Citations - xcist/documentation GitHub Wiki

  1. Deep learning for tomographic image reconstruction G Wang, JC Ye, B De Man - Nature machine intelligence, 2020 - nature.com Deep-learning-based tomographic imaging is an important application of artificial intelligence and a new frontier of machine learning. Deep learning has been widely used in … Cited by 395 Related articles All 4 versions

  2. Virtual clinical trials in medical imaging: a review E Abadi, WP Segars, BMW Tsui… - Journal of Medical …, 2020 - spiedigitallibrary.org The accelerating complexity and variety of medical imaging devices and methods have outpaced the ability to evaluate and optimize their design and clinical use. This is a … Cited by 157 Related articles All 15 versions

  3. A perspective on deep imaging G Wang - IEEE access, 2016 - ieeexplore.ieee.org The combination of tomographic imaging and deep learning, or machine learning in general, promises to empower not only image analysis but also image reconstruction. The … Cited by 526 Related articles All 6 versions

  4. Modelling the physics in the iterative reconstruction for transmission computed tomography J Nuyts, B De Man, JA Fessler… - Physics in Medicine …, 2013 - iopscience.iop.org There is an increasing interest in iterative reconstruction (IR) as a key tool to improve quality and increase applicability of x-ray CT imaging. IR has the ability to significantly reduce … Cited by 264 Related articles All 16 versions

  5. Review of high energy x-ray computed tomography for non-destructive dimensional metrology of large metallic advanced manufactured components W Sun, DR Symes, CM Brenner… - Reports on Progress …, 2022 - iopscience.iop.org Advanced manufacturing technologies, led by additive manufacturing, have undergone significant growth in recent years. These technologies enable engineers to design parts with … Cited by 24 Related articles All 8 versions

  6. DukeSim: a realistic, rapid, and scanner-specific simulation framework in computed tomography E Abadi, B Harrawood, S Sharma… - IEEE transactions on …, 2018 - ieeexplore.ieee.org The purpose of this study was to develop a CT simulation platform that is: 1) compatible with voxel-based computational phantoms; 2) capable of modeling the geometry and physics of … Cited by 91 Related articles All 5 versions

  7. Deep learning methods for CT image-domain metal artifact reduction L Gjesteby, Q Yang, Y Xi, H Shan… - Developments in X …, 2017 - spiedigitallibrary.org Artifacts resulting from metal objects have been a persistent problem in CT images over the last four decades. A common approach to overcome their effects is to replace corrupt … Cited by 92 Related articles All 3 versions

  8. A dual-stream deep convolutional network for reducing metal streak artifacts in CT images L Gjesteby, H Shan, Q Yang, Y Xi, Y Jin… - Physics in Medicine …, 2019 - iopscience.iop.org Abstract Machine learning and deep learning are rapidly finding applications in the medical imaging field. In this paper, we address the long-standing problem of metal artifacts in … Cited by 57 Related articles All 6 versions

  9. Deep convolutional neural network with adversarial training for denoising digital breast tomosynthesis images M Gao, JA Fessler, HP Chan - IEEE transactions on medical …, 2021 - ieeexplore.ieee.org Digital breast tomosynthesis (DBT) is a quasi-three-dimensional imaging modality that can reduce false negatives and false positives in mass lesion detection caused by overlapping … Cited by 31 Related articles All 8 versions

  10. Tomographic image reconstruction via machine learning G Wang, W Cong, Y Qingsong - US Patent 10,970,887, 2021 - Google Patents Tomographic/tomosynthetic image reconstruction systems and methods in the framework of machine learning, such as deep learning, are provided. A machine learning algorithm can … Cited by 71 Related articles All 4 versions

  11. Xcist—an open access x-ray/ct simulation toolkit M Wu, P FitzGerald, J Zhang, WP Segars… - Physics in Medicine …, 2022 - iopscience.iop.org Objective. X-ray-based imaging modalities including mammography and computed tomography (CT) are widely used in cancer screening, diagnosis, staging, treatment … Cited by 14 Related articles All 7 versions

  12. CT Image Contrast of High-Z Elements: Phantom Imaging Studies and Clinical Implications PF FitzGerald, RE Colborn, PM Edic, JW Lambert… - Radiology, 2016 - pubs.rsna.org Purpose To quantify the computed tomographic (CT) image contrast produced by potentially useful contrast material elements in clinically relevant imaging conditions. Materials and … Cited by 91 Related articles All 6 versions

  13. Detective quantum efficiency of photon-counting CdTe and Si detectors for computed tomography: a simulation study M Persson, A Wang, NJ Pelc - Journal of Medical Imaging, 2020 - spiedigitallibrary.org Purpose: Developing photon-counting CT detectors requires understanding the impact of parameters, such as converter material, thickness, and pixel size. We apply a linear-systems … Cited by 42 Related articles All 8 versions

  14. Performance evaluation of digital breast tomosynthesis systems: physical methods and experimental data NW Marshall, H Bosmans - Physics in Medicine & Biology, 2022 - iopscience.iop.org Digital breast tomosynthesis (DBT) has become a well-established breast imaging technique, whose performance has been investigated in many clinical studies, including a … Cited by 10 Related articles All 6 versions

  15. Ultra-low dose CT attenuation correction for PET/CT T Xia, AM Alessio, B De Man… - Physics in Medicine …, 2011 - iopscience.iop.org A challenge for positron emission tomography/computed tomography (PET/CT) quantitation is patient respiratory motion, which can cause an underestimation of lesion activity uptake … Cited by 125 Related articles All 13 versions

  16. Modeling lung architecture in the XCAT series of phantoms: physiologically based airways, arteries and veins E Abadi, WP Segars, GM Sturgeon… - IEEE transactions on …, 2017 - ieeexplore.ieee.org The purpose of this paper was to extend the extended cardiac-torso (XCAT) series of computational phantoms to include a detailed lung architecture including airways and … Cited by 65 Related articles All 6 versions

  17. Metal artifact reduction in CT using fusion based prior image J Wang, S Wang, Y Chen, J Wu, JL Coatrieux… - Medical …, 2013 - Wiley Online Library Purpose: In computed tomography, metallic objects in the scanning field create the so‐ called metal artifacts in the reconstructed images. Interpolation‐based methods for metal … Cited by 84 Related articles All 9 versions

  18. Dual energy CT via fast kVp switching spectrum estimation D Xu, DA Langan, X Wu, JD Pack… - … 2009: Physics of …, 2009 - spiedigitallibrary.org Recently there has been significant interest in dual energy CT imaging with several acquisition methods being actively pursued. Here we investigate fast kVp switching where … Cited by 113 Related articles All 4 versions

  19. Reducing metal streak artifacts in CT images via deep learning: Pilot results L Gjesteby, Q Yang, Y Xi, B Claus… - … meeting on fully …, 2017 - onlinelibrary.fully3d.org Machine learning including deep learning is rapidly gaining popularity as a generic solution to problems across many fields. In medical imaging, deep learning has been successfully … Cited by 53 Related articles

  20. A scanner-specific framework for simulating CT images with tube current modulation G Jadick, E Abadi, B Harrawood… - Physics in Medicine …, 2021 - iopscience.iop.org Although tube current modulation (TCM) is routinely implemented in modern computed tomography (CT) scans, no existing CT simulator is capable of generating realistic images … Cited by 17 Related articles All 7 versions

  21. Accurate image domain noise insertion in CT images SE Divel, NJ Pelc - IEEE transactions on medical imaging, 2019 - ieeexplore.ieee.org Tools to simulate lower dose, noisy computed tomography (CT) images from existing data enable protocol optimization by quantifying the trade-off between patient dose and image … Cited by 33 Related articles All 3 versions

  22. On the conditioning of basis materials and its impact on multimaterial decomposition‐based spectral imaging in photon‐counting CT X Tang, Y Ren - Medical Physics, 2021 - Wiley Online Library Purpose Material‐specific imaging and virtual monochromatic imaging/analysis are the two forms of spectral imaging in CT implemented via either energy‐integration or photon … Cited by 18 Related articles All 4 versions

  23. Spatially Addressable Multiplex Biodetection by Calibrated Micro/Nanostructured Surfaces S Dobroiu, FC van Delft, A Sudalaiyadum Perumal… - ACS …, 2023 - ACS Publications A challenge of any biosensing technology is the detection of very low concentrations of analytes. The fluorescence interference contrast (FLIC) technique improves the fluorescence … Cited by 1 Related articles All 6 versions

  24. Performance evaluation of digital breast tomosynthesis systems: comparison of current virtual clinical trial methods NW Marshall, H Bosmans - Physics in Medicine & Biology, 2022 - iopscience.iop.org Virtual clinical trials (VCT) have been developed by a number of groups to study breast imaging applications, with the focus on digital breast tomosynthesis imaging. In this review … Cited by 7 Related articles All 6 versions

  25. Toward clinically compatible phase-contrast mammography K Scherer, K Willer, L Gromann, L Birnbacher, E Braig… - PloS one, 2015 - journals.plos.org Phase-contrast mammography using laboratory X-ray sources is a promising approach to overcome the relatively low sensitivity and specificity of clinical, absorption-based screening … Cited by 54 Related articles All 16 versions

  26. Principal component analysis in projection and image domains—another form of spectral imaging in photon-counting CT H Xie, Y Ren, W Long, X Yang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org Objective: We explore the feasibility of principal component analysis (PCA) as a form of spectral imaging in photon-counting CT. Methods: Using the data acquired by a prototype … Cited by 20 Related articles All 4 versions

  27. Low-dimensional manifold-constrained disentanglement network for metal artifact reduction C Niu, W Cong, FL Fan, H Shan, M Li… - IEEE transactions on …, 2021 - ieeexplore.ieee.org Deep neural network-based methods have achieved promising results for computed tomography (CT) metal artifact reduction (MAR), most of which use many synthesized paired … Cited by 18 Related articles All 7 versions

  28. Task-oriented low-dose CT image denoising J Zhang, H Chao, X Xu, C Niu, G Wang… - Medical Image Computing …, 2021 - Springer The extensive use of medical CT has raised a public concern over the radiation dose to the patient. Reducing the radiation dose leads to increased CT image noise and artifacts, which … Cited by 17 Related articles All 5 versions

  29. The application of metal artifact reduction methods on computed tomography scans for radiotherapy applications: A literature review S Puvanasunthararajah, D Fontanarosa… - Journal of Applied …, 2021 - Wiley Online Library Metal artifact reduction (MAR) methods are used to reduce artifacts from metals or metal components in computed tomography (CT). In radiotherapy (RT), CT is the most used … Cited by 23 Related articles All 11 versions

  30. Clinical micro-CT empowered by interior tomography, robotic scanning, and deep learning M Li, Z Fang, W Cong, C Niu, W Wu, J Uher… - IEEE …, 2020 - ieeexplore.ieee.org While micro-CT systems are instrumental in preclinical research, clinical micro-CT imaging has long been desired with cochlear implantation as a primary application. The structural … Cited by 13 Related articles All 9 versions

  31. Impact of upstream medical image processing on downstream performance of a head CT triage neural network SM Hooper, JA Dunnmon, MP Lungren… - Radiology: Artificial …, 2021 - pubs.rsna.org Purpose To develop a convolutional neural network (CNN) to triage head CT (HCT) studies and investigate the effect of upstream medical image processing on the CNN's performance … Cited by 6 Related articles All 5 versions

  32. Energy window optimization for X-ray K-edge tomographic imaging B Meng, W Cong, Y Xi, B De Man… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org Goal: In K-edge tomographic imaging with photon counting detectors, the energy window width of photon counting detectors significantly affects the signal-to-noise ratio (SNR) of … Cited by 29 Related articles All 6 versions

  33. Low-cost probabilistic 3D denoising with applications for ultra-low-radiation computed tomography I Horenko, L Pospíšil, E Vecchi, S Albrecht, A Gerber… - Journal of …, 2022 - mdpi.com We propose a pipeline for synthetic generation of personalized Computer Tomography (CT) images, with a radiation exposure evaluation and a lifetime attributable risk (LAR) … Cited by 4 Related articles All 7 versions

  34. Statistical CT noise reduction with multiscale decomposition and penalized weighted least squares in the projection domain S Tang, X Tang - Medical physics, 2012 - Wiley Online Library Purposes: The suppression of noise in x‐ray computed tomography (CT) imaging is of clinical relevance for diagnostic image quality and the potential for radiation dose saving … Cited by 40 Related articles All 7 versions

  35. Image reconstruction: Algorithms and analysis JA Fessler - Under preparation, 2008 - eecs.umich.edu This book describes the theory and practice of iterative methods for tomographic image reconstruction and related inverse problems such as image restoration. I emphasize … Cited by 49 Related articles All 2 versions

  36. Computer-assisted scan protocol and reconstruction (CASPAR)—Reduction of image noise and patient dose J Sperl, D Bequé, B Claus, B De Man… - IEEE transactions on …, 2010 - ieeexplore.ieee.org X-ray computed tomography is a powerful medical imaging device. It allows high-resolution 3-D visualization of the human body. However, one drawback is the health risk associated … Cited by 52 Related articles All 5 versions

  37. Multi-source inverse geometry CT: a new system concept for X-ray computed tomographyB De Man, S Basu, D Bequé, B Claus… - … 2007: Physics of …, 2007 - spiedigitallibrary.org Third-generation CT architectures are approaching fundamental limits. Spatial resolution is limited by the focal spot size and the detector cell size. Temporal resolution is limited by … Cited by 59 Related articles All 4 versions

  38. Ultra-low dose CT attenuation correction for PET/CT: analysis of sparse view data acquisition and reconstruction algorithms X Rui, L Cheng, Y Long, L Fu, AM Alessio… - Physics in Medicine …, 2015 - iopscience.iop.org Abstract For PET/CT systems, PET image reconstruction requires corresponding CT images for anatomical localization and attenuation correction. In the case of PET respiratory gating … Cited by 26 Related articles All 8 versions

  39. CT image reconstruction on a low dimensional manifold W Cong, G Wang, Q Yang, J Li, J Hsieh… - Inverse problems and …, 2019 - ncbi.nlm.nih.gov The patch manifold of a natural image has a low dimensional structure and accommodates rich structural information. Inspired by the recent work of the low-dimensional manifold … Cited by 19 Related articles All 10 versions

  40. Image quality comparison between single energy and dual energy CT protocols for hepatic imaging Y Yao, JM Ng, AJ Megibow, NJ Pelc - Medical Physics, 2016 - Wiley Online Library Purpose: Multi‐detector computed tomography (MDCT) enables volumetric scans in a single breath hold and is clinically useful for hepatic imaging. For simple tasks, conventional single … Cited by 21 Related articles All 8 versions

  41. Dual energy CT for attenuation correction with PET/CT T Xia, AM Alessio, PE Kinahan - Medical physics, 2014 - Wiley Online Library Purpose: The authors evaluate the energy dependent noise and bias properties of monoenergetic images synthesized from dual‐energy CT (DECT) acquisitions. These … Cited by 30 Related articles All 12 versions

  42. High-kVp assisted metal artifact reduction for X-ray computed tomography Y Xi, Y Jin, B De Man, G Wang - IEEE Access, 2016 - ieeexplore.ieee.org In X-ray computed tomography (CT), the presence of metallic parts in patients causes serious artifacts and degrades image quality. Many algorithms were published for metal … Cited by 19 Related articles All 9 versions

  43. Liquid tissue surrogates for X‐ray and CT phantom studies PF FitzGerald, RE Colborn, PM Edic… - Medical …, 2017 - Wiley Online Library Purpose To develop a simple method for producing liquid‐tissue‐surrogate (LTS) materials that accurately represent human soft tissues in terms of density and X‐ray attenuation … Cited by 17 Related articles All 6 versions

  44. Effect of source blur on digital breast tomosynthesis reconstruction J Zheng, JA Fessler, HP Chan - Medical physics, 2019 - Wiley Online Library Purpose Most digital breast tomosynthesis (DBT) reconstruction methods neglect the blurring of the projection views caused by the finite size or motion of the x‐ray focal spot … Cited by 12 Related articles All 7 versions

  45. Low-dose, phase-contrast mammography with high signal-to-noise ratio LB Gromann, D Bequé, K Scherer, K Willer… - Biomedical optics …, 2016 - opg.optica.org Differential phase-contrast X-ray imaging using a Talbot-Lau interferometer has recently shown promising results for applications in medical imaging. However, reducing the applied … Cited by 20 Related articles All 10 versions

  46. Block-based iterative coordinate descent TM Benson, BKB De Man, L Fu… - IEEE Nuclear Science …, 2010 - ieeexplore.ieee.org In the context of X-ray computed tomography (CT), the iterative coordinate descent (ICD) algorithm is a reconstruction algorithm that computes image updates on a voxel-by-voxel … Cited by 34 Related articles All 2 versions

  47. Fluid‐filled dynamic bowtie filter: Description and comparison with other modulators P Shunhavanich, SS Hsieh, NJ Pelc - Medical physics, 2019 - Wiley Online Library Purpose A dynamic bowtie filter can modulate flux along both fan and view angles for reduced patient dose, scatter, and required photon flux, which is especially important for … Cited by 13 Related articles All 7 versions

  48. Experimental validation of Fastcat kV and MV cone beam CT (CBCT) simulator J O'Connell, C Lindsay, M Bazalova‐Carter - Medical Physics, 2021 - Wiley Online Library Purpose: To experimentally validate the Fastcat cone beam computed tomography (CBCT) simulator against kV and MV CBCT images acquired with a Varian Truebeam linac … Cited by 7 Related articles All 5 versions

  49. Acquisition, preprocessing, and reconstruction of ultralow dose volumetric CT scout for organ‐based CT scan planning Z Yin, Y Yao, A Montillo, M Wu, PM Edic… - Medical …, 2015 - Wiley Online Library Purpose: Traditionally, 2D radiographic preparatory scan images (scout scans) are used to plan diagnostic CT scans. However, a 3D CT volume with a full 3D organ segmentation map … Cited by 19 Related articles All 11 versions

  50. Development of a physical 3D anthropomorphic breast texture model using selective laser sintering rapid prototype printing JG Mainprize, AK Carton, R Klausz, Z Li… - … 2018: Physics of …, 2018 - spiedigitallibrary.org Anthropomorphic breast phantoms are useful for development and characterization of breast x-ray imaging systems. Rapid prototyping (RP) opens a new way for generating complex … Cited by 14 Related articles All 3 versions

  51. Inverse geometry CT: The next-generation CT architecture? B De Man, S Basu, P Fitzgerald… - 2007 IEEE Nuclear …, 2007 - ieeexplore.ieee.org We present a new system architecture for X-ray computed tomography (CT). A multi-source inverse-geometry CT scanner is composed of a large distributed X-ray source with an array … Cited by 35 Related articles All 2 versions

  52. Low-dose 3D quantitative vascular X-ray imaging of the breast PM de Carvalho - 2014 - theses.hal.science Background: Worldwide, breast cancer is the most common cancer and second deadliest cancer in women. Diagnostic imaging techniques are a critical part for screening, diagnosis … Cited by 17 Related articles All 2 versions

  53. Noise correlation and its impact on the performance of multi‐material decomposition‐based spectral imaging in photon‐counting CT X Tang, Y Ren, H Xie - Journal of Applied Clinical Medical …, 2023 - Wiley Online Library Purpose It has been known that noise correlation plays an important role in the determination of the performance of spectral imaging based on two‐material decomposition … Cited by 1 Related articles All 6 versions

  54. Development, validation, and simplification of a scanner‐specific CT simulator SAM Tunissen, LJ Oostveen, N Moriakov… - Medical …, 2024 - Wiley Online Library Background Simulated computed tomography (CT) images allow for knowledge of the underlying ground truth and for easy variation of imaging conditions, making them ideal for … Related articles All 5 versions

  55. Fast kV switching for improved material decomposition with photon counting x-ray detectors S Wang, Y Yang, D Pal, NJ Pelc… - Medical Imaging 2022 …, 2022 - spiedigitallibrary.org Photon counting x-ray detectors enable spectral imaging, which can be utilized for material decomposition and quantitative imaging tasks. This study investigates potential benefits of … Cited by 3 Related articles All 2 versions

  56. 3D analytic cone-beam reconstruction for multiaxial CT acquisitions Z Yin, B De Man, J Pack - International journal of biomedical …, 2009 - hindawi.com A conventional 3rd generation Computed Tomography (CT) system with a single circular source trajectory is limited in terms of longitudinal scan coverage since extending the scan … Cited by 22 Related articles All 14 versions

  57. Synthetic CT noise emulation in the raw data domain TM Benson, BKB De Man - IEEE Nuclear Science Symposuim …, 2010 - ieeexplore.ieee.org Synthetic CT noise emulation in the raw data domain is reported. A method that synthetically adds noise directly in the raw data domain (ie, before the negative log and associated pre … Cited by 24 Related articles All 2 versions

  58. Validation of A Bi-energetic spectrum approximation in bone mineral density measurement with A dxa digital twin K Haddadi, S Muller, I Bloch - 2021 IEEE 18th International …, 2021 - ieeexplore.ieee.org Modern DXA (Dual Energy X-ray Absorptiometry) equipments allow both quantifying compositional and geometrical features on images with high accuracy, such as bone … Cited by 4 Related articles All 6 versions

  59. Protocol optimization for functional cardiac CT imaging using noise emulation in the raw data domain Z Yin, P Wu, A Manohar, ER McVeigh… - Medical Physics, 2024 - Wiley Online Library Abstract Background Four‐dimensional (4D) wide coverage computed tomography (CT) is an effective imaging modality for measuring the mechanical function of the myocardium … Related articles All 8 versions

  60. Denoising digital breast tomosynthesis projections using deep learning with synthetic data as training set DMN de Araújo, DHP Salvadeo… - Journal of Medical …, 2023 - spiedigitallibrary.org Purpose Image denoising based on deep neural networks (DNN) needs a big dataset containing digital breast tomosynthesis (DBT) projections acquired in different radiation … Related articles All 4 versions

  61. Development of a realistic, dynamic digital brain phantom for CT perfusion validation SE Divel, WP Segars, S Christensen… - … 2016: Physics of …, 2016 - spiedigitallibrary.org Physicians rely on CT Perfusion (CTP) images and quantitative image data, including cerebral blood flow, cerebral blood volume, and bolus arrival delay, to diagnose and treat … Cited by 13 Related articles All 4 versions

  62. Comparison of microcalcification detectability in FFDM and DBT using a virtual clinical trial Z Li, A Desolneux, S Muller… - Medical Imaging …, 2018 - spiedigitallibrary.org The ultimate way to assess the performance of imaging systems is a clinical trial. Due to its limitation by cost and duration, several research groups are investigating the potential to … Cited by 10 Related articles All 3 versions

  63. 2.5 D dictionary learning based computed tomography reconstruction J Luo, H Eri, A Can, S Ramani, L Fu… - … Detection and Imaging …, 2016 - spiedigitallibrary.org A computationally efficient 2.5 D dictionary learning (DL) algorithm is proposed and implemented in the model-based iterative reconstruction (MBIR) framework for low-dose CT … Cited by 13 Related articles All 2 versions

  64. High-resolution interior tomography with a deep neural network trained on a low-resolution dataset M Li, W Cong, G Wang - Developments in X-Ray Tomography …, 2021 - spiedigitallibrary.org Micro-/nano-CT has been widely used in practice to offer noninvasive 3D high-resolution (HR) imaging. However, increased resolution is often at a cost of a reduced field of view … Cited by 4 Related articles All 3 versions

  65. Semiempirical, parameterized spectrum estimation for x‐ray computed tomography P FitzGerald, S Araujo, M Wu, B De Man - Medical physics, 2021 - Wiley Online Library Purpose To develop a tool to produce accurate, well‐validated x‐ray spectra for standalone use or for use in an open‐access x‐ray/CT simulation tool. Spectrum models will be … Cited by 4 Related articles All 6 versions

  66. Deep-silicon photon-counting x-ray projection denoising through reinforcement learning MS Tanveer, C Wiedeman, M Li, Y Shi… - Journal of X-Ray …, 2024 - content.iospress.com BACKGROUND: In recent years, deep reinforcement learning (RL) has been applied to various medical tasks and produced encouraging results. OBJECTIVE: In this paper, we … Related articles All 3 versions

  67. Development and tuning of models for accurate simulation of CT spatial resolution using CatSim J Zhang, M Wu, P FitzGerald, S Araujo… - Physics in Medicine & …, 2024 - iopscience.iop.org Objective. We sought to systematically evaluate CatSim's ability to accurately simulate the spatial resolution produced by a typical 64-detector-row clinical CT scanner in the projection … Related articles All 4 versions

  68. A virtual human breast phantom using surface meshes and geometric internal structures AK Carton, A Grisey, PM de Carvalho… - Breast Imaging: 12th …, 2014 - Springer A highly realistic virtual imaging chain including a model of the human breast could become an important tool for breast imaging system development, optimization and performance … Cited by 15 Related articles

  69. Preliminary study of CEDBT and CESM performances using simulated analytical contrast uptakes RS De La Rosa, AK Carton… - 2018 IEEE 15th …, 2018 - ieeexplore.ieee.org Contrast Enhanced Spectral Mammography (CESM) delivers in one single exam both morphological information and contrast uptakes of hyper-vascularized tissues in breasts … Cited by 8 Related articles All 4 versions

  70. Limits of ultra-low dose CT attenuation correction for PET/CT T Xia, AM Alessio, PE Kinahan - 2009 IEEE Nuclear Science …, 2009 - ieeexplore.ieee.org We present an analysis of the effects of ultra-low dose X-ray computerized tomography (CT) based attenuation correction for positron emission tomography (PET). By ultra low dose we … Cited by 18 Related articles All 8 versions

  71. Multiple window learning for CT metal artifact reduction C Niu, M Li, G Wang - Developments in X-Ray Tomography …, 2021 - spiedigitallibrary.org Deep learning based methods have achieved promising results for CT metal artifact reduction (MAR) by learning to map an artifact-affected image or projection data to the … Cited by 6 Related articles All 2 versions

  72. Segmented separable footprint projector for digital breast tomosynthesis and its application for subpixel reconstruction J Zheng, JA Fessler, HP Chan - Medical physics, 2017 - Wiley Online Library Purpose Digital forward and back projectors play a significant role in iterative image reconstruction. The accuracy of the projector affects the quality of the reconstructed images … Cited by 12 Related articles All 8 versions

  73. MACE CT Reconstruction for Modular Material Decomposition from Energy Resolving Photon-Counting Data NM Jadue, M Nagare, JS Maltz, GT Buzzard… - arXiv preprint arXiv …, 2024 - arxiv.org X-ray computed tomography (CT) based on photon counting detectors (PCD) extends standard CT by counting detected photons in multiple energy bins. PCD data can be used to … Related articles All 2 versions

  74. Development of a fast, voxel-based, and scanner-specific CT simulator for image-quality-based virtual clinical trials E Abadi, B Harrawood, A Kapadia… - … 2018: Physics of …, 2018 - spiedigitallibrary.org This study aimed to develop a simulation framework to synthesize accurate and scanner- specific Computed Tomography (CT) images of voxel-based computational phantoms. Two … Cited by 9 Related articles All 3 versions

  75. Simulation and analysis of image quality impacts from single source, ultra-wide coverage CT scanner B Li, TL Toth, J Hsieh, X Tang - Journal of X-Ray Science and …, 2012 - content.iospress.com Future generations of CT systems would need a mean to cover an entire organ in a single rotation. A way to accomplish this is to physically increase detector size to provide, eg, 120∼ … Cited by 15 Related articles All 3 versions

  76. Analytical cone-beam reconstruction using a multi-source inverse geometry CT system Z Yin, B De Man, J Pack - Medical Imaging 2007: Physics of …, 2007 - spiedigitallibrary.org In a 3rd generation CT system, a single source projects the entire field of view (FOV) onto a large detector opposite the source. In multi-source CT imaging, a multitude of sources … Cited by 19 Related articles All 4 versions

  77. Iterative reconstruction for multi-source inverse geometry CT: a feasibility study D Bequé, B De Man, M Iatrou - Medical Imaging 2007: Physics …, 2007 - spiedigitallibrary.org In a 3 rd generation CT system, a single source projects the entire field of view (FOV) onto a large detector opposite to the source. In multi-source inverse geometry CT imaging, a … Cited by 17 Related articles All 4 versions

  78. Model and reconstruction of a K-edge contrast agent distribution with an X-ray photon-counting detector B Meng, W Cong, Y Xi, B De Man, J Yang, G Wang - Optics express, 2017 - opg.optica.org Contrast-enhanced computed tomography (CECT) helps enhance the visibility for tumor imaging. When a high-Z contrast agent interacts with X-rays across its K-edge, X-ray … Cited by 9 Related articles All 7 versions

  79. A preliminary investigation of 3D preconditioned conjugate gradient reconstruction for cone-beam CT L Fu, B De Man, K Zeng, TM Benson… - … 2012: Physics of …, 2012 - spiedigitallibrary.org Model-based iterative reconstruction (MBIR) methods based on maximum a posteriori (MAP) estimation have been recently introduced to multi-slice CT scanners. The model-based … Cited by 14 Related articles All 4 versions

  80. Energy dispersive X-ray diffraction spectral resolution considerations for security screening applications C Cozzini, G Harding, P Edic, D Beque… - … & Medical Imaging …, 2010 - ieeexplore.ieee.org Energy dispersive X-ray diffraction (EDXRD) is a very effective method for explosive and narcotic threat detection in baggage screening. The XRD profiles arise from the molecular … Cited by 17 Related articles All 2 versions

  81. Photon-counting CT using a Conditional Diffusion Model for Super-resolution and Texture-preservation C Wiedeman, C Niu, M Li, B De Man, JS Maltz… - arXiv preprint arXiv …, 2024 - arxiv.org Ultra-high resolution images are desirable in photon counting CT (PCCT), but resolution is physically limited by interactions such as charge sharing. Deep learning is a possible … Related articles All 2 versions

  82. Metal artifact reduction for radiation therapy: a simulation study Y Jin, D Giantsoudi, L Fu, J Verburg… - … 2018: Physics of …, 2018 - spiedigitallibrary.org Metal artifacts have been a challenge in computed tomography (CT) for nearly four decades. Despite intensive research in this area, challenges still exist in commercial metal artifact … Cited by 7 Related articles All 3 versions

  83. Coronary Atherosclerotic Plaque Characterization with Photon-counting CT: a Simulation-based Feasibility Study M Li, M Wu, J Pack, P Wu, B De Man, A Wang… - arXiv preprint arXiv …, 2023 - arxiv.org Recent development of photon-counting CT (PCCT) brings great opportunities for plaque characterization with much-improved spatial resolution and spectral imaging capability … Related articles All 2 versions

  84. Photon‐counting CT via interleaved/gapped spectral channels: Feasibility and imaging performance X Tang, Y Ren, H Xie - Medical Physics, 2022 - Wiley Online Library Purpose Compared to energy integration, photon‐counting x‐ray detection facilitates the spectral channelization (energy binning) in spectral CT and thus offers the opportunity to … Cited by 1 Related articles All 4 versions

  85. Prediction coefficient estimation in markov random fields for iterative x-ray ct reconstruction J Wang, K Sauer, JB Thibault, Z Yu… - Medical Imaging 2012 …, 2012 - spiedigitallibrary.org Bayesian estimation is a statistical approach for incorporating prior information through the choice of an a priori distribution for a random field. A priori image models in Bayesian image … Cited by 12 Related articles All 4 versions

  86. CNR Analysis of Dual Energy Technologies Y Jin, H Gao, J Pack, U Wiedmann… - Proceeding of CT …, 2014 - researchgate.net We present a comparative study of different dual energy techniques in X-ray computed tomography (CT), based on dual kVp, dual layer detectors and photon-counting detectors. A … Cited by 6 Related articles

  87. CT metal artifacts simulation under x-ray total absorption M Shutov, M Gilmanov, D Polevoy… - … on Machine Vision …, 2024 - spiedigitallibrary.org Computed tomography (CT) is a powerful tool for reconstruction and analysis of inner structure of objects applied in various fields. Although many classes of objects of interest … Related articles All 3 versions

  88. A comparative study of numerical analysis packages K Shaukat, F Tahir, U Iqbal, S Amjad - International Journal of …, 2018 - researchgate.net Numerical Analysis packages provide a convenient command line that helps in solving several mathematical problems and experiments. Matrix laboratory (MATLAB) is the most … Cited by 4 Related articles All 3 versions

  89. Modeling scattering for security applications: a multiple beam x-ray diffraction imaging system C Cozzini, S Olesinski, G Harding - 2012 IEEE Nuclear …, 2012 - ieeexplore.ieee.org In the past decades several authors have demonstrated the ability of X-Ray Diffraction Imaging (XDI) in providing spatial and material specific information about the object under … Cited by 8 Related articles All 3 versions

  90. Multiple window learning for CT metal artifact reduction C Niu, M Li, G Wang - Proc. of SPIE Vol - spiedigitallibrary.org Deep learning based methods have achieved promising results for CT metal artifact reduction (MAR) by learning to map an artifact-affected image or projection data to the … Cited by 2 Related articles

  91. Proton-stopping power ratio prediction using photon-counting computed tomography and deep learning K Larsson, D Hein, R Huang, D Collin… - … 2024: Physics of …, 2024 - spiedigitallibrary.org Proton radiation therapy has the potential of achieving precise dose delivery to the tumor while sparing non-cancerous surrounding tissue, owing to the sharp Bragg peaks of protons … Related articles All 2 versions

  92. Noise and bias properties of monoenergetic images from DECT used for attenuation correction with PET/CT and SPECT/CT T Xia, AM Alessio, PE Kinahan - Medical Imaging 2010 …, 2010 - spiedigitallibrary.org We evaluate the energy dependent noise and bias properties of monoenergetic images synthesized from dual-energy CT (DECT) acquisitions used to estimate attenuation … Cited by 8 Related articles All 9 versions

  93. Digital breast tomosynthesis denoising using deep convolutional neural network: effects of dose level of training target images M Gao, JA Fessler, HP Chan - Medical Imaging 2021: Physics …, 2021 - spiedigitallibrary.org This paper investigates the training of deep convolutional neural networks (DCNNs) to denoise digital breast tomosynthesis (DBT) images. In our approach, the DCNN was trained … Cited by 2 Related articles All 4 versions

  94. Low does calcium scoring in cardiac computer tomography using deep learning V Singhal, S Abrol, D Mulot, A Deubig… - Medical Imaging …, 2024 - spiedigitallibrary.org Coronary Artery Calcium Scoring (CACS) is used for cardiac risk assessment caused by atherosclerotic plaque or other coronary artery diseases. Images from Non-Contrast (NC) … Related articles All 2 versions

  95. Influence of DBT reconstruction algorithm on power law spectrum coefficient L Vancamberg, AK Carton… - … 2015: Physics of …, 2015 - spiedigitallibrary.org In breast X-ray images, texture has been characterized by a noise power spectrum (NPS) that has an inverse power-law shape described by its slope β in the log-log domain. It has … Cited by 5 Related articles All 3 versions

  96. Estimation of radiation dose in CT based on projection data X Tian, Z Yin, B De Man, E Samei - Journal of digital imaging, 2016 - Springer Managing and optimizing radiation dose has become a core problem for the CT community. As a fundamental step for dose optimization, accurate and computationally efficient dose … Cited by 6 Related articles All 9 versions

  97. Quantitative evaluation of fibroglandular tissue for estimation of tissue-differentiated absorbed energy in breast tomosynthesis N Geeraert - 2014 - pastel.hal.science In this research project the main goals were a) to implement a method for the computation of the volumetric breast density (VBD), and b) to propose an improved quantity for the … Cited by 5 Related articles All 5 versions

  98. Reconstruction for time-domain in vivo EPR 3D multigradient oximetric imaging: a parallel processing perspective CD Dharmaraj, K Thadikonda, AR Fletcher… - Journal of Biomedical …, 2009 - dl.acm.org Three-dimensional Oximetric Electron Paramagnetic Resonance Imaging using the Single Point Imaging modality generates unpaired spin density and oxygen images that can readily … Cited by 9 Related articles All 20 versions

  99. Method for decreasing CT simulation time of complex phantoms and systems through separation of material specific projection data SE Divel, S Christensen, M Wintermark… - … 2017: Physics of …, 2017 - spiedigitallibrary.org Computer simulation is a powerful tool in CT; however, long simulation times of complex phantoms and systems, especially when modeling many physical aspects (eg, spectrum … Cited by 4 Related articles All 4 versions

  100. Upper-bound on dose reduction in CT reconstruction for nodule detection R De Man, G Wang, MK Kalra, A Otrakji, S Hsieh… - IEEE …, 2016 - ieeexplore.ieee.org The success of X-ray computed tomography (CT) as a widespread medical diagnosis tool has led to concerns about possible harm due to the increased average radiation dose to the … Cited by 4 Related articles All 3 versions

  101. Statistical distributions of ultra-low dose CT sinograms in the data processing stream TC Lee, R Zhang, AM Alessio, L Fu… - … Conference on Image …, 2016 - researchgate.net Low dose CT imaging is typically constrained to be diagnostic. However, there are applications for even lower-dose CT imaging, including image registration across multi … Cited by 4 Related articles

  102. Optimization of X-ray spectra for dual-energy contrast-enhanced breast imaging: Dependency on CsI detector scintillator thickness PM de Carvalho, AK Carton, S Saab-Puong… - Breast Imaging: 12th …, 2014 - Springer Columnar structured cesium iodide (CsI) scintillators doped with Thallium (Tl) have been used extensively for indirect X-ray imaging detectors. Here, theoretical modeling was … Cited by 5 Related articles

  103. Modeling and estimation of detector response and focal spot profile for high-resolution iterative CT reconstruction L Fu, J Wang, X Rui, JB Thibault… - 2013 IEEE Nuclear …, 2013 - ieeexplore.ieee.org High spatial resolution in x-ray computed tomography (CT) is paramount in many clinical applications. The realization of high-resolution CT requires both high-precision imaging … Cited by 6 Related articles All 2 versions

  104. Iodine K-edge imaging in photon counting CT through multiple two-basis decompositions and deep learning SSM Tehrani, K Larsson, F Grönberg… - … 2024: Physics of …, 2024 - spiedigitallibrary.org One advantage of photon-counting CT compared to dual-energy CT is the possibility to perform K-edge imaging, where contrast agents such as iodine can be distinguished from … Related articles All 2 versions

  105. Ultrasound transducer induced CT artifacts correction in ultrasound-guided proton therapy for cardiac arrhythmia S Puvanasunthararajah - 2024 - eprints.qut.edu.au This collaborative project between QUT and a Swiss CERN spin-off company, EBAMed, solved one of the most challenging problems in an innovative advanced treatment modality … Related articles All 2 versions

  106. Bias in PET images of solid phantoms due to CT-based attenuation correction DW Byrd, JJ Sunderland, TC Lee, PE Kinahan - Tomography, 2019 - mdpi.com The use of computed tomography (CT) images to correct for photon attenuation in positron emission tomography (PET) produces unbiased patient images, but it is not optimal for … Cited by 3 Related articles All 8 versions

  107. Spectra optimization for dual-energy contrast-enhanced breast CT PM de Carvalho, AK Carton… - … 2013: Physics of …, 2013 - spiedigitallibrary.org This work investigates a dual-energy subtraction technique for cone-beam breast CT combined with an iodinated contrast agent. Simulations were performed to obtain optimally … Cited by 5 Related articles All 2 versions

  108. Developing Lower Cost Radiotherapy Solutions for Low and Middle Income Countries J O'Connell - 2023 - dspace.library.uvic.ca Radiotherapy research often focuses on state-of-the-art methods to provide small improvements in the treatment of patients in high-income countries, while less focus is put … Related articles All 2 versions

  109. Deep-learning-based motion artifact reduction for photon-counting spectral cardiac CT R Huang, K Larsson… - Medical Imaging 2024 …, 2024 - spiedigitallibrary.org Motion artifacts are among the most important factors degrading the diagnostic performance of x-ray CT images, in particular for photon-counting CT where these artifacts can degrade … Related articles All 2 versions

  110. Multi-material Decomposition (m-MD) Based Spectral Imaging in Photon-Counting CT X Tang, Y Ren, AE Stillman - … X-Ray Radiation Detection: Medical Imaging …, 2022 - Springer Material decomposition and virtual monochromatic imaging are the two major forms of spectral imaging in CT implemented via either energy-integration or photon-counting … Related articles All 3 versions

  111. Segmented targeted least squares estimator for material decomposition in multi bin PCXDs PL Rajbhandary, SS Hsieh… - Medical Imaging 2014 …, 2014 - spiedigitallibrary.org We present a fast, noise-efficient, and accurate estimator for material separation using photon-counting x-ray detectors (PCXDs) with multiple energy bin capability. The proposed … Cited by 4 Related articles All 4 versions

  112. Fast analytical approach of application specific dose efficient spectrum selection for diagnostic CT imaging and PET attenuation correction X Rui, Y Jin, PF FitzGerald, M Wu… - Physics in Medicine …, 2016 - iopscience.iop.org Computed tomography (CT) has been used for a variety of applications, two of which include diagnostic imaging and attenuation correction for PET or SPECT imaging. Ideally, the x-ray … Cited by 3 Related articles All 8 versions

  113. Task based assessment of a motion compensation algorithm via simulation of a moving stenotic vessel BE Nett, JD Pack, D Okerlund - Medical Imaging 2013: Physics …, 2013 - spiedigitallibrary.org An analysis of a task based simulation study of coronary artery imaging via computed tomography (CT). Evaluation of standard filtered backprojection (FBP) reconstruction and … Cited by 4 Related articles All 2 versions

  114. A dynamic simulation framework for CT perfusion in stroke assessment built from first principles SE Divel, S Christensen, WP Segars… - Medical …, 2021 - Wiley Online Library Purpose Physicians utilize cerebral perfusion maps (eg, cerebral blood flow, cerebral blood volume, transit time) to prescribe the plan of care for stroke patients. Variability in scanning … Cited by 1 Related articles All 5 versions

  115. Low-dose 3D quantitative vascular X-ray imaging of the breast P Milioni de Carvalho - 2014 - theses.fr Résumé Contexte: Le cancer du sein est le cancer le plus fréquent et le deuxième cancer le plus mortel chez la femme. Les techniques d'imagerie constituent un élément essentiel pour … Cited by 8 Related articles

  116. A Fourier rebinning algorithm for cone beam CT SR Mazin, NJ Pelc - Medical Imaging 2008: Physics of Medical …, 2008 - spiedigitallibrary.org It is known that x-ray projections collected from a circular orbit of an x-ray source are insufficient for accurate reconstruction of a 3D object. For each local region of the object … Cited by 5 Related articles All 3 versions

  117. Patient specific tube current modulation for CT dose reduction Y Jin, Z Yin, Y Yao, H Wang, M Wu… - … 2015: Physics of …, 2015 - spiedigitallibrary.org Radiation exposure during CT imaging has drawn growing concern from academia, industry as well as the general public. Sinusoidal tube current modulation has been available in most … Cited by 4 Related articles All 3 versions

  118. Improving statistical image reconstruction for cardiac X-ray computed tomography JH Cho - 2014 - search.proquest.com X-ray computed tomography (CT) is one of the most widely used imaging modalities for medical diagnosis. Recent advancements in CT scanner technology have led to increased … Cited by 4 Related articles All 4 versions

  119. Using virtual clinical trials to determine the accuracy of AI-based quantitative imaging biomarkers in oncology trials using standard-of-care CT D Byrd, D Bontempi, H Yang, H Aerts… - Medical Imaging …, 2022 - spiedigitallibrary.org There is a tremendous potential for AI-based quantitative imaging biomarkers to make clinical trials with standardof-care CT more efficient. There is, however, a well-recognized … Related articles All 2 versions

  120. Noise characteristics in low to high kVp domain translation with Deep Regression Network V Singhal, R Langoju, S Abrol… - Medical Imaging …, 2021 - spiedigitallibrary.org In Computed Tomography (CT), problems like low to high dose image conversion, denoising and super-resolution using deep regression network have gained a lot of importance. This … Cited by 1 Related articles All 3 versions

  121. A virtual imaging trial framework to study cardiac CT blooming artifacts Y Fan, J Pack, B De Man - … on Image Formation in X-Ray …, 2022 - spiedigitallibrary.org Cardiac CT is a safe, accurate, non-invasive method widely employed for diagnosis of coronary artery disease (CAD) and planning therapeutic interventions. Even with state-of-the … Related articles All 4 versions

  122. Tomographic image reconstruction via machine learning G Wang, W Cong, Q Yang - 2017 - Google Patents Tomographic/tomosynthetic image reconstruction systems and methods in the framework of machine learning, such as deep learning, are provided. A machine learning algorithm can … Cited by 2 Related articles

  123. Estimating the accuracy and precision of quantitative imaging biomarkers as endpoints for clinical trials using standard-of-care CT P Kinahan, D Byrd, H Yang, H Aerts… - … on Image Formation …, 2022 - spiedigitallibrary.org Quantitative imaging biomarkers (QIBs) hold enormous potential to improve the efficiency of clinical trials that use standard-of-care CT imaging. Examples of QIBs include size, shape … Related articles All 4 versions

  124. Quality-preserving low-cost probabilistic 3D denoising with applications to Computed Tomography I Horenko, L Pospisil, E Vecchi, S Albrecht, A Gerber… - bioRxiv, 2021 - biorxiv.org We propose a pipeline for a synthetic generation of personalized Computer Tomography (CT) images, with a radiation exposure evaluation and a lifetime attributable risk (LAR) … Related articles All 2 versions

  125. 3D analytic cone-beam reconstruction for less than a full scan using a multi-source CT system Z Yin, B De Man - 2007 IEEE Nuclear Science Symposium …, 2007 - ieeexplore.ieee.org In a 3rd generation CT system, a single source projects the entire held of view (FOV) onto a large detector opposite the source. In multi-source CT imaging, a multitude of sources … Cited by 5 Related articles All 3 versions

  126. A 3D study comparing filtered backprojection, weighted least squares, and penalized weighted least squares for CT reconstruction M Iatrou, B De Man, K Khare… - 2007 IEEE Nuclear …, 2007 - ieeexplore.ieee.org We have extended 2D weighted least squares and penalized weighted least squares transmission reconstruction methods (WLSTR and PWLSTR respectively) to 3D to explore … Cited by 5 Related articles All 2 versions

  127. Understanding and controlling the effect of lossy raw data compression on CT images AS Wang, NJ Pelc - Medical physics, 2009 - Wiley Online Library The requirements for raw data transmission through a CT scanner slip ring, through the computation system, and for storage of raw CT data can be quite challenging as scanners … Cited by 4 Related articles All 5 versions

  128. X-ray Dissectography Enables Stereotography to Improve Diagnostic Performance C Niu, G Wang - arXiv preprint arXiv:2111.15040, 2021 - arxiv.org X-ray imaging is the most popular medical imaging technology. While x-ray radiography is rather cost-effective, tissue structures are superimposed along the x-ray paths. On the other … Related articles All 2 versions

  129. Segmentation of x-ray images using deep learning trained on synthetic data M Larsson - 2023 - diva-portal.org Radiograph examinations play a critical role in various applications such as the detection of bone pathologies and lung cancer, despite the challenge of false negatives. The integration … Related articles

  130. Assessing robustness to noise: low-cost head CT triage SM Hooper, JA Dunnmon, MP Lungren… - arXiv preprint arXiv …, 2020 - arxiv.org Automated medical image classification with convolutional neural networks (CNNs) has great potential to impact healthcare, particularly in resource-constrained healthcare systems … Cited by 2 Related articles All 2 versions

  131. Non-Positive Corrections and Variance Models for Iterative Post-Log Reconstruction of Extremely Low-Dose CT Data SM Kim, TC Lee, PE Kinahan - Journal of the Korean Physical Society, 2020 - Springer In extremely low-dose protocols to reduce radiation dose to patients, computed tomography (CT) images suffer from increased bias and low signal-to-noise ratio in measurements. In … Cited by 1 Related articles All 3 versions

  132. XAP-Lab: A software tool for designing flexible X-ray acquisition protocols A Martínez, A García-Santos, N Ballesteros… - Computer Methods and …, 2019 - Elsevier Background and objective The availability of digital X-ray detectors, together with the development of new robotized hardware and reconstruction algorithms, opens the … Cited by 1 Related articles All 7 versions

  133. CT metal artifact reduction with machine learning and photon-counting techniques LA Gjesteby - 2018 - search.proquest.com X-ray computed tomography (CT) is a mainstay in medical imaging, playing major roles in disease diagnosis, injury evaluation, treatment planning, and response assessment. Metal … Cited by 2 Related articles All 2 versions

  134. IMPROVED IMAGE QUALITY IN CONE-BEAM COMPUTED TOMOGRAPHY FOR IMAGE-GUIDED INTERVENTIONS P Wu - 2022 - jscholarship.library.jhu.edu In the past few decades, cone-beam computed tomography (CBCT) emerged as a rapidly developing imaging modality that provides single rotation 3D volumetric reconstruction with … Related articles All 3 versions

  135. Statistical distributions of ultra-low dose CT sinograms and their fundamental limits TC Lee, R Zhang, AM Alessio, L Fu… - … 2017: Physics of …, 2017 - spiedigitallibrary.org Low dose CT imaging is typically constrained to be diagnostic. However, there are applications for even lowerdose CT imaging, including image registration across multi-frame … Cited by 2 Related articles All 3 versions

  136. CT dose minimization using personalized protocol optimization and aggressive bowtie H Wang, Z Yin, Y Jin, M Wu, Y Yao… - … 2016: Physics of …, 2016 - spiedigitallibrary.org In this study, we propose to use patient-specific x-ray fluence control to reduce the radiation dose to sensitive organs while still achieving the desired image quality (IQ) in the region of … Cited by 2 Related articles All 3 versions

  137. A new series expansion method and its application to photon-counting CT reconstruction MU Persson, L Fu, PM Edic… - Medical Imaging 2020 …, 2020 - spiedigitallibrary.org The introduction of photon-counting detectors in x-ray computed tomography raises the question of how reconstruction algorithms should be adapted to photon-counting … Cited by 1 Related articles All 4 versions

  138. Feasibility study on ultra-low dose 3D scout of organ based CT scan planning Z Yin, Y Yao, A Montillo, PM Edic… - … Conference on Image …, 2014 - ncbi.nlm.nih.gov Abstract 3D volumetric CT images hold the potential to become a rich source of information for 3D organ segmentation and far exceed that made available through 2D radiograph … Cited by 2 Related articles All 4 versions

  139. A biomechanical breast model for the evaluation of the compression and the discomfort perception in mammography. A Mira - 2018 - theses.hal.science Background: Mammography is a specific type of breast imaging that uses low-dose X-rays to detect breast cancer at early stage. During the exam, the women breast is compressed … Cited by 1 Related articles All 6 versions

  140. Effect of the frequency content and spatial location of raw data errors on CT images AS Wang, Y Xie, NJ Pelc - Medical Imaging 2008: Physics of …, 2008 - spiedigitallibrary.org As CT scanners continue to increase in speed and to collect more data per rotation, transmitting raw data across the slip ring and storing raw data can be very challenging … Cited by 3 Related articles All 4 versions

  141. Validation of compound Poisson noise model for computed tomography with energy-integrating detector AA Zamyatin, Y Fan, K Schultz… - 2012 IEEE Nuclear …, 2012 - ieeexplore.ieee.org These instructions provide guidelines for preparing manuscripts for submission to the Conference Record (CR) of the 2012 IEEE Nuclear Science Symposium and Medical … Cited by 2 Related articles All 2 versions

  142. Lossy raw data compression in computed tomography with noise shaping to control image effects Y Xie, AS Wang, NJ Pelc - Medical Imaging 2008: Physics of …, 2008 - spiedigitallibrary.org The data rate requirements for raw data transmission through the slip ring of a CT scanner can be quite challenging. While lossy compression can offer a significant reduction in data … Cited by 3 Related articles All 4 versions

  143. High-resolution CT reconstruction from Zoom-In Partial Scans (ZIPS) with simultaneous estimation of inter-scan ROI motion E Haneda, B De Man, B Claus… - Medical Imaging 2022 …, 2022 - spiedigitallibrary.org The Zoom-In Partial Scans (ZIPS) method is a recently introduced high-resolution CT technique that utilizes the high geometric magnification in off-center regions in the CT … Related articles All 3 versions

  144. Deep learning-based artifact detection for diagnostic CT images P Prakash, S Dutta - Medical Imaging 2019: Physics of …, 2019 - spiedigitallibrary.org Calibrated detector response is crucial to good image quality in diagnostic CT and imaging systems in general. Defects during manufacturing, component failures and system aging can … Cited by 2 Related articles All 3 versions

  145. Simulations and virtual clinical trials for the assessment of the added clinical value of angio-tomosynthesis over angio-mammography R Sanchez de la Rosa - 2019 - theses.fr Breast cancer is the most common type of cancer developed by women all over the world, as well as the second cause of death by cancer in developed countries and first cause in … Cited by 1 Related articles

  146. Comparison of lesion extent and contrast-agent uptake in breast tomosynthesis versus cone-beam breast CT PM de Carvalho, AK Carton, R Iordache… - Breast Imaging: 11th …, 2012 - Springer This study compares the quantitative potential of cone-beam dedicated breast CT (bCT) and digital breast tomosynthesis (DBT) for contrastenhanced (CE) imaging in the assessment of … Cited by 2 Related articles All 4 versions

  147. Improving Image Reconstruction for Digital Breast Tomosynthesis J Zheng - 2017 - deepblue.lib.umich.edu Digital breast tomosynthesis (DBT) has been developed to reduce the issue of overlapping tissue in conventional 2-D mammography for breast cancer screening and diagnosis. In the … Cited by 1 Related articles

  148. Deep Convolutional Neural Network with Adversarial Training for Denoising Digital Breast Tomosynthesis Images Supplementary Materials M Gao, JA Fessler, HP Chan - eecs.umich.edu We designed the network structure of the denoiser based on the DnCNN [1]. The original DnCNN structure consisted of 17 to 20 convolutional layers, each included 64 filters of 3× 3 … Related articles

  149. Individualised calculation of tissue imparted energy in breast tomosynthesis N Geeraert, R Klausz, S Muller, I Bloch… - Radiation Protection …, 2016 - academic.oup.com The imparted energy to the glandular tissue in the breast (glandular imparted energy, GIE) is proposed for an improved assessment of the individual radiation-induced risk resulting from … Cited by 1 Related articles All 8 versions

  150. The Validation and Optimization of CT Perfusion for Stroke Assessment SE Divel - 2020 - search.proquest.com Abstract Each year, approximately 800,000 people in the United States have a stroke. Early diagnosis and tailored treatment are critical for optimal patient outcomes. Physicians utilize … Related articles

  151. Statistical CT noise reduction with multi-scale decomposition and penalized weighted least square for incomplete projection data S Tang, X Tang - Medical Imaging 2013: Physics of Medical …, 2013 - spiedigitallibrary.org Tremendous efforts have been devoted to decreasing x-ray radiation dose in diagnostic CT while maintaining the image quality. The statistical noise reduction with iterative algorithm in … Cited by 1 Related articles All 3 versions

  152. Hybrid-model for computed tomography simulations and post-patient collimator design H Xu, K Tao, GK Padmashree, M Wu… - … 2014: Physics of …, 2014 - spiedigitallibrary.org Ray-tracing based simulation methods are widely used in modeling X-ray propagation, detection and imaging. While most of the existing simulation methods rely on analytical … Cited by 1 Related articles All 3 versions

  153. Optimisation de l'angiomammographie et de l'angiotomosynthèse double-énergie C Dromain - 2015 - theses.hal.science Objectifs: L'objectif a été de d'optimiser les protocoles d'acquisition des examens d' angiomammographie double-énergie, d'étudier la faisabilité de l'angiotomosynthèse pour la … Cited by 3 Related articles All 6 versions

  154. Improving proton therapy planning with photon-counting spectral computed tomography K Larsson - 2023 - diva-portal.org Proton radiation therapy is an alternative to conventional photon radiation therapy, which accounts for the majority of radiation treatments today. The rationale for using protons in … Related articles

  155. Using one test bolus to monitor bolus arriving at two locations in CT angiography runoff scans: a feasibility simulation study H Ma, M Wu, C Hammond… - Medical Imaging 2019 …, 2019 - spiedigitallibrary.org This study proposes a method of using one test bolus to monitor peak bolus arrival time at two locations, the aorta and the knee, in CT angiography lower-extremity runoff scans. The … Related articles All 3 versions

  156. Upper-Bound on Dose Reduction in CT Reconstruction for Nodule Detection S HSIEH, N PELC - scholar.archive.org The success of X-ray computed tomography (CT) as a widespread medical diagnosis tool has led to concerns about possible harm due to the increased average radiation dose to the … Related articles

  157. Development and Application of Realistic Anatomical and Imaging Models for Virtual Clinical Trials in Computed Tomography E Abadi - 2018 - search.proquest.com The purpose of this dissertation was to develop comprehensive toolsets for performing quality based virtual clinical trials in computed tomography. The developed toolsets in this … Related articles All 3 versions

  158. Optimisation of low dose computed tomography protocol for diagnostics of developmental dysplasia of the hip using a phantom based noise simulation … M Astrauskas - 2017 - epubl.ktu.edu Abstract [eng] There is a number of different diagnostic imaging modalities used for diagnostics and postoperative control of developmental dysplasia of the hip (DDH). One of … Save Cite Related articles All 2 versions

  159. Ultra-low-dose CT-based attenuation correction for respiratory motion compensation in PET/CT imaging TC Lee - 2017 - digital.lib.washington.edu Positron emission tomography (PET) is a commonly used imaging tool in the management of patients with lung cancer and is of considerable interest in quantitative imaging of the … Related articles

  160. Modèle biomécanique du sein pour l'évaluation de la compression et de la perception d'inconfort en mammographie A Mira - 2018 - theses.fr Résumé Contexte: La mammographie est une modalité d'imagerie médicale à faible dose permettant la détection du cancer mammaire à un stade précoce. Lors de l'examen, le sein … Cited by 1 Related articles All 3 versions

  161. Validation of simulation tool for C-arm X-ray systems: Source and scatter model M Jurcova - 2016 - diva-portal.org Continuous improvement of image quality is one of the priorities in medical imaging. Therefore, development of a simulation tool allowing to generate realistic images would be … Related articles

  162. Personalized low dose CT via variable kVp H Wang, Y Jin, Y Yao, M Wu, M Yan… - … 2015: Physics of …, 2015 - spiedigitallibrary.org Computerized Tomography (CT) is a powerful radiographic imaging technology but the health risk due to the exposure of x-ray radiation has drawn wide concern. In this study, we … Related articles All 3 versions

  163. Physics-based modeling of X-ray CT measurements with energy-integrating detectors Y Long, H Gao, M Wu, JD Pack, H Xu… - … 2014: Physics of …, 2014 - spiedigitallibrary.org Computer simulation tools for X-ray CT are important for research efforts in developing reconstructionmethods, designing new CT architectures, and improving X-ray source and … Related articles All 2 versions

  164. Dose, noise and view weights in CT helical scans G Cao, E Chino, R Nilsen… - Medical Imaging 2014 …, 2014 - spiedigitallibrary.org The amount of X-ray dose expresses itself as the noise level in image volume after reconstruction in clinical CT scans. It is important to understand the interaction between the … Related articles All 3 versions

  165. Three dimensional image guided extrapolation for cone-beam CT image reconstruction B Nett - Medical Imaging 2014: Physics of Medical Imaging, 2014 - spiedigitallibrary.org In cone-beam CT the range of projection views measured for each given image voxel is spatially variant. In the corners of the image volume there is less projection data available to … Related articles All 3 versions

  166. Liver imaging: image quality evaluation and comparison between single and dual energy protocols Y Yao, AJ Megibow, NJ Pelc - Medical Imaging 2013: Physics …, 2013 - spiedigitallibrary.org Purpose: Some qualitative studies report a preference for blended dual-energy (DE) CT images over single energy (SE) images for liver CT imaging at the same dose. This is … Related articles All 3 versions

  167. Reduction of CT dose for CT-based PET attenuation correction T Xia - 2013 - digital.lib.washington.edu One important goal of quantitative imaging using positron emission tomography (PET) combined with X-ray computed tomography (CT) is to accurately measure a tumor's … Related articles

  168. System and image modeling in statistical iterative reconstruction for multi-slice CT J Wang - 2012 - search.proquest.com SYSTEM AND IMAGE MODELING IN STATISTICAL ITERATIVE RECONSTRUCTION FOR MULTI-SLICE CT A Dissertation Submitted to the Graduate Sc Page 1 SYSTEM AND IMAGE … Related articles

  169. Maximizing the Information Content of Dual Energy X-Ray and CT Imaging AS Wang - 2012 - search.proquest.com Computed tomography (CT) has become an essential tool in modern medicine since its introduction in the early 1970s. It generates cross-sectional images of the body's x-ray … Related articles

  170. Regularized Statistical Material Decomposition in Medical Imaging WS Huh - 2011 - search.proquest.com In viewing underlying pathology with medical imaging, often specific material components contain most of the diagnostic information. Therefore, material component separation is … Related articles All 3 versions

  171. Raw Data Compression in Computed Tomography: Noise Shaping Y Xie - 2007 - isye.gatech.edu 1.1 Background X-ray computed tomography (CT) builds on the physical principles of radiography. It uses multiple views of an external x-ray source and images x-ray attenuation … Related articles All 4 versions

  172. Simulations et essais cliniques virtuels pour l'évaluation de la valeur clinique de l'angio-tomosynthèse par rapport à l'angio-mammographie RS de La Rosa - 2019 - pastel.hal.science Contrast Enhanced Spectral Mammography (CESM) and Contrast Enhanced Digital Breast Tomosynthesis (CEDBT) sont des techniques d'imagerie par rayons X à double énergie … Related articles All 4 versions

  173. [CITATION] Deep neural network for CT metal artifact reduction with a perceptual loss function L Gjesteby, H Shan, Q Yang, Y Xi, B Claus, Y Jin… - … on image formation in X-ray …, 2018 Cited by 41 Related articles

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  175. Evaluation quantitative de tissu fibroglandulaire pour l'estimation de l'énergie absorbée différenciée par tissu en tomosynthèse du sein N Geeraert - 2014 - theses.fr Résumé Cette thèse avait deux buts principaux: a) l'implémentation et l'amélioration d'une méthode de calcul de densité volumique du sein (VBD), et b) la proposition d'une mesure … Related articles

  176. Optimized Intensity Modulation for Dose/Noise Reduction in X-ray Computed Tomography JI Sperl - 2011 - mediatum.ub.tum.de X-ray computed tomography (CT) is a imaging modality for high-resolution visualization of the human anatomy. Its drawback is the increased health risk due to the ionizing radiation … Related articles All 4 versions

  177. [CITATION] Detector Blur and Correlated Noise Modeling for Digital Breast Tomosynthesis Reconstruction Supplementary Material J Zheng, JA Fessler, HP Chan Related articles

  178. [CITATION] OpenRecon Reference Manual KS Sharma, X Jin, Z Chen, L Li, H Yu, G Wang Related articles

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