Authors: Emi Ai Eastman, Christina Lee, Xinhua Li, Alexander W. Scott, Yifang (Jimmy) Zhou
Affiliation: Cedars-Sinai Medical Center
Abstract Preview: Purpose: Iterative reconstruction (IR) methods are valuable for reducing dose in modern CT; however, IR methods have the effect of reducing spatial resolution and hence the lesion edge sharpness. Furt...
Authors: Li Tong, Chuyan Wang, Zhengkui Wang, Yingli Yang, Jie Zhang
Affiliation: Shanghai United imaging Healthcare Advanced Technology Research Institute, Shanghai United Imaging Healthcare Co., LTD, Department of Radiology, Ruijin Hospital, Institute for Medical Imaging Technology, Ruijin Hospital
Abstract Preview: Purpose:
Pelvic radiotherapy (RT)-induced bone marrow (BM) damage affects patient prognosis by causing hematologic toxicity. However, consensus on BM-sparing (BMS) RT is still lacking, owing to the...
Authors: Salman M. Arnab, Yves Chevalier, Samuel Gagné, Adrian F. Howansky, Luc Laperrière, Xiangyi Wu, Wei Zhao
Affiliation: Stony Brook Medicine, Analogic Canada
Abstract Preview: Purpose: A direct-indirect dual-layer flat-panel-detector (DI-DLFPD) is under development for patient motion artifact-free contrast-enhanced digital mammography (CEDM). DI-DLFPD comprises a direct fro...
Authors: Samuel L. Brady, Kevin Chen, Joseph G. Meier
Affiliation: University of Cincinnati, Cincinnati Childrens Hospital Med Ctr
Abstract Preview: Purpose: Conebeam-CT (CBCT) acquisition protocols typically do not distinguish between adults and pediatrics. In collaboration with a fluoroscopically-guided interventional (FGI) manufacturer, new, do...
Authors: Naruomi Akino, Kirsten Lee Boedeker, Ilmar Hein, Dylan Mather, Akira Nishikori, Daniel W Shin
Affiliation: Canon Medical Systems Corporation, Canon Medical Research USA
Abstract Preview: Purpose: To validate the performance a deep learning reconstruction (DLR) algorithm in an anatomical background compared to a uniform phantom background.
Methods: An analytic forward projection mod...
Authors: Saree Alnaghy, Owen Thomas Dillon, Sean P Hood, Paul J. Keall, Ricky O'Brien, Tess Reynolds
Affiliation: Image X Institute, Faculty of Medicine and Health, The University of Sydney, University of Wollongong, Medical Radiations, School of Health and Biomedical Sciences, RMIT University
Abstract Preview: Purpose: Photon Counting Detectors (PCDs) have been demonstrated to improve resolution, contrast and lesion detectability in fan-beam CT. There is naturally a desire to bring these improvements to Con...
Authors: Ahad Ollah Ezzati, Xiaoyu Hu, Xun Jia, Youfang Lai, Kai Yang, Yuncheng Zhong
Affiliation: Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Massachusetts General Hospital, Johns Hopkins University
Abstract Preview: Purpose: Gantry motion and patient breathing during a breast cone beam CT (bCBCT) scan is one of the major challenges for microcalcification (μCalcs) detection. By deploying a large number of individu...
Authors: Jeffrey S. Nelson, Raj Kumar Panta, Megan K. Russ, Ehsan Samei
Affiliation: Clinical Imaging Physics Group, Department of Radiology, Duke University Health System
Abstract Preview: Purpose: Contrast-enhanced mammography (CEM) enhances tumor detection by utilizing energy-dependent information from iodinated contrast agents. However, there is a lack of quantitative techniques to a...
Authors: Alex Lindgren-Ruby, Jeffrey M. Moirano, Joseph Everett Wishart
Affiliation: University of Washington
Abstract Preview: Purpose:
To evaluate polynomial fitting of signal intensity for signal-to-noise ratio (SNR) estimation from weekly QC ACR MRI phantom images and compare against other SNR estimation methods as well...
Authors: Jennifer Kwak, Chelsea Manica, Justin K. Mikell, Michael Silosky, Wendy Siman
Affiliation: Washington University School of Medicine in St. Louis, University of Colorado Anschutz Medical Campus, School of Medicine, Rocky Vista University
Abstract Preview: Purpose:
This study evaluates synthetic planar imaging (synP) from SPECT projections against conventional planar imaging, focusing on detectability, spatial resolution, and feasibility. SynP allows...
Authors: Naruomi Akino, Kirsten Lee Boedeker, Ilmar Hein, Akira Nishikori, Daniel W Shin
Affiliation: Canon Medical Systems Corporation, Canon Medical Research USA
Abstract Preview: Purpose: To validate a simulation tool using physics-based image quality metrics in both phantom and patient data, and to assess the low contrast detectability (LCD) of Super Resolution-Deep Learning ...