Zobrazeno 1 - 10
of 147
pro vyhledávání: '"W. Paul . Segars"'
Publikováno v:
Chest. 163:1084-1100
Publikováno v:
Med Phys
PURPOSE: The gold-standard method for estimation of patient-specific organ doses in digital tomosynthesis (DT) requires protocol-specific Monte Carlo (MC) simulations of radiation transport in anatomically accurate computational phantoms. Although ac
Autor:
Ehsan Abadi, Cindy McCabe, Brian Harrawood, Saman Sotoudeh-Paima, W. Paul . Segars, Ehsan Samei
Publikováno v:
Proc SPIE Int Soc Opt Eng
The purpose of this study was to develop a virtual imaging framework that simulates a new photon-counting CT (PCCT) system (NAEOTOM Alpha, Siemens). The PCCT simulator was built upon the DukeSim platform, which generates projection images of computat
Autor:
Mingye Wu, Paul FitzGerald, Jiayong Zhang, W Paul Segars, Hengyong Yu, Yongshun Xu, Bruno De Man
Publikováno v:
Physics in medicine and biology. 67(19)
Objective. X-ray-based imaging modalities including mammography and computed tomography (CT) are widely used in cancer screening, diagnosis, staging, treatment planning, and therapy response monitoring. Over the past few decades, improvements to thes
Publikováno v:
Medical physics. 49(8)
We aim at developing a model-based algorithm that compensates for the effect of both pulse pileup (PP) and charge sharing (CS) and evaluates the performance using computer simulations.The proposed PCP algorithm for PP and CS compensation uses cascade
Publikováno v:
Chest.
CT has notable potential to quantify the severity and progression of patients with emphysema. Such quantification should ideally reflect the true attributes and pathologies of subjects, not scanner parameters. To achieve such an objective, the effect
Publikováno v:
Medical Imaging 2022: Physics of Medical Imaging.
Autor:
Lavsen Dahal, Fakrul Islam Tushar, Ehsan Abadi, Rafael B. Fricks, Maciej A. Mazurowski, W. Paul Segars, Ehsan Samei, Joseph Y. Lo
Publikováno v:
Medical Imaging 2022: Physics of Medical Imaging.
Publikováno v:
Proc SPIE Int Soc Opt Eng
Chronic obstructive pulmonary disease (COPD) is a chronic inflammatory lung disease and a major cause of death and disability worldwide. Quantitative CT is a powerful tool to better understand the heterogeneity and severity of this disease. Quantitat
Publikováno v:
Medical Imaging 2022: Physics of Medical Imaging.