A database of 40 patient‐based computational models for benchmarking organ dose estimates in CT-Reference-Cited by-同舟云学术

A database of 40 patient‐based computational models for benchmarking organ dose estimates in CT

Published:2020-07-19 Issue:12 Volume:47 Page:6562-6566
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Med. Phys.

Author:

Samei Ehsan¹,Ria Francesco²,Tian Xiaoyu³,Segars Paul W.³

Affiliation:

1. Carl E. Ravin Advanced Imaging Labs Clinical Imaging Physics Group Medical Physics Graduate Program Departments of Radiology Physics, Biomedical Engineering, and Electrical and Computer Engineering Duke University 2424 Erwin Road, Suite 302 Durham NC27710USA

2. Carl E. Ravin Advanced Imaging Labs and Clinical Imaging Physics Group Duke University Health System 2424 Erwin Road, Suite 302 Durham NC27710USA

3. Carl E. Ravin Advanced Imaging Labs 2424 Erwin Road, Suite 302 Durham NC27710USA

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.14373

Reference25 articles.

1. The feasibility of patient size-corrected, scanner-independent organ dose estimates for abdominal CT exams

2. The UF/NCI family of hybrid computational phantoms representing the current US population of male and female children, adolescents, and adults—application to CT dosimetry

3. Extension of RPI-adult male and female computational phantoms to obese patients and a Monte Carlo study of the effect on CT imaging dose