A method of rapid quantification of patient‐specific organ doses for CT using deep‐learning‐based multi‐organ segmentation and GPU‐accelerated Monte Carlo dose computing-Reference-Cited by-同舟云学术

A method of rapid quantification of patient‐specific organ doses for CT using deep‐learning‐based multi‐organ segmentation and GPU‐accelerated Monte Carlo dose computing

Published:2020-04-03 Issue:6 Volume:47 Page:2526-2536
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Med. Phys.

Author:

Peng Zhao¹,Fang Xi²,Yan Pingkun²,Shan Hongming²,Liu Tianyu³,Pei Xi¹⁴,Wang Ge²,Liu Bob⁵,Kalra Mannudeep K.⁵,Xu X. George²³

Affiliation:

1. Department of Engineering and Applied Physics University of Science and Technology of China Hefei Anhui 230026China

2. Department of Biomedical Engineering Rensselaer Polytechnic Institute Troy NY 12180USA

3. Department of Mechanical Aerospace and Nuclear Engineering Rensselaer Polytechnic Institute Troy NY 12180USA

4. Anhui Wisdom Technology Company Limited Hefei Anhui 238000China

5. Department of Radiology Massachusetts General Hospital Boston MA 02114USA

Funder

University of Science and Technology of China

American Association of Physicists in Medicine

National Natural Science Foundation of China

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.14131

Reference57 articles.

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4. IMV Medical Information Division Inc.IMV Benchmark Report for CT;2018.

5. A method for describing the doses delivered by transmission x-ray computed tomography

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