MRI-based treatment planning for proton radiotherapy: dosimetric validation of a deep learning-based liver synthetic CT generation method-Reference-Cited by-同舟云学术

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MRI-based treatment planning for proton radiotherapy: dosimetric validation of a deep learning-based liver synthetic CT generation method

Published:2019-07-16 Issue:14 Volume:64 Page:145015
ISSN:1361-6560
Container-title:Physics in Medicine & Biology
language:
Short-container-title:Phys. Med. Biol.

Author:

Liu Yingzi,Lei Yang,Wang Yinan,Wang Tonghe,Ren Lei,Lin Liyong,McDonald Mark,Curran Walter J,Liu Tian,Zhou Jun,Yang Xiaofeng

Funder

Emory Winship Cancer Institute pilot grant

NIH Clinical Center

Publisher

IOP Publishing

Subject

Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Link

http://iopscience.iop.org/article/10.1088/1361-6560/ab25bc/pdf

Reference53 articles.

1. Characterization, prediction, and correction of geometric distortion in 3T MR images

2. Synthetic CT for MRI-based liver stereotactic body radiotherapy treatment planning

3. Feasibility and limitations of bulk density assignment in MRI for head and neck IMRT treatment planning

4. Evaluation of a multimodality image (CT, MRI and PET) coregistration procedure on phantom and head and neck cancer patients: accuracy, reproducibility and consistency

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