Fast shading correction for cone beam CT in radiation therapy via sparse sampling on planning CT-Reference-Cited by-同舟云学术

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Fast shading correction for cone beam CT in radiation therapy via sparse sampling on planning CT

Published:2017-04-17 Issue:5 Volume:44 Page:1796-1808
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Med. Phys.

Author:

Shi Linxi¹,Tsui Tiffany²³,Wei Jikun²³,Zhu Lei¹⁴

Affiliation:

1. Nuclear and Radiological Engineering and Medical Physics Programs; The George W. Woodruff School of Mechanical Engineering; Georgia Institute of Technology; Atlanta GA 30332 USA

2. Landauer Medical Physics; 2 Science Road Glenwood IL 60425 USA

3. Department of Radiation Oncology; Cancer Treatment Centers of America - Southeastern Regional Medical Center; 600 Celebrate Life Parkway Newnan GA 30265 USA

4. Department of Modern Physics; School of Physical Sciences; University of Science and Technology of China; Hefei China

Funder

National Institutes of Health

Ministry of Science and Technology of China Key Research and Development Projects

National Natural Science Foundation of China

Publisher

Wiley

Subject

General Medicine

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/mp.12190/fullpdf

Reference40 articles.

1. Cone-beam-CT guided radiation therapy: Technical implementation;Letourneau;Radiother Oncol,2005

2. Flat-panel cone-beam computed tomography for image-guided radiation therapy;Jaffray;Int J Radiat Oncol Biol Phys,2002

3. Cone-beam computed tomography with a flat-panel imager: Magnitude and effects of x-ray scatter;Siewerdsen;Med Phys,2001

4. Overview of X-ray scatter in cone-beam computed tomography and its correction methods;Niu;Curr Med Imaging Rev,2010

5. A general framework and review of scatter correction methods in x-ray cone-beam computerized tomography. Part 1: Scatter compensation approaches;Ruhrnschopf;Med Phys,2011

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2. Evaluation of a novel CBCT conversion method implemented in a treatment planning system;Radiation Oncology;2023-11-16

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4. Synthetic CT generation from CBCT using double-chain-CycleGAN;Computers in Biology and Medicine;2023-07

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