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Fast shading correction for cone beam CT in radiation therapy via sparse sampling on planning CT
Author(s) -
Shi Linxi,
Tsui Tiffany,
Wei Jikun,
Zhu Lei
Publication year - 2017
Publication title -
medical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.473
H-Index - 180
eISSN - 2473-4209
pISSN - 0094-2405
DOI - 10.1002/mp.12190
Subject(s) - imaging phantom , truebeam , shading , computer science , computer vision , cone beam computed tomography , artificial intelligence , radiation treatment planning , image quality , medical imaging , image guided radiation therapy , nuclear medicine , radiation therapy , image (mathematics) , medicine , radiology , beam (structure) , computed tomography , optics , computer graphics (images) , linear particle accelerator , physics
The image quality of cone beam computed tomography (CBCT) is limited by severe shading artifacts, hindering its quantitative applications in radiation therapy. In this work, we propose an image-domain shading correction method using planning CT (pCT) as prior information which is highly adaptive to clinical environment.