Quality assurance assessment of diagnostic and radiation therapy-simulation CT image registration for head and neck radiation therapy: Anatomic region of interest-based comparison of rigid and deformable algorithms

© RSNA, 2014. Purpose: To develop a quality assurance (QA) workflow by using a robust, curated, manually segmented anatomic region-of-interest (ROI) library as a benchmark for quantitative assessment of different image registration techniques used for head and neck radiation therapy-simulation compu...

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Bibliographic Details
Main Authors: Abdallah S.R. Mohamed, Manee Naad Ruangskul, Musaddiq J. Awan, Charles A. Baron, Jayashree Kalpathy-Cramer, Richard Castillo, Edward Castillo, Thomas M. Guerrero, Esengul Kocak-Uzel, Jinzhong Yang, Laurence E. Court, Michael E. Kantor, G. Brandon Gunn, Rivka R. Colen, Steven J. Frank, Adam S. Garden, David I. Rosenthal, Clifton D. Fuller
Other Authors: University of Texas MD Anderson Cancer Center
Format: Article
Published: 2018
Subjects:
Online Access:https://repository.li.mahidol.ac.th/handle/123456789/36504
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Institution: Mahidol University