Open AccessQuality 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
Author(s) -
Abdallah S.R. Mohamed,
Manee Naad Ruangskul,
Musaddiq J. Awan,
Charles A. Baron,
Jayashree Kalpathy–Cramer,
Richard Castillo,
Edward Castillo,
Thomas Guerrero,
Esengul Kocak–Uzel,
Jinzhong Yang,
Laurence E. Court,
Michael Kantor,
G. Brandon Gunn,
Rivka R. Colen,
Steven J. Frank,
Adam S. Garden,
David I. Rosenthal,
Clifton D. Fuller
Publication year - 2015
Publication title -
radiology
Language(s) - English
Resource type - Journals
eISSN - 1527-1315
pISSN - 0033-8419
DOI - 10.1148/radiol.14132871
Subject(s) - medicine , image registration , artificial intelligence , wilcoxon signed rank test , hausdorff distance , region of interest , radiation therapy , sørensen–dice coefficient , image quality , nuclear medicine , quality assurance , algorithm , computer vision , radiology , computer science , image segmentation , segmentation , image (mathematics) , mann–whitney u test , pathology , external quality assessment
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 computed tomography (CT) with diagnostic CT coregistration.