A Patient-Specific Autosegmentation Strategy Using Multi-Input Deformable Image Registration for Magnetic Resonance Imaging–Guided Online Adaptive Radiation Therapy: A Feasibility Study

A Patient-Specific Autosegmentation Strategy Using Multi-Input Deformable Image Registration for Magnetic Resonance Imaging–Guided Online Adaptive Radiation Therapy: A Feasibility Study

Purpose: Magnetic resonance-guided online adaptive radiation therapy (MRgOART) requires accurate and efficient segmentation. However, the performance of current autosegmentation tools is generally poor for magnetic resonance imaging (MRI) owing to day-to-day variations in image intensity and patient...

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Bibliographic Details
Main Authors: Ying Zhang, PhD, Eric Paulson, PhD, Sara Lim, PhD, William A. Hall, MD, Ergun Ahunbay, PhD, Nikolai J. Mickevicius, PhD, Michael W. Straza, MD, Beth Erickson, MD, X. Allen Li, PhD
Format: Article
Language:English
Published: Elsevier 2020-11-01
Series:Advances in Radiation Oncology
Online Access:http://www.sciencedirect.com/science/article/pii/S2452109420302761

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http://www.sciencedirect.com/science/article/pii/S2452109420302761

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