Evaluation of a deep learning magnetic resonance imaging reconstruction method for synthetic computed tomography generation in prostate radiotherapy

Evaluation of a deep learning magnetic resonance imaging reconstruction method for synthetic computed tomography generation in prostate radiotherapy

Background and Purpose: In magnetic resonance imaging (MRI) only radiotherapy computed tomography (CT) is excluded. The method relies entirely on synthetic CT images generated from MRI. This study evaluates the compatibility of a commercial synthetic CT (sCT) with an accelerated commercial deep lear...

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Bibliographic Details
Main Authors: Lars E. Olsson, Sacha af Wetterstedt, Jonas Scherman, Adalsteinn Gunnlaugsson, Emilia Persson, Christian Jamtheim Gustafsson
Format: Article
Language:English
Published: Elsevier 2024-01-01
Series:Physics and Imaging in Radiation Oncology
Subjects:
Synthetic CT
Radiotherapy
Prostate cancer
MRI
Deep learning reconstruction
Online Access:http://www.sciencedirect.com/science/article/pii/S2405631624000277

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http://www.sciencedirect.com/science/article/pii/S2405631624000277

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