ScatterNet for projection-based 4D cone-beam computed tomography intensity correction of lung cancer patients

ScatterNet for projection-based 4D cone-beam computed tomography intensity correction of lung cancer patients

Background and purpose:In radiotherapy, dose calculations based on 4D cone beam CTs (4DCBCTs) require image intensity corrections. This retrospective study compared the dose calculation accuracy of a deep learning, projection-based scatter correction workflow (ScatterNet), to slower workflows: conve...

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Bibliographic Details
Main Authors:	Henning Schmitz, Adrian Thummerer, Maria Kawula, Elia Lombardo, Katia Parodi, Claus Belka, Florian Kamp, Christopher Kurz, Guillaume Landry
Format:	Article
Language:	English
Published:	Elsevier 2023-07-01
Series:	Physics and Imaging in Radiation Oncology
Subjects:	Proton therapy 4DCBCT Projection-based Deep learning Lung cancer Scatter correction
Online Access:	http://www.sciencedirect.com/science/article/pii/S2405631623000738

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