Deep learning–based 4D‐synthetic CTs from sparse‐view CBCTs for dose calculations in adaptive proton therapy-Reference-Cited by-同舟云学术

Deep learning–based 4D‐synthetic CTs from sparse‐view CBCTs for dose calculations in adaptive proton therapy

Published:2022-08-27 Issue:11 Volume:49 Page:6824-6839
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Medical Physics

Author:

Thummerer Adrian¹^ORCID,Seller Oria Carmen¹^ORCID,Zaffino Paolo²,Visser Sabine¹^ORCID,Meijers Arturs¹³,Guterres Marmitt Gabriel¹,Wijsman Robin¹,Seco Joao⁴⁵,Langendijk Johannes Albertus¹,Knopf Antje Christin¹⁶,Spadea Maria Francesca²,Both Stefan¹

Affiliation:

1. Department of Radiation Oncology University Medical Center Groningen University of Groningen Groningen The Netherlands

2. Department of Experimental and Clinical Medicine Magna Graecia University Catanzaro Italy

3. Center for Proton Therapy Paul Scherrer Institute Villigen Switzerland

4. Department of Biomedical Physics in Radiation Oncology Deutsches Krebsforschungszentrum (DKFZ) Heidelberg Germany

5. Department of Physics and Astronomy Heidelberg University Heidelberg Germany

6. Department I of Internal Medicine Center for Integrated Oncology Cologne, University Hospital of Cologne Cologne Germany

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.15930

Reference51 articles.

1. Online Adaptive Radiation Therapy

2. Adaptive Radiotherapy for Anatomical Changes

3. Online daily adaptive proton therapy

4. Current state and future applications of radiological image guidance for particle therapy

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