Comparative study of algorithms for synthetic CT generation from MRI : Consequences for MRI ‐guided radiation planning in the pelvic region-Reference-Cited by-同舟云学术

Comparative study of algorithms for synthetic CT generation from MRI : Consequences for MRI ‐guided radiation planning in the pelvic region

Published:2018-10-10 Issue:11 Volume:45 Page:5218-5233
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Med. Phys.

Author:

Arabi Hossein¹,Dowling Jason A.²,Burgos Ninon³,Han Xiao⁴,Greer Peter B.⁵⁶,Koutsouvelis Nikolaos⁷,Zaidi Habib¹⁸⁹¹⁰

Affiliation:

1. Division of Nuclear Medicine and Molecular Imaging Geneva University Hospital Geneva CH‐1211 Switzerland

2. CSIRO Australian e‐Health Research Centre Herston QLD Australia

3. Inria Paris Aramis Project‐Team Institut du Cerveau et de la Moelle épinière ICM Inserm U 1127 CNRS UMR 7225 Sorbonne Université Paris F‐75013 France

4. Elekta Inc. Maryland Heights MO 63043 USA

5. Calvary Mater Newcastle Hospital Waratah NSWAustralia

6. University of Newcastle Callaghan NSWAustralia

7. Division of Radiation Oncology Geneva University Hospital Geneva CH‐1211 Switzerland

8. Geneva University Neurocenter University of Geneva Geneva 1205 Switzerland

9. Department of Nuclear Medicine and Molecular Imaging University of Groningen Groningenthe Netherlands

10. Department of Nuclear Medicine University of Southern Denmark Odense DK‐500 Denmark

Funder

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

Seventh Framework Programme

Research Executive Agency

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.13187

Reference43 articles.

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4. Iterative framework for the joint segmentation and CT synthesis of MR images: application to MRI-only radiotherapy treatment planning

5. MR-based synthetic CT generation using a deep convolutional neural network method

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