MRI lung lobe segmentation in pediatric cystic fibrosis patients using a recurrent neural network trained with publicly accessible CT datasets-Reference-Cited by-同舟云学术

MRI lung lobe segmentation in pediatric cystic fibrosis patients using a recurrent neural network trained with publicly accessible CT datasets

Published:2022-03-29 Issue:1 Volume:88 Page:391-405
ISSN:0740-3194
Container-title:Magnetic Resonance in Medicine
language:en
Short-container-title:Magnetic Resonance in Med

Author:

Pusterla Orso¹²³^ORCID,Heule Rahel⁴⁵^ORCID,Santini Francesco¹³⁶^ORCID,Weikert Thomas⁶,Willers Corin²^ORCID,Andermatt Simon³,Sandkühler Robin³,Nyilas Sylvia⁷,Latzin Philipp²,Bieri Oliver¹³,Bauman Grzegorz¹³^ORCID

Affiliation:

1. Division of Radiological Physics Department of Radiology University Hospital Basel University of Basel Basel Switzerland

2. Division of Pediatric Respiratory Medicine and Allergology Department of Pediatrics, Inselspital Bern University Hospital University of Bern Switzerland

3. Department of Biomedical Engineering University of Basel Basel Switzerland

4. High Field Magnetic Resonance Max Planck Institute for Biological Cybernetics Tübingen Germany

5. Department of Biomedical Magnetic Resonance University of Tübingen Tübingen Germany

6. Department of Radiology University Hospital Basel University of Basel Basel Switzerland

7. Department of Diagnostic, Interventional and Pediatric Radiology, Inselspital Bern University Hospital University of Bern Switzerland

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mrm.29184

Reference52 articles.

1. Functional Imaging: CT and MRI

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3. Recurrent CT, Cumulative Radiation Exposure, and Associated Radiation-induced Cancer Risks from CT of Adults

4. Magnetic Resonance Imaging Detects Changes in Structure and Perfusion, and Response to Therapy in Early Cystic Fibrosis Lung Disease

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