Deep learning-based segmentation of the lung in MR-images acquired by a stack-of-spirals trajectory at ultra-short echo-times

Deep learning-based segmentation of the lung in MR-images acquired by a stack-of-spirals trajectory at ultra-short echo-times

Abstract Background Functional lung MRI techniques are usually associated with time-consuming post-processing, where manual lung segmentation represents the most cumbersome part. The aim of this study was to investigate whether deep learning-based segmentation of lung images which were scanned by a...

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Bibliographic Details
Main Authors: Andreas M. Weng, Julius F. Heidenreich, Corona Metz, Simon Veldhoen, Thorsten A. Bley, Tobias Wech
Format: Article
Language:English
Published: BMC 2021-05-01
Series:BMC Medical Imaging
Subjects:
MRI
Lung
Deep learning
Image segmentation
Online Access:https://doi.org/10.1186/s12880-021-00608-1

Internet

https://doi.org/10.1186/s12880-021-00608-1

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