Deep learning-based segmentation of the lung in MR-images acquired by a stack-of-spirals trajectory...
Deep learning-based segmentation of the lung in MR-images acquired by a stack-of-spirals trajectory at ultra-short echo-times
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Publisher
England: BioMed Central Ltd
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Language
English
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Publisher
England: BioMed Central Ltd
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Contents
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 fast UTE sequence exploiting the stack-of-spirals trajectory can provi...
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Full title
Deep learning-based segmentation of the lung in MR-images acquired by a stack-of-spirals trajectory at ultra-short echo-times
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TN_cdi_doaj_primary_oai_doaj_org_article_2efb463fc97d4d4292416e1be37dbd78
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2efb463fc97d4d4292416e1be37dbd78
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ISSN
1471-2342
E-ISSN
1471-2342
DOI
10.1186/s12880-021-00608-1
