Machine learning derived segmentation of phase velocity encoded cardiovascular magnetic resonance fo...
Machine learning derived segmentation of phase velocity encoded cardiovascular magnetic resonance for fully automated aortic flow quantification
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Publisher
England: BioMed Central Ltd
Journal title
Language
English
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Publisher
England: BioMed Central Ltd
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Scope and Contents
Contents
Phase contrast (PC) cardiovascular magnetic resonance (CMR) is widely employed for flow quantification, but analysis typically requires time consuming manual segmentation which can require human correction. Advances in machine learning have markedly improved automated processing, but have yet to be applied to PC-CMR. This study tested a novel machi...
Alternative Titles
Full title
Machine learning derived segmentation of phase velocity encoded cardiovascular magnetic resonance for fully automated aortic flow quantification
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TN_cdi_doaj_primary_oai_doaj_org_article_d99442973c6f4cbd808498e207a87d48
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d99442973c6f4cbd808498e207a87d48
Other Identifiers
ISSN
1097-6647
E-ISSN
1532-429X
DOI
10.1186/s12968-018-0509-0
