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Segmentation of 4D Flow MRI: Comparison between 3D Deep Learning and Velocity-Based Level Sets

Segmentation of 4D Flow MRI: Comparison between 3D Deep Learning and Velocity-Based Level Sets

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_68ac183901fd42a38335ea17455cfd1f

Segmentation of 4D Flow MRI: Comparison between 3D Deep Learning and Velocity-Based Level Sets

About this item

Full title

Segmentation of 4D Flow MRI: Comparison between 3D Deep Learning and Velocity-Based Level Sets

Publisher

Switzerland: MDPI AG

Journal title

Journal of imaging, 2023-06, Vol.9 (6), p.123

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

A thoracic aortic aneurysm is an abnormal dilatation of the aorta that can progress and lead to rupture. The decision to conduct surgery is made by considering the maximum diameter, but it is now well known that this metric alone is not completely reliable. The advent of 4D flow magnetic resonance imaging has allowed for the calculation of new biom...

Alternative Titles

Full title

Segmentation of 4D Flow MRI: Comparison between 3D Deep Learning and Velocity-Based Level Sets

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_68ac183901fd42a38335ea17455cfd1f

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_68ac183901fd42a38335ea17455cfd1f

Other Identifiers

ISSN

2313-433X

E-ISSN

2313-433X

DOI

10.3390/jimaging9060123

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