An automated framework for localization, segmentation and super-resolution reconstruction of fetal b...
An automated framework for localization, segmentation and super-resolution reconstruction of fetal brain MRI
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Publisher
United States: Elsevier Inc
Journal title
Language
English
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Publisher
United States: Elsevier Inc
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Scope and Contents
Contents
High-resolution volume reconstruction from multiple motion-corrupted stacks of 2D slices plays an increasing role for fetal brain Magnetic Resonance Imaging (MRI) studies. Currently existing reconstruction methods are time-consuming and often require user interactions to localize and extract the brain from several stacks of 2D slices. We propose a...
Alternative Titles
Full title
An automated framework for localization, segmentation and super-resolution reconstruction of fetal brain MRI
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TN_cdi_doaj_primary_oai_doaj_org_article_11ab161946c64489a8de6091df96cafd
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_11ab161946c64489a8de6091df96cafd
Other Identifiers
ISSN
1053-8119,1095-9572
E-ISSN
1095-9572
DOI
10.1016/j.neuroimage.2019.116324
