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Self-supervised ultrasound to MRI fetal brain image synthesis

Abstract:

Fetal brain magnetic resonance imaging (MRI) offers exquisite images of the developing brain but is not suitable for second-trimester anomaly screening, for which ultrasound (US) is employed. Although expert sonographers are adept at reading US images, MR images which closely resemble anatomical images are much easier for non-experts to interpret. Thus in this article we propose to generate MR-like images directly from clinical US images. In medical image analysis such a capability is potenti...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1109/tmi.2020.3018560

Authors


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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
ORCID:
0000-0003-0833-5115
More by this author
Role:
Author
ORCID:
0000-0002-9119-436X
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Women's & Reproductive Health
Role:
Author
ORCID:
0000-0001-8143-2232
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Oxford college:
St Hilda's College
Role:
Author
ORCID:
0000-0002-3060-3772
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Name:
Engineering and Physical Sciences Research Council
Grant:
EP/M013774/1
EP/R013853/1
Publisher:
IEEE
Journal:
IEEE Transactions on Medical Imaging More from this journal
Volume:
39
Issue:
12
Pages:
4413-4424
Publication date:
2020-08-24
Acceptance date:
2020-08-12
DOI:
EISSN:
1558-254X
ISSN:
0278-0062
Pmid:
32833630
Language:
English
Keywords:
Pubs id:
1128984
Local pid:
pubs:1128984
Deposit date:
2021-07-30

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