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Automatic determination of the fetal cardiac cycle in ultrasound using spatio-temporal neural networks

Abstract:

The characterization of the fetal cardiac cycle is an important determination of fetal health and stress. The anomalous appearance of different anatomical structures during different phases of the heart cycle is a key indicator of fetal congenital hearth disease. However, locating the fetal heart using ultrasound is challenging, as the heart is small and indistinct. In this paper, we present a viewpoint agnostic solution that automatically characterizes the cardiac cycle in clinical ultrasoun...

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Publication status:
Published
Peer review status:
Reviewed (other)

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Publisher copy:
10.1109/ISBI45749.2020.9098613

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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
ORCID:
0000-0002-3060-3772
Publisher:
IEEE Publisher's website
Volume:
2020
Pages:
1937-1940
Host title:
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI)
Publication date:
2020-05-22
DOI:
EISSN:
1945-8452
ISSN:
1945-7928
ISBN:
9781538693308
Language:
English
Keywords:
Pubs id:
1112018
Local pid:
pubs:1112018
Deposit date:
2020-07-08

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