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Multi-input and dataset-invariant adversarial learning (MDAL) for left and right-ventricular coverage estimation in cardiac MRI

Abstract:

Cardiac functional parameters, such as, the Ejection Fraction (EF) and Cardiac Output (CO) of both ventricles, are most immediate indicators of normal/abnormal cardiac function. To compute these parameters, accurate measurement of ventricular volumes at end-diastole (ED) and end-systole (ES) are required. Accurate volume measurements depend on the correct identification of basal and apical slices in cardiac magnetic resonance (CMR) sequences that provide full coverage of both left (LV) and ri...

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Publication status:
Published
Peer review status:
Peer reviewed

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Institution:
University of Oxford
Division:
MSD
Department:
RDM
Sub department:
RDM Cardiovascular Medicine
Role:
Author
ORCID:
0000-0002-0268-5221
More by this author
Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
RDM
Sub department:
RDM Cardiovascular Medicine
Role:
Author
Publisher:
Springer
Host title:
21st International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2018)
Journal:
25 May 2018 More from this journal
Publication date:
2018-09-26
Acceptance date:
2018-05-25
DOI:
EISSN:
1611-3349
ISSN:
0302-9743
ISBN:
9783030009335
Pubs id:
pubs:926699
UUID:
uuid:6b7c19aa-26a2-4375-b536-c74c168cc3ca
Local pid:
pubs:926699
Source identifiers:
926699
Deposit date:
2018-10-18

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