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Improving Robustness of Automatic Cardiac Function Quantification From Cine Magnetic Resonance Imaging Using Synthetic Image Data

2021-07-20

Abstract excerpt

Although having been the subject of intense research over the years, cardiac function quantification from MRI is still not a fully automatic process in the clinical practice. This is partly due to the shortage of training data covering all relevant cardiovascular disease phenotypes. We propose to synthetically generate short axis CINE MRI using a generative adversarial model to expand the available data sets that...

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Literature Corpus work
3ce419c5-af49-5082-826b-3a83068eae8e
DOI
10.21203/rs.3.rs-715226/v1
Open publication

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Improving Robustness of Automatic Cardiac Function Quantification From Cine Magnetic Resonance Imaging Using Synthetic Image DataDOI 10.21203/rs.3.rs-715226/v1
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