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Semi-automatic segmentation of myocardium at risk from contrast enhanced SSFP images - validation against manual delineation and SPECT

Authors :
Henrik Engblom
Marcus Carlsson
John Pernow
Anthony H. Aletras
Håkan Arheden
Sasha Koul
Jane Tufvesson
Jean-François Deux
Dan Atar
David Erlinge
Peder Sörensson
Einar Heiberg
Source :
Journal of Cardiovascular Magnetic Resonance
Publication Year :
2015
Publisher :
Springer Science and Business Media LLC, 2015.

Abstract

Background The development of treatments to limit myocardial injury in patients with acute STEMI is dependent on methods that accurately determine the amount of mycoardium at risk (MaR). Both T2-weighted imaging and contrast enhanced SSFP (CE-SSFP) have been validated against SPECT and can determine the MaR by CMR one week after an infarct. CE-SSFP has recently been used in two multi-center studies 1,2 . An automatic algorithm for quantification of MaR from T2-weighted images has previously been described but not been tested in CE-SSFP. The aim of this study was to further develop and validate this automatic method for CE-SSFP. Methods

Details

ISSN :
1532429X
Volume :
17
Database :
OpenAIRE
Journal :
Journal of Cardiovascular Magnetic Resonance
Accession number :
edsair.doi.dedup.....4cbfb8ba2b76af96c91e2c6888904fe6
Full Text :
https://doi.org/10.1186/1532-429x-17-s1-q127