title: Automated quantification of myocardial infarction using graph cuts on contrast delayed enhanced magnetic resonance images.
abstract: In this work, we propose a semi-automated myocardial infarction quantification method for cardiac contrast delayed enhancement magnetic resonance images (DE-MRI). Advantages of this method include that it reduces manual contouring of the left ventricle, obviates a remote myocardium region, and automatically distinguishes infarct, healthy and heterogeneous ("gray zone") tissue despite variability in intensity and noise across images. Quantitative evaluation results showed that the automatically determined infarct core and gray zone size have high correlation with that derived from the averaged results of the manual full width at half maximum (FWHM) methods (R(2)=0.99 for infarct core and gray zone size). Compared with the manual method, a much better reproducibility was achieved with the proposed algorithm and it shortens the evaluation time to one second per image, compared with 2-5 min per image for the manual method.
authors.affiliation: Imaging Research, Sunnybrook Health Sciences Centre, Toronto, ON, Canada;
authors.forename: Yingli
authors.initials: Y
authors.lastname: Lu
authors.forename: Yuesong
authors.initials: Y
authors.lastname: Yang
authors.forename: Kim A
authors.initials: KA
authors.lastname: Connelly
authors.forename: Graham A
authors.initials: GA
authors.lastname: Wright
authors.forename: Perry E
authors.initials: PE
authors.lastname: Radau