title: Regional ejection fraction and regional area strain for left ventricular function assessment in male patients after first-time myocardial infarction.
abstract: In this work, we present a method to assess left ventricle (LV) regional function from cardiac magnetic resonance (CMR) imaging based on the regional ejection fraction (REF) and regional area strain (RAS). CMR scans were performed for 30 patients after first-time myocardial infarction (MI) and nine age- and sex-matched healthy volunteers. The CMR images were processed to reconstruct three-dimensional LV geometry, and the REF and RAS in a 16-segment model were computed using our proposed methodology. The method of computing the REF was tested and shown to be robust against variation in user input. Furthermore, analysis of data was feasible in all patients and healthy volunteers without any exclusions. The REF correlated well with the RAS in a nonlinear manner (quadratic fit-R(2) = 0.88). In patients after first-time MI, the REF and RAS were significantly reduced across all 16 segments (REF: p < 0.05; RAS: p < 0.01). Moreover, the REF and RAS significantly decreased with the extent of transmural scar obtained from late gadolinium-enhanced CMR images. In addition, we show that the REF and RAS can be used to identify regions with compromised function in the patients with preserved global ejection fraction with reasonable accuracy (more than 78%). These preliminary results confirmed the validity of our approach for accurate analysis of LV regional function. Our approach potentially offers physicians new insights into the local characteristics of the myocardial mechanics after a MI.
authors.affiliation: Department of Computing Science, Institute of High Performance Computing, Agency for Science, Technology and Research (A*STAR), Singapore, Republic of Singapore teosk@ihpc.a-star.edu.sg.
authors.forename: Soo-Kng
authors.initials: SK
authors.lastname: Teo
authors.affiliation: Department of Computing Science, Institute of High Performance Computing, Agency for Science, Technology and Research (A*STAR), Singapore, Republic of Singapore Technical Medicine, University of Twente, Maarn, The Netherlands.
authors.forename: F J A
authors.initials: FJ
authors.lastname: Vos
authors.affiliation: National Heart Centre Singapore, Republic of Singapore Duke-NUS Graduate Medical School Singapore, Republic of Singapore.
authors.forename: Ru-San
authors.initials: RS
authors.lastname: Tan
authors.affiliation: National Heart Centre Singapore, Republic of Singapore Duke-NUS Graduate Medical School Singapore, Republic of Singapore.
authors.forename: Liang
authors.initials: L
authors.lastname: Zhong
authors.affiliation: Department of Computing Science, Institute of High Performance Computing, Agency for Science, Technology and Research (A*STAR), Singapore, Republic of Singapore.
authors.forename: Yi
authors.initials: Y
authors.lastname: Su
mesh_terms: D006801:Humans; D008279:Magnetic Resonance Imaging; D008297:Male; D009203:Myocardial Infarction / Q000503:physiopathology*; D013318:Stroke Volume / Q000502:physiology*; D016277:Ventricular Function, Left / Q000502:physiology*
keywords: cardiac magnetic resonance imaging; left ventricle; myocardial infarction; regional area strain; regional ejection fraction