Automatic prediction of myocardial contractility improvement in stress MRI using shape morphometrics with independent component analysis

Authors:
A. Suinesiaputra;A. F. Frangi;H. J. Lamb;J. H. C. Reiber;B. P. F. Lelieveldt
Affiliations:
Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands;Computational Imaging Lab, Dept. of Technology, Pompeu Fabra University, Barcelona, Spain;Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands;Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands;Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
Venue:
IPMI'05 Proceedings of the 19th international conference on Information Processing in Medical Imaging
Year:
2005

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Abstract

An important assessment in patients with ischemic heart disease is whether myocardial contractility may improve after treatment. The prediction of myocardial contractility improvement is generally performed under physical or pharmalogical stress conditions. In this paper, we present a technique to build a statistical model of healthy myocardial contraction using independent component analysis. The model is used to detect regions with abnormal contraction in patients both during rest and stress.