Detecting regional abnormal cardiac contraction in short-axis MR images using Independent Component Analysis

A. Suinesiaputra, M. Üzümcü, A. F. Frangi, T. A.M. Kaandorp, J. H.C. Reiber, B. P.F. Lelieveldt

Research output: Contribution to journalConference articlepeer-review

Abstract

Regional myocardial motion analysis is used in clinical routine to inspect cardiac contraction in myocardial diseases such as infarction or hypertrophy. Physicians/radiologists can recognize abnormal cardiac motion because they have knowledge about normal heart contraction. This paper explores the potential of Independent Component Analysis (ICA) to extract local myocardial contractility patterns and to use them for the automatic detection of regional abnormalities. A qualitative evaluation was performed using 42 healthy volunteers to train the ICA model and 6 infarct patients to test the detection and localization. This experiment shows that the evaluation results correlate very well to the clinical gold standard: delayed-enhancement MR images.

Original languageEnglish
Pages (from-to)737-744
Number of pages8
JournalLecture notes in computer science
Volume3216
Issue numberPART 1
DOIs
Publication statusPublished - 2004
EventMedical Image Computing and Computer-Assisted Intervention, MICCAI 2004 - 7th International Conference, Proceedings - Saint-Malo, France
Duration: 26 Sept 200429 Sept 2004

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