Slice-based combination of rest and dobutamine-stress cardiac MRI using a statistical motion model to identify myocardial infarction: Validation against contrast-enhanced MRI

Avan Suinesiaputra, Alejandro F. Frangi, Theodorus A.M. Kaandorp, Hildo J. Lamb, Jeroen J. Bax, Johan H.C. Reiber, Boudewijn P.F. Lelieveldt

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper presents an automated method for regional wall motion abnormality detection (RWMA) from rest and stress cardiac MRI. The automated RWMA detection is based on a statistical shape model of myocardial contraction trained on slice-based myocardial contours from in ED and ES. A combination of rigid and non-rigid registrations is introduced to align a patient shape to the normokinetic myocardium model, where pure contractility information is kept. The automated RWMA method is applied to identify potentially infarcted myocardial segments from rest-stress MRI alone. In this study, 41 cardiac MRI studies of healthy subjects were used to build the statistical normokinetic model, while 12 myocardial infarct patients were included for validation. The rest-stress data produced a better separation between scar and normal segments compared to the rest-only data. The sensitivity, specificity and accuracy were increased by 34%, 30%, and 32%, respectively. The area under the ROC curve for the rest-stress data was improved to 0.87 compared to 0.63 for the rest-only data.

Original languageEnglish
Title of host publicationFunctional Imaging and Modeling of the Heart - 6th International Conference, FIMH 2011, Proceedings
Pages267-274
Number of pages8
DOIs
Publication statusPublished - 2011
Event6th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2011 - New York City, NY, United States
Duration: 25 May 201127 May 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6666 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference6th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2011
Country/TerritoryUnited States
CityNew York City, NY
Period25/05/1127/05/11

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