Comparison of land-mark-based and curve-based thin-plate warps for analysis of left-ventricular motion from tagged MRI

A. A. Amini, Y. Chen, D. Abendschein

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

2 Scopus citations

Abstract

MRI is unique in its ability to non-invasively and selectively alter tissue magnetization, and create tagged patterns within a deforming body such as the heart muscle. The resulting grid patterns define noninvasive tissue markers, providing a mechanism for in-vivo measurement of tissue motion and strain. In this paper, we report on objective comparison of thin-plate spline warps in reconstructing true deformations when using homologous land-mark points and when using homologous curves from tagged MR-image sequences of a cardiac motion simulator. In addition, the number of corresponding land-mark points as well as the number of corresponding curves are varied in order to determine the effect on accuracy of reconstructions. Finally, application of the developed techniques to computing LV tissue motion and strain in systole from short-axis tagged images of a porcine model with anterior myocardial infarction (MI) are given.

Original languageEnglish
Title of host publicationMedical Image Computing and Computer-Assisted Intervention –MICCAI 1999 - 2nd International Conference, Proceedings
EditorsChris Taylor, Alain Colchester
PublisherSpringer Verlag
Pages498-507
Number of pages10
ISBN (Print)354066503X, 9783540665038
DOIs
StatePublished - 1999
Event2nd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 1999 - Cambridge, United Kingdom
Duration: Sep 19 1999Sep 22 1999

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1679
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference2nd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 1999
Country/TerritoryUnited Kingdom
CityCambridge
Period09/19/9909/22/99

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