Analysis of myocardial motion and strain patterns using a cylindrical B-spline transformation model

Raghavendra Chandrashekara, Raad H. Mohiaddin, Daniel Rueckert

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

9 Scopus citations

Abstract

We present a novel method for tracking the motion of the myocardium in tagged magnetic resonance (MR) images of the heart using a nonrigid registration algorithm based on a cylindrical free-form deformation (FFD) model and the optimization of a cost function based on normalized mutual information (NMI). The new aspect of our work is that we use a FFD defined in a cylindrical rather than a Cartesian coordinate system. This models more closely the geometry and motion of the left ventricle (LV). Validation results using a cardiac motion simulator and tagged MR data from 6 normal volunteers are also presented.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsNicholas Ayache, Herve Delingette
PublisherSpringer Verlag
Pages88-99
Number of pages12
ISBN (Print)3540404392, 9783540404392
DOIs
StatePublished - 2003
Externally publishedYes

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2673
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

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