Integration of Biomechanical Properties in a Markov Random Field: Application to Myocardial Motion Estimation in Cardiomyopathy Patients

Lucilio Cordero Grande, Marcos Martín-Fernández, Carlos Alberola-López

Research output: Contribution to journalConference paperpeer-review

Abstract

We propose a new method for myocardial material point tracking on cine magnetic resonance images which makes use of a multiresolution Markov random field of discrete 3D deformations defined on a tetrahedral grid of the myocardial volume. A block-matching procedure is combined with biomechanics-based and smoothness assumptions on the resulting deformations. Quantitative results and visual illustration about the cardiac mechanics parameters obtained are provided on a sample of 7 patients affected by different cardiomyopathies.
Original languageEnglish
Number of pages3
JournalOSA Meeting on QMI
DOIs
Publication statusPublished - 27 Jun 2013

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