Model-based analysis of myocardial strain data acquired by tissue Doppler imaging

Artificial Intelligence in Medicine
Virginie Le RolleGuy Carrault

Abstract

Tissue Doppler imaging (TDI) is commonly used to evaluate regional ventricular contraction properties through the analysis of myocardial strain. During the clinical examination, a set of strain signals is acquired concurrently at different locations. However, the joint interpretation of these signals remains difficult. This paper proposes a model-based approach in order to assist the clinician in making an analysis of myocardial strain. The proposed method couples a model of the left ventricle, which takes into account cardiac electrical, mechanical and hydraulic activities with an adapted identification algorithm, in order to obtain patient-specific model representations. The proposed model presents a tissue-level resolution, adapted to TDI strain analysis. The method is applied in order to reproduce TDI strain signals acquired from two healthy subjects and a patient presenting with dilated cardiomyopathy (DCM). The comparison between simulated and experimental strains for the three subjects reflects a satisfying adaptation of the model on different strain morphologies. The mean error between real and synthesized signals is equal to 2.34% and 2.09%, for the two healthy subjects and 1.30% for the patient suffering from DCM. Ide...Continue Reading

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Citations

Dec 4, 2009·Briefings in Bioinformatics·Maxwell Lewis Neal, Roy Kerckhoffs
Nov 4, 2009·Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences·Alfredo I HernándezGuy Carrault
Jun 22, 2011·IEEE Transactions on Bio-medical Engineering·Virginie Le RolleAlfredo I Hernández
Jul 7, 2011·Progress in Biophysics and Molecular Biology·Alfredo I HernándezS Randall Thomas
Sep 12, 2019·Acta Biotheoretica·Virginie Le RolleAlfredo I Hernández
Nov 24, 2020·The International Journal of Cardiovascular Imaging·Alban GallardAlfredo I Hernandez

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