3D strain assessment in ultrasound straus: A synthetic comparison of five tracking methodologiesReport as inadecuate

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1 Medisys - MedisysResearch Lab 2 ASCLEPIOS - Analysis and Simulation of Biomedical Images CRISAM - Inria Sophia Antipolis - Méditerranée 3 Laboratory of Cardiovascular Imaging and Dynamics 4 KU Leuven - Katholieke Universiteit Leuven 5 CREATIS - Centre de recherche et d-applications en traitement de l-image et du signal 6 PECSA - Physicochimie des Electrolytes, Colloïdes et Sciences Analytiques 7 CISTIB - Center for Computational Imaging and Simulation Technologies in Biomedicine 8 Fraunhofer MEVIS - Fraunhofer Institute for Medical Image Computing MEVIS Bremen 9 Département de Radiologie - CHU de Caen

Abstract : This paper evaluates five 3D ultrasound tracking algorithms regarding their ability to quantify abnormal deformation in timing or amplitude. A synthetic database of B-mode image sequences modeling healthy, ischemic and dyssynchrony cases was generated for that purpose. This database is made publicly available to the community. It combines recent advances in electromechanical and ultrasound modeling. For modeling heart mechanics, the Bestel-Clement-Sorine electromechanical model was applied to a realistic geometry. For ultrasound modeling, we applied a fast simulation technique to produce realistic images on a set of scatterers moving according to the electromechanical simulation result. Tracking and strain accuracies were computed and compared for all evaluated algorithms. For tracking, all methods were estimating myocardial displacements with an error below one milimeter on the ischemic sequences. The introduction of a dilated geometry was found to have a significant impact on accuracy. Regarding strain, all methods were able to recover timing differences between segments, as well as low strain values. On all cases, radial strain was found to have a low accuracy in comparison to longitudinal and circumferential components.

Author: Mathieu De Craene - Stéphanie Marchesseau - Brecht Heyde - Hang Gao - Martino Allesandrini - Olivier Bernard - Gemma Piella - An

Source: https://hal.archives-ouvertes.fr/


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