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Left Ventricular Shape and Motion Reconstruction through a Healthy Model for Characterizing Remodeling after Infarction

Authors :
Mathieu De Craene
Eric Saloux
Nicolas Duchateau
Pascal Allain
Paolo Piro
Philips Research
MedisysResearch Lab (Medisys)
Philips Research-Philips Research
Imagerie et modélisation Vasculaires, Thoraciques et Cérébrales (MOTIVATE)
Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS)
Université Claude Bernard Lyon 1 (UCBL)
Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon)
Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL)
Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)
Modeling & analysis for medical imaging and Diagnosis (MYRIAD)
CHU Caen
Normandie Université (NU)-Tumorothèque de Caen Basse-Normandie (TCBN)
Yves Coudière
Valéry Ozenne
Edward Vigmond
Nejib Zemzemi
Source :
Lecture Notes in Computer Science, Functional Imaging and Modeling of the Heart ISBN: 9783030219482, FIMH
Publication Year :
2019
Publisher :
HAL CCSD, 2019.

Abstract

International audience; We introduce a framework for the statistical characterization of heart remodeling from both shape and dynamics of the left ventricle. Shape was characterized by thickness and radius maps, unfolded in a two-dimensional dense Bull's eye. Motion was represented as a mixture of affine transformations in an anatomical space of coordinates. Using this representation, a population can be projected (after defining spa-tiotemporal correspondences) to an atlas space built for a given reference population-here, healthy subjects using a classic PCA approach-yielding a joint model of healthy shape and motion statistics. The reconstruction error on shape and motion can then be exploited to quantify remodeling abnormalities. We demonstrate these concepts on 48 healthy subjects and 62 patients with infarct (29 with one year follow-up) imaged with 3D echocardiography, analyzing a total of 139 sequences.

Details

Language :
English
ISBN :
978-3-030-21948-2
ISBNs :
9783030219482
Database :
OpenAIRE
Journal :
Lecture Notes in Computer Science, Functional Imaging and Modeling of the Heart ISBN: 9783030219482, FIMH
Accession number :
edsair.doi.dedup.....a1d28b31adb46a984279bc1d16642d18