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

Mathieu de Craene (1) , Paolo Piro (1) , Nicolas Duchateau (2, 3, 4) , Pascal Allain (1) , Eric Saloux (5)

1 Philips Research
2 MOTIVATE - Imagerie et modélisation Vasculaires, Thoraciques et Cérébrales
3 CREATIS - Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé
4 MYRIAD - Modeling & analysis for medical imaging and Diagnosis
5 CHU Caen

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.

Mots clés: Cardiac; Shape; Motion; Abnormality

Domaines: Imagerie médicale; Cardiologie et système cardiovasculaire

Mathieu de Craene, Paolo Piro, Nicolas Duchateau, Pascal Allain, Eric Saloux. Left Ventricular Shape and Motion Reconstruction through a Healthy Model for Characterizing Remodeling after Infarction. 10th International Conference on Functional Imaging and Modeling of the Heart (FIMH 2019), Jun 2019, Bordeaux, France. pp.159-167, ⟨10.1007/978-3-030-21949-9_18⟩. ⟨hal-02154789⟩