A Cardiac Shape Model for Segmentation Uncertainty Quantification - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2021

A Cardiac Shape Model for Segmentation Uncertainty Quantification

Résumé

Segmentation of cardiac images is a variable component of many patient specific computational pipelines, yet its impact on simulated results are still not fully understood. A hurdle to to exploring the impact of the segmentation variability is the technical challenge of building a statistical shape model of the ventricles. In this study, we improved open our previous shape analysis by creating a unified shape model including both the epicardium and endocardium. We tested four techniques within ShapeWorks to generate a ventricular shape model: standard, multidomain, hybrid multidomain, and geodesic distance. The multidomain and hybrid multidomain generated a shape model using all eleven segmentations, and the geodesic distance method generated a shape model using a subset of four segmentations. Each of the shape models captured spatially dependent characteristics of the segmentation variability, including wall thickness, annular diameter, and basal truncation. While each of the three methods have benefits, the hybrid multidomain approach provided the most accurate shape model with fewest points and may be most useful in a majority of applications.
Fichier principal
Vignette du fichier
CinC2021-146.pdf (7.61 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03805351 , version 1 (09-06-2023)

Licence

Paternité

Identifiants

Citer

Jess Tate, Shireen Elhabian, Nejib Zemzemi, Wilson Good, Peter van Dam, et al.. A Cardiac Shape Model for Segmentation Uncertainty Quantification. 2021 Computing in Cardiology (CinC), Sep 2021, Brno, Czech Republic. pp.1-4, ⟨10.22489/CinC.2021.146⟩. ⟨hal-03805351⟩
5 Consultations
15 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More