Shape Analysis of Segmentation Variability
hal.structure.identifier | University of Utah | |
dc.contributor.author | TATE, Jess | |
hal.structure.identifier | Modélisation et calculs pour l'électrophysiologie cardiaque [CARMEN] | |
dc.contributor.author | ZEMZEMI, Nejib | |
hal.structure.identifier | University of Utah | |
dc.contributor.author | GOOD, Wilson | |
hal.structure.identifier | Utrecht Brain Center [UMC] | |
dc.contributor.author | VAN DAM, Peter | |
hal.structure.identifier | Northeastern University [Boston] | |
dc.contributor.author | BROOKS, Dana | |
hal.structure.identifier | University of Utah | |
dc.contributor.author | MACLEOD, Rob | |
dc.date.accessioned | 2024-04-04T02:40:13Z | |
dc.date.available | 2024-04-04T02:40:13Z | |
dc.date.conference | 2020-09-13 | |
dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/191046 | |
dc.description.abstractEn | Patient-specific cardiac simulation rely on accurate geometric models extracted from medical images. Segmentation of cardiac images is a key, yet possibly error-prone part of patient-specific simulations, e.g., heart propagation models, ECG forward simulation, and ECG Imaging. In this study, we performed shape analysis on multiple segmentations of the same patient to quantify variability. We found that segmentation shape varied most in the basal region of the ventricles and the right ventricular outflow tract in all three structures, which could have significant impact on pipelines that depend on geometric models. The statistical shape-model generated using ShapeWorks provides a pathway to subsequently quantify the impact of the segmentation variability on modeling pipelines with uncertainty quantification. | |
dc.language.iso | en | |
dc.title.en | Shape Analysis of Segmentation Variability | |
dc.type | Communication dans un congrès | |
dc.identifier.doi | 10.22489/CinC.2020.466 | |
dc.subject.hal | Informatique [cs]/Modélisation et simulation | |
bordeaux.hal.laboratories | Institut de Mathématiques de Bordeaux (IMB) - UMR 5251 | * |
bordeaux.institution | Université de Bordeaux | |
bordeaux.institution | Bordeaux INP | |
bordeaux.institution | CNRS | |
bordeaux.conference.title | CinC 2020 - Computing in Cardiology Conference | |
bordeaux.country | IT | |
bordeaux.conference.city | Rimini | |
bordeaux.peerReviewed | oui | |
hal.identifier | hal-03805404 | |
hal.version | 1 | |
hal.invited | non | |
hal.proceedings | oui | |
hal.conference.end | 2020-09-16 | |
hal.popular | non | |
hal.audience | Internationale | |
hal.origin.link | https://hal.archives-ouvertes.fr//hal-03805404v1 | |
bordeaux.COinS | ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.au=TATE,%20Jess&ZEMZEMI,%20Nejib&GOOD,%20Wilson&VAN%20DAM,%20Peter&BROOKS,%20Dana&rft.genre=unknown |
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