Hierarchic anatomical structure segmentation guided by spatial correlations (AnatSeg-Gspac) : VISCERAL Anatomy3

Müller, Henning (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis)) ; Jiménez del Toro, Oscar Alfonso (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis)) ; Dicente Cid, Yashin (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis)) ; Depeursinge, Adrien (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis))

Medical image analysis techniques require an initial localization and segmentation of the corresponding anatomical structures. As part of the VISCERAL Anatomy segmentation benchmarks, a hierarchical multi-atlas multi-structure segmentation approach guided by anatomical correlations is proposed (AnatSeg-Gspac). The method defines a global alignment of the images and renes locally the anatomical regions of interest for the smaller structures. In this paper, the method is evaluated in the VISCERAL Anatomy3 benchmark in twenty anatomical structures in both contrast-enhanced and non-enhanced computed tomography (CT) scans. AnatSeg-Gspac obtained the lowest average Hausdor distance in 19 out of the 40 possible structure scores in the test set CT scans.


Mots-clés:
Type de conférence:
full paper
Faculté:
Economie et Services
Ecole:
HEG VS HES-SO Valais-Wallis - Haute Ecole de Gestion & Tourisme
Institut:
Institut Informatique de gestion
Classification:
Informatique
Adresse bibliogr.:
New York, USA, 16-19 April 2015
Date:
New York, USA
16-19 April 2015
2015
Pagination:
5 p.
Veröffentlicht in
Workshop proceedings of the VISCERAL Anatomy3 organ segmentation challenge co-located with IEEE 12th International Symposium on Biomedical Imaging (ISBI) 2015
Numérotation (vol. no.):
1390
ISSN:
1613-0073
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