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New methods for the geometrical analysis of tubular organs.
Grélard, Florent; Baldacci, Fabien; Vialard, Anne; Domenger, Jean-Philippe.
Afiliação
  • Grélard F; Univ. Bordeaux, LaBRI, UMR 5800, F-33400 Talence, France; CNRS, LaBRI, UMR 5800, F-33400 Talence, France. Electronic address: florent.grelard@labri.fr.
  • Baldacci F; Univ. Bordeaux, LaBRI, UMR 5800, F-33400 Talence, France; CNRS, LaBRI, UMR 5800, F-33400 Talence, France.
  • Vialard A; Univ. Bordeaux, LaBRI, UMR 5800, F-33400 Talence, France; CNRS, LaBRI, UMR 5800, F-33400 Talence, France.
  • Domenger JP; Univ. Bordeaux, LaBRI, UMR 5800, F-33400 Talence, France; CNRS, LaBRI, UMR 5800, F-33400 Talence, France.
Med Image Anal ; 42: 89-101, 2017 Dec.
Article em En | MEDLINE | ID: mdl-28780175
This paper presents new methods to study the shape of tubular organs. Determining precise cross-sections is of major importance to perform geometrical measurements, such as diameter, wall-thickness estimation or area measurement. Our first contribution is a robust method to estimate orthogonal planes based on the Voronoi Covariance Measure. Our method is not relying on a curve-skeleton computation beforehand. This means our orthogonal plane estimator can be used either on the skeleton or on the volume. Another important step towards tubular organ characterization is achieved through curve-skeletonization, as skeletons allow to compare two tubular organs, and to perform virtual endoscopy. Our second contribution is dedicated to correcting common defects of the skeleton by new pruning and recentering methods. Finally, we propose a new method for curve-skeleton extraction. Various results are shown on different types of segmented tubular organs, such as neurons, airway-tree and blood vessels.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Imageamento Tridimensional Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Revista: Med Image Anal Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Imageamento Tridimensional Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Revista: Med Image Anal Ano de publicação: 2017 Tipo de documento: Article