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New methods for the geometrical analysis of tubular organs.
Grélard, Florent; Baldacci, Fabien; Vialard, Anne; Domenger, Jean-Philippe.
Affiliation
  • 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 in En | MEDLINE | ID: mdl-28780175
ABSTRACT
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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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Image Processing, Computer-Assisted / Imaging, Three-Dimensional Type of study: Diagnostic_studies Limits: Humans Language: En Journal: Med Image Anal Journal subject: DIAGNOSTICO POR IMAGEM Year: 2017 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Image Processing, Computer-Assisted / Imaging, Three-Dimensional Type of study: Diagnostic_studies Limits: Humans Language: En Journal: Med Image Anal Journal subject: DIAGNOSTICO POR IMAGEM Year: 2017 Document type: Article