3D vector flow guided segmentation of airway wall in MSCT

Abstract : This paper develops a 3D automated approach for airway wall segmentation and quantification in MSCT based on a patient-specific deformable model. The model is explicitly defined as a triangular surface mesh at the level of the airway lumen segmented from the MSCT data. The model evolves according to simplified Lagrangian dynamics, where the deformation force field is defined by a case-specific generalized gradient vector flow. Such force formulation allows locally adaptive time step integration and prevents model self-intersections. The evaluations performed on simulated and clinical MSCT data have shown a good agreement with the radiologist expertise and underlined a higher potential of the proposed 3D approach for the study of airway remodeling versus 2D cross-section techniques.
Type de document :
Communication dans un congrès
6th International Symposium on Visual Computing, Dec 2010, United States. 6454, pp.302-311, 2010, <10.1007/978-3-642-17274-8_30>
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https://hal.archives-ouvertes.fr/hal-00625687
Contributeur : Catalin Fetita <>
Soumis le : jeudi 22 septembre 2011 - 12:41:35
Dernière modification le : jeudi 9 février 2017 - 15:22:33

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Margarete Ortner, Catalin Fetita, Pierre-Yves Brillet, Françoise Prêteux, Philippe Grenier. 3D vector flow guided segmentation of airway wall in MSCT. 6th International Symposium on Visual Computing, Dec 2010, United States. 6454, pp.302-311, 2010, <10.1007/978-3-642-17274-8_30>. <hal-00625687>

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