3D vector flow guided segmentation of airway wall in MSCT

Margarete Ortner, Catalin Fetita, Pierre Yves Brillet, Françoise Prêteux, Philippe Grenier

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationAdvances in Visual Computing - 6th International Symposium, ISVC 2010, Proceedings
Pages302-311
Number of pages10
EditionPART 2
DOIs
Publication statusPublished - 1 Dec 2010
Externally publishedYes
Event6th International, Symposium on Visual Computing, ISVC 2010 - Las Vegas, NV, United States
Duration: 29 Nov 20101 Dec 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume6454 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference6th International, Symposium on Visual Computing, ISVC 2010
Country/TerritoryUnited States
CityLas Vegas, NV
Period29/11/101/12/10

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