TY - GEN
T1 - 3D vector flow guided segmentation of airway wall in MSCT
AU - Ortner, Margarete
AU - Fetita, Catalin
AU - Brillet, Pierre Yves
AU - Prêteux, Françoise
AU - Grenier, Philippe
PY - 2010/12/1
Y1 - 2010/12/1
N2 - 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.
AB - 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.
U2 - 10.1007/978-3-642-17274-8_30
DO - 10.1007/978-3-642-17274-8_30
M3 - Conference contribution
AN - SCOPUS:78650786290
SN - 3642172733
SN - 9783642172731
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 302
EP - 311
BT - Advances in Visual Computing - 6th International Symposium, ISVC 2010, Proceedings
T2 - 6th International, Symposium on Visual Computing, ISVC 2010
Y2 - 29 November 2010 through 1 December 2010
ER -