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Conference papers
Aorta segmentation using the watershed algorithm for an augmented reality system in laparoscopic surgery
Abstract : This paper presents an algorithm for a 3D segmentation of the aorta artery in magnetic resonance images (MRI). The purpose is to project the 3D segmented aorta in the patient's abdomen with an augmented reality (AR) system to help the surgeon in laparoscopic interventions. In order to obtain accurate results in the segmentation process a marker-controlled watershed algorithm is used. Since this method requires a robust gradient image and two marker sets, a preprocessing step is carried out in each image. The algorithm is automatic and the results are promising with a Jaccard coefficient (JC) of 0.8107 ± 0.0228.
Keywords :
3D segmentation
Augmented reality systems
Gradient images
Jaccard coefficients
Laparoscopic surgery
Magnetic resonance images
Medical Image Processing
Pre-processing step
Segmentation process
watershed algorithm
Algorithms
Blood vessels
Landforms
Magnetic resonance
Magnetic resonance imaging
Mathematical morphology
Medical imaging
Patient treatment
Three dimensional
Watersheds
Image segmentation
https://hal-mines-paristech.archives-ouvertes.fr/hal-00834437
Contributor : Bibliothèque MINES ParisTech Connect in order to contact the contributor
Submitted on : Saturday, June 15, 2013 - 9:15:29 AM
Last modification on : Wednesday, November 17, 2021 - 12:27:09 PM
Contributor : Bibliothèque MINES ParisTech Connect in order to contact the contributor
Submitted on : Saturday, June 15, 2013 - 9:15:29 AM
Last modification on : Wednesday, November 17, 2021 - 12:27:09 PM