Aorta segmentation using the watershed algorithm for an augmented reality system in laparoscopic surgery
Résumé
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.
Mots clés
- Image segmentation
- Algorithms
- Blood vessels
- Landforms
- Magnetic resonance
- Magnetic resonance imaging
- Mathematical morphology
- Medical imaging
- Patient treatment
- Three dimensional
- Watersheds
- watershed algorithm
- Segmentation process
- Pre-processing step
- Medical Image Processing
- Magnetic resonance images
- Laparoscopic surgery
- Jaccard coefficients
- Gradient images
- Augmented reality systems
- 3D segmentation
