Title :
A new segmentation method for MRI images of the shoulder joint
Author :
Nguyen, Nhat Tan ; Laurendeau, Denis ; Branzan-Albu, Alexandra
Author_Institution :
Laval Univ. Quebec, Quebec
Abstract :
This paper presents an integrated region-based and gradient-based supervised method for segmentation of a patient magnetic resonance images (MRI) of the shoulder joint. The method is noninvasive, anatomy-based and requires only simple user interaction. It is generic and easily customizable for a variety of routine clinical uses in orthopedic surgery.
Keywords :
biomedical MRI; computer vision; gradient methods; image segmentation; orthopaedics; surgery; user interfaces; early vision; gradient-based supervised method; iteration method; orthopedic surgery; patient MRI image segmentation; region-based supervised method; shoulder joint; user interaction; Bones; Computed tomography; Computer vision; High-resolution imaging; Image segmentation; Joints; Magnetic resonance imaging; Pain; Shape; Shoulder;
Conference_Titel :
Computer and Robot Vision, 2007. CRV '07. Fourth Canadian Conference on
Conference_Location :
Montreal, Que.
Print_ISBN :
0-7695-2786-8
