DocumentCode
2795728
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
fYear
2007
fDate
28-30 May 2007
Firstpage
329
Lastpage
338
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Robot Vision, 2007. CRV '07. Fourth Canadian Conference on
Conference_Location
Montreal, Que.
Print_ISBN
0-7695-2786-8
Type
conf
DOI
10.1109/CRV.2007.4
Filename
4228556
Link To Document