DocumentCode :
3238872
Title :
Image segmentation using MRI vertebral cross-sections
Author :
Booth, Simon ; Clausi, David A.
Author_Institution :
Dept. of Syst. Design Eng., Waterloo Univ., Ont., Canada
Volume :
2
fYear :
2001
fDate :
2001
Firstpage :
1303
Abstract :
Computer assisted spinal surgery requires the development of a 3-D image of a patient´s spine. A method is being developed to construct such a 3-D spinal image from axial MRI cross-sections, using a deformable template. This paper outlines techniques used to register the model with the patient data. First an algorithm based on symmetry of the anatomy is developed to determine the position and orientation of the vertebrae in each cross-section. Second, an active contour is used for segmentation of the spinal cord. Last, a novel edge detection scheme is developed to identify the low contrast edges of the vertebral body in each cross-section
Keywords :
biomedical MRI; edge detection; image segmentation; medical image processing; orthopaedics; surgery; 3D image; 3D spinal image; MRI vertebral cross-sections; algorithm; anatomy symmetry; axial MRI cross-sections; computer assisted spinal surgery; deformable template; edge detection; image segmentation; low contrast edges identification; orthopedic surgery; patient data; patient spine; scale estimation; spinal cord segmentation; vertebrae orientation; vertebrae position; vertebral body; Active contours; Bones; Computed tomography; Image edge detection; Image segmentation; Magnetic resonance imaging; Spinal cord; Spine; Surgery; X-ray imaging;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Computer Engineering, 2001. Canadian Conference on
Conference_Location :
Toronto, Ont.
ISSN :
0840-7789
Print_ISBN :
0-7803-6715-4
Type :
conf
DOI :
10.1109/CCECE.2001.933633
Filename :
933633
Link To Document :
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