DocumentCode
3193296
Title
3D CT spine data segmentation and analysis of vertebrae bone lesions
Author
Peter, R. ; Malinsky, M. ; Ourednicek, P. ; Jan, J.
Author_Institution
Dept. of Biomed. Eng., Univ. of Technol., Brno, Czech Republic
fYear
2013
fDate
3-7 July 2013
Firstpage
2376
Lastpage
2379
Abstract
A method is presented aiming at detecting and classifying bone lesions in 3D CT data of human spine, via Bayesian approach utilizing Markov random fields. A developed algorithm for necessary segmentation of individual possibly heavily distorted vertebrae based on 3D intensity modeling of vertebra types is presented as well.
Keywords
Bayes methods; Markov processes; bone; computerised tomography; data analysis; image classification; image segmentation; medical image processing; random processes; 3D CT spine data analysis; 3D CT spine data segmentation; 3D intensity modeling; Bayesian approach; Markov random fields; bone lesion classification; heavily distorted vertebrae; human spine; vertebrae bone lesions; Biomedical imaging; Bones; Computed tomography; Image segmentation; Lesions; Three-dimensional displays;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
Conference_Location
Osaka
ISSN
1557-170X
Type
conf
DOI
10.1109/EMBC.2013.6610016
Filename
6610016
Link To Document