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
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;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
Conference_Location :
Osaka
DOI :
10.1109/EMBC.2013.6610016
