title: A new parametric model-based technique in bone tumour analysis.
abstract: The study presents a new statistical model based segmentation technique dedicated to inhomogeneous bone tumours structure analysis. The presented 3-D segmentation procedure applies a statistic description of the structure based on Gaussian mixture model and an adaptive model-based relative fuzzy connectedness technique. It has been tested on 94 different MR series of 38 young patients. The final segmentation results have been evaluated using two different verification techniques and compared with other segmentation methods. The developed technique yields higher bone tumours segmentation accuracy compared to results obtained with conventional fuzzy connectedness approach and different segmentation methods presented in the literature, and based on active contour models or statistical analysis.
authors.affiliation: Department of Computer Science and Medical Equipment, Faculty of Biomedical Engineering, Silesian University of Technology, ul. Charlesa de Gaulle'a 66, 41-800 Zabrze, Poland; Institute for Vision and Graphics, University of Siegen, Hoerlindstr. 3, 57076 Siegen, Germany. Electronic address: jczajkowska@polsl.pl.
authors.forename: Joanna
authors.initials: J
authors.lastname: Czajkowska
authors.affiliation: Department of Computer Science and Medical Equipment, Faculty of Biomedical Engineering, Silesian University of Technology, ul. Charlesa de Gaulle'a 66, 41-800 Zabrze, Poland. Electronic address: epietka@polsl.pl.
authors.forename: Ewa
authors.initials: E
authors.lastname: Pietka
mesh_terms: D000465:Algorithms; D001859:Bone Neoplasms / Q000175:diagnosis*; D003952:Diagnostic Imaging; D017143:Fuzzy Logic; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional; D008279:Magnetic Resonance Imaging; D015233:Models, Statistical; D016011:Normal Distribution
keywords: 3-D segmentation; Bone tumours; Fuzzy connectedness analysis; Gaussian mixture model; Magnetic resonance imaging