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A Markov random field model for bony tissue classification

✍ Scribed by J.M. Pardo-López; D. Cabello; J. Heras; J. Couceiro

Publisher
Elsevier Science
Year
1998
Tongue
English
Weight
863 KB
Volume
22
Category
Article
ISSN
0895-6111

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✦ Synopsis

3D biomedical images are a valuable source of information for clinical diagnosis. In areas such as bone remodeling, fracture prediction and prosthesis design, the external geometry of the bones needs to be precisely defined and injuries identified. A system that automatically interprets and presents a 3D reconstruction of the bone can be very useful, although this task cannot be carried out without specific knowledge of the domain. This knowledge may be represented by a set of constraints over properties and relationships between regions. In this work we present a Markov random field model for identification of injuries in the proximal tibia.

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