| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 5890432 | Bone | 2014 | 12 Pages |
â¢Statistical shape (SSM) and appearance (SAM) models of bones are reviewed.â¢SSM describe mean bone shape and main modes of variation from the mean shape.â¢SAM describe mean density distribution and main modes of variation from that.â¢Shape and density of every bone can be described using appropriate SSM & SAM.â¢SSM and SAM could facilitate and improve patient-specific bone analyses.
When applied to bones, statistical shape models (SSM) and statistical appearance models (SAM) respectively describe the mean shape and mean density distribution of bones within a certain population as well as the main modes of variations of shape and density distribution from their mean values. The availability of this quantitative information regarding the detailed anatomy of bones provides new opportunities for diagnosis, evaluation, and treatment of skeletal diseases. The potential of SSM and SAM has been recently recognized within the bone research community. For example, these models have been applied for studying the effects of bone shape on the etiology of osteoarthritis, improving the accuracy of clinical osteoporotic fracture prediction techniques, design of orthopedic implants, and surgery planning. This paper reviews the main concepts, methods, and applications of SSM and SAM as applied to bone.
