title: Statistical shape and appearance models in osteoporosis.
abstract: Statistical models (SMs) of shape (SSM) and appearance (SAM) have been acquiring popularity in medical image analysis since they were introduced in the early 1990s. They have been primarily used for segmentation, but they are also a powerful tool for 3D reconstruction and classification. All these tasks may be required in the osteoporosis domain, where fracture detection and risk estimation are key to reducing the mortality and/or morbidity of this bone disease. In this article, we review the different applications of SSMs and SAMs in the context of osteoporosis, and it concludes with a discussion of their advantages and disadvantages for this application.
authors.affiliation: Center for Computational Imaging and Simulation Technologies in Biomedicine (CISTIB), Mechanical Engineering Department, The University of Sheffield, Sheffield, UK, isaac.casm@sheff.ac.uk.
authors.forename: Isaac
authors.initials: I
authors.lastname: Castro-Mateos
authors.forename: Jose M
authors.initials: JM
authors.lastname: Pozo
authors.forename: Timothy F
authors.initials: TF
authors.lastname: Cootes
authors.forename: J Mark
authors.initials: JM
authors.lastname: Wilkinson
authors.forename: Richard
authors.initials: R
authors.lastname: Eastell
authors.forename: Alejandro F
authors.initials: AF
authors.lastname: Frangi
mesh_terms: D015502:Absorptiometry, Photon; D005269:Femur / Q000000981:diagnostic imaging*; D050723:Fractures, Bone / Q000000981:diagnostic imaging; D006620:Hip Fractures / Q000000981:diagnostic imaging*; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional; D015233:Models, Statistical; D010024:Osteoporosis / Q000000981:diagnostic imaging*; D058866:Osteoporotic Fractures / Q000000981:diagnostic imaging*; D018570:Risk Assessment; D016103:Spinal Fractures / Q000000981:diagnostic imaging*; D013131:Spine / Q000000981:diagnostic imaging*; D014057:Tomography, X-Ray Computed