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.

journal_name

Curr Osteoporos Rep

authors

Castro-Mateos I,Pozo JM,Cootes TF,Wilkinson JM,Eastell R,Frangi AF

doi

10.1007/s11914-014-0206-3

subject

Has Abstract

pub_date

2014-06-01 00:00:00

pages

163-73

issue

2

eissn

1544-1873

issn

1544-2241

journal_volume

12

pub_type

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