Current and Emerging Diagnostic Imaging-Based Techniques for Assessment of Osteoporosis and Fracture Risk

Anu Shaju Areeckal, Michel Kocher, Sumam David

Research output: Contribution to journalReview articlepeer-review

15 Citations (Scopus)

Abstract

Osteoporosis is a metabolic bone disorder characterized by low bone mass, degradation of bone microarchitecture, and susceptibility to fracture. It is a growing major health concern across the world, especially in the elderly population. Osteoporosis can cause hip or spinal fractures that may lead to high morbidity and socio-economic burden. Therefore, there is a need for early diagnosis of osteoporosis and prediction of fragility fracture risk. In this review, state of the art and recent advances in imaging techniques for diagnosis of osteoporosis and fracture risk assessment have been explored. Segmentation methods used to segment the regions of interest and texture analysis methods used for classification of healthy and osteoporotic subjects are also presented. Furthermore, challenges posed by the current diagnostic tools have been studied and feasible solutions to circumvent the limitations are discussed. Early diagnosis of osteoporosis and prediction of fracture risk require the development of highly precise and accurate low-cost diagnostic techniques that would help the elderly population in low economies.

Original languageEnglish
Article number8402109
Pages (from-to)254-268
Number of pages15
JournalIEEE Reviews in Biomedical Engineering
Volume12
DOIs
Publication statusPublished - 02-07-2018

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering

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