• ISSN: 2010-0248
    • Abbreviated Title: Int. J. Innov.  Manag. Technol.
    • Frequency: Bimonthly
    • DOI: 10.18178/IJIMT
    • Editor-in-Chief: Prof. Jin Wang
    • Executive Editor: Ms. Nina Lee
    • Abstracting/ Indexing: Google Scholar, Ulrich's Periodicals Directory,  Crossref and ProQuest, Electronic Journals Library.
    • E-mail: ijimt@ejournal.net
IJIMT 2010 Vol.1(5):516-520  ISSN: 2010-0248
DOI: 10.7763/IJIMT.2010.V1.90

Information Processing of Medical Images for the Detection of Osteoporosis in Hip Region of Interest

Venkatesh Mahadevan, Sapthagirivasan V

Abstract—Quality Healthcare decision making support system (HDMS) in orthopedic is the essence of quality orthopedic care delivery. HDMS is an interactive decision making support system (DMSS) computer software, which is designed to assist physicians and other health professionals with decision making tasks, as determining diagnosis of patient data. The purpose of this study is to conceptualise a system for quality HDMS in the field of orthopedics. Osteoporosis is one of the major health problems in most of the countries and prediction of such disease is challenging task in orthopedic department. Osteoporotic hip fracture is associated with high mortality and morbidity and often results in a loss of mobility and independence. Osteoporosis is diagnosed by measuring Bone Mineral Density (BMD, g cm-2), a measure of the amount of mineral in a bone. Although BMD continues to serve well it does not fully account for bone strength and only partially accounts for the risk of hip fracture. The shape and structure of the proximal femur also help to determine how forces act in the hip in a fall and their measurement can aid the prediction of hip fracture. This study includes the trabecular density of the right proximal femur in a total number of fifty Indian pre and postmenopausal women were extracted from two dimensional digital hip radiographic images by designing a Computer Aided Detection (CAD) system, and these results were compared with BMD values of theproximal femur measured by Dual energy x-ray absorptiometry (DXA) for same set of women, as a standard. Results obtained by this proposed approach explored how they were related with BMD and anthropometric factors such as height, and weight of their body. The trabecular density approach may prove useful to better address the risk of osteoporotic fracture in clinical practice as well as research. The results obtained by DXA found that 20% and 34% of the Indian women were having osteoporosis and osteopenia respectively.

Index Terms—DXA, Health care, Decision making system,Osteoporosis, Information processing.

Venkatesh Mahadevan is with Swinburne University of Technology, Department of Information Systems and e-Business, Melbourne, Australia.(Corresponding Author. Phone:+61392157315 Fax: +61392157070; E-mail:vmahadevan@swinburne.edu.au).
Sapthagirivasan V is with Iitechnologies Research & Development, Biomedical Research, Chennai, India. (E-mail: sapthagiri.ece@gmail.com).


Cite: Venkatesh Mahadevan, Sapthagirivasan V, "Information Processing of Medical Images for the Detection of Osteoporosis in Hip Region of Interest," International Journal of Innovation, Management and Technology vol. 1, no. 5, pp. 516-520, 2010.

Copyright © 2010-2020. International Journal of Innovation, Management and Technology. All rights reserved.
E-mail: ijimt@ejournal.net