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General Information
    • ISSN: 2301-3559
    • Frequency: Quarterly
    • DOI: 10.18178/LNSE
    • Editor-in-Chief: Prof. Jemal Antidze
    • Executive Editor: Ms. Nina Lee
    • Abstracting/ Indexing: EI (INSPEC, IET), Electronic Journals Library,  Ulrich's Periodicals Directory, International Computer Science Digital Library (ICSDL), ProQuest and Google Scholar.
    • E-mail: lnse@ejournal.net
Prof. Jemal Antidze
I. Vekua Scientific Institute of Applied Mathematics
Tbilisi State University, Georgia
I'm happy to take on the position of editor in chief of LNSE. We encourage authors to submit papers concerning any branch of Software Engineering.

LNSE 2013 Vol.1(2): 194-198 ISSN: 2301-3559
DOI: 10.7763/LNSE.2013.V1.44

Automatic Segmentation of Femur Bone Features and Analysis of Osteoporosis

P. Santhoshini, R. Tamilselvi, and R. Sivakumar
Abstract—This paper mainly focuses on diagnosing the osteoporosis using X-Ray images. Osteoporosis is a metabolic bone disease which is characterized by compromised bone strength predisposing a person in to an increased risk of fracture. It is most common in women after menopause where it is called post menopausal osteoporosis. The condition of Osteoporosis are decrease in the bone density, decrease in the bone strength resulting in fragile bones and susceptibility to fracture. In clinical practice, dual energy X-ray absorptiometry (DEXA) scanning is the most common way of measuring BMD levels and it is the current gold standard for diagnosing and monitoring the osteoporosis. In DEXA scanning, the method of comparing individual BMD measurements to the normal is called the ‘T-score’ system. This project work presents an efficient method to diagnose the osteoporosis by measuring the bone mineral density (BMD) of segmented femur bone parts with the help of X-Rays images and also compare the bone mineral density obtained from the DEXA scan with the density obtained from the conventional Xrays.

Index Terms—Bone mineral density (BMD), dual-energy Xray absorptiometry (DEXA), t-score, osteoporosis.

The authors are with R.M.K Engineering College, Chennai, India (email: santhoshi.pandiyan@gmail.com, tamil_ct@rediffmail.com, rsk.ece@rmkec.ac.in).


Cite: P. Santhoshini, R. Tamilselvi, and R. Sivakumar, "Automatic Segmentation of Femur Bone Features and Analysis of Osteoporosis," Lecture Notes on Software Engineering vol. 1, no. 2, pp. 194-198, 2013.

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