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321065

Osteoporosis Detection Using Combined Texture Features of Proximal Femur Radiographs

Article

Last updated: 28 Dec 2024

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Abstract

 This paper presents a computer-aided-detection system of osteoporosis. The proposed technique is implemented and
applied to 79 proximal femur radiographs. A dual-energy xray absorptiometry (DEXA) scan is used to measure T-score
of the images as a justification. Three feature extraction techniques are introduced to describe trabecular pattern
changes in proximal femur recorded: wavelet-based hierarchical pyramid, Gabor filter, and intensity gradient map.
The selected features were utilized in the design and training of support vector machine (SVM) classifier. The accuracy,
sensitivity, and specificity are used to measure the quality of the proposed detection system. The best result and detect
femur bone fractures and osteoporosis were obtained efficiently by using wavelet-based hierarchical approach
combined with Gabor filter, and intensity gradient map features. The proposed system showed superior performance
as compared to other related work.  

DOI

10.21608/mjcis.2019.321065

Keywords

Dual-energy x-ray absorptiometry (DEXA), Bone Mineral Density (BMD), Feature Extraction, Osteoporosis, X-ray imaging

Authors

First Name

Heba

Last Name

Khaled

MiddleName

-

Affiliation

Faculty of Computers and Information, Information Technology Mansoura University, Egypt

Email

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City

-

Orcid

-

First Name

Nagham

Last Name

Mekky

MiddleName

-

Affiliation

Faculty of Computers and Information, Information Technology Mansoura University, Egypt

Email

-

City

-

Orcid

-

First Name

Ahmed

Last Name

Atwan

MiddleName

-

Affiliation

Faculty of Computers and Information, Information Technology Mansoura University, Egypt

Email

atwan@mans.edu.eg

City

-

Orcid

-

First Name

Hassen

Last Name

Soliman

MiddleName

-

Affiliation

Faculty of Computers and Information, Information Technology Mansoura University, Egypt

Email

-

City

-

Orcid

-

Volume

15

Article Issue

2

Related Issue

43866

Issue Date

2019-12-01

Receive Date

2023-10-11

Publish Date

2019-12-01

Page Start

27

Page End

34

Print ISSN

2090-1666

Online ISSN

2090-1674

Article File

MJCIS_Volume 15_Issue 2_Pages 27-34.pdf

PDF . 1.3MB

Link

https://mjcis.journals.ekb.eg/article_321065.html

Detail API

https://mjcis.journals.ekb.eg/service?article_code=321065

Order

321,065

Type

Original Research Articles.

Type Code

1,784

Publication Type

Journal

Publication Title

Mansoura Journal for Computer and Information Sciences

Publication Link

https://mjcis.journals.ekb.eg/

MainTitle

Osteoporosis Detection Using Combined Texture Features of Proximal Femur Radiographs

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Article

Created At

28 Dec 2024