Osteoporosis Prediction for Trabecular Bone using Machine Learning: A Review

Computers, Materials & Continua (CMC), 2021, Vol. 67, No. 1

17 Pages Posted: 23 Mar 2021

See all articles by Marrium Anam

Marrium Anam

Government College University

Vasaki a/p Ponnusamy

Tunku Abdul Rahman University (UTAR)

Muzammil Hussain

University of Management and Technology (UMT), Pakistan

Muhammad Waqas Nadeem

Tunku Abdul Rahman University (UTAR)

Mazhar Javed Awan

Department of Software Engineering, University of Management and Technology, Lahore, Pakistan

Hock Guan Goh

Tunku Abdul Rahman University (UTAR)

Sadia Qadeer

University of Management and Technology, Lahore

Date Written: January 12, 2021

Abstract

Trabecular bone holds the utmost importance due to its significance regarding early bone loss. Diseases like osteoporosis greatly affect the structure of the Trabecular bone which results in different outcomes like high risk of fracture. The objective of this paper is to inspect the characteristics of the Trabecular Bone by using the Magnetic Resonance Imaging (MRI) technique. These characteristics prove to be quite helpful in studying different studies related to Trabecular bone such as osteoporosis. The things that were considered before the selection of the articles for the systematic review were language, research field, and electronic sources. Only those articles written in the English language were selected as it is the most prominent language used in scientific, engineering, computer science, and biomedical researches. This literature review was conducted on the articles published between 2006 and 2020. A total of 62 research papers out of 1050 papers were extracted which were according to our topic of review after screening abstract and article content for the title and abstract screening. The findings from those researches were compiled at the end of the result section. This systematic literature review presents a comprehensive report on scientific researches and studies that have been done in the medical area concerning trabecular bone.

Keywords: Magnetic resonance imaging; high resolution; trabecular bone (TB); bone structure; machine learning

Suggested Citation

Anam, Marrium and Ponnusamy, Vasaki a/p and Hussain, Muzammil and Nadeem, Muhammad Waqas and Javed Awan, Mazhar and Goh, Hock Guan and Qadeer, Sadia, Osteoporosis Prediction for Trabecular Bone using Machine Learning: A Review (January 12, 2021). Computers, Materials & Continua (CMC), 2021, Vol. 67, No. 1, Available at SSRN: https://ssrn.com/abstract=3786263

Marrium Anam

Government College University

Lower Mall Road
Lahore, Punjab 54000
Pakistan

Vasaki a/p Ponnusamy (Contact Author)

Tunku Abdul Rahman University (UTAR) ( email )

Sungai Long Campus Lot PT 21144
Bandar Sg. Long, Cheras, Selangor D.E.,
Bandar Sungai Long, 43000
Malaysia

Muzammil Hussain

University of Management and Technology (UMT), Pakistan

Johar Town - Phase 1
Lahore, Punjab 54770
Pakistan

Muhammad Waqas Nadeem

Tunku Abdul Rahman University (UTAR)

Sungai Long Campus Lot PT 21144
Bandar Sg. Long, Cheras, Selangor D.E.,
Bandar Sungai Long, 43000
Malaysia

Mazhar Javed Awan

Department of Software Engineering, University of Management and Technology, Lahore, Pakistan ( email )

Johar Town - Phase 1
Lahore, Punjab 54770
Pakistan

Hock Guan Goh

Tunku Abdul Rahman University (UTAR)

Sungai Long Campus Lot PT 21144
Bandar Sg. Long, Cheras, Selangor D.E.,
Bandar Sungai Long, 43000
Malaysia

Sadia Qadeer

University of Management and Technology, Lahore

Pakistan

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