Citation

Ramaraj, Kottaimalai and Murugan, Pallikonda Rajasekaran and Wong, Wai Kit and Hossen, Md. Jakir and Thiyagarajan, Arunprasath (2025) Automated Grade Classification of Ankle Osteoarthritis Using Advanced Neural Network Classifier. In: 2025 Multimedia University Engineering Conference, MECON 2025, 21 July 2025 - 23 July 2025, Cyberjaya, Malaysia.

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Abstract

Ankle Osteoarthritis (AOA) is a form of joint degeneration that affects movement and overall quality of daily life, but it is more uncommon compared to knee or hip OA. Ankles joint is composed of three major bones: the tibia (shinbone), fibula (calf bone), and talus (ankle bone). As a result of the disorders' increasing cartilage deterioration, there is bone-on-bone friction and constriction of the joint space, which ultimately results in discomfort and decreased mobility. Prompt detection and classification of AOA using clinical imaging techniques, such as MRI and X-rays, is important for timely treatment and effective therapy. Precisely classifying the different grades of AOA is vital for timely identification and effective therapy selection. Traditional grading schemes depend on radiologists' subjective, inter-reader variability-prone subjective evaluation. The current research suggests a semi-automated method for assessing and rating AOA using MATLAB and Joint Space Width (JSW) assessment. Recognition of edges is used to emphasize bone edges after the raw X-ray picture has been preprocessed employing contrast enhancement and noise reduction procedures. The Euclidean distance within the talus, fibula, and tibia margins can subsequently be measured by individuals by choosing many pairs of points across the intersection region. These measurements are linked to predetermined OA severity classifications conforming to medical norms and normalized to millimeters applying an established metric. In addition, the method estimates the overall OA grade and calculates the average JSW. This method helps radiologists make increasingly precise and predictable findings while also increasing uniformity and lowering variability.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Osteoarthritis (OA), Cartilage damage, Ankle join
Subjects:	R Medicine > RA Public aspects of medicine > RA421-790.95 Public health. Hygiene. Preventive medicine
Divisions:	Faculty of Engineering and Technology (FET)
Depositing User:	Ms Rosnani Abd Wahab
Date Deposited:	17 Mar 2026 07:06
Last Modified:	17 Mar 2026 07:38
URII:	http://shdl.mmu.edu.my/id/eprint/15519

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