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Image Enhancement and Segmentation Techniques for Detection of Knee Joint Diseases: A Survey

[ Vol. 14 , Issue. 5 ]

Author(s):

Tanzila Saba, Amjad Rehman*, Zahid Mehmood, Hoshang Kolivand and Muhammad Sharif   Pages 704 - 715 ( 12 )

Abstract:


Background: Knee bone diseases are rare but might be highly destructive. Magnetic Resonance Imaging (MRI) is the main approach to identify knee cancer and its treatment. Normally, the knee cancers are detected with the help of different MRI analysis techniques and later image analysis strategies assess these images.

Discussion: Computer-based medical image analysis is getting researcher’s interest due to its advantages of speed and accuracy as compared to traditional techniques. The focus of current research is MRI-based medical image analysis for knee bone disease detection. Accordingly, several approaches for features extraction and segmentation for knee bone cancer are analyzed and compared on benchmark database.

Conclusion: Finally, the current state of the art is investigated and future directions are proposed.

Keywords:

Knee bone disease, knee image analysis, MRI, knee image segmentation, features mining, knee cancers.

Affiliation:

College of Computer and Information Sciences, Prince Sultan University, Riyadh 11586, College of Computer and Information Systems, Al Yamamah University, Riyadh 11512, Department of Software Engineering, University of Engineering and Technology, Taxila-47050, Department of Computer Science, Liverpool John Moores University, Liverpool L3 3AF, Department of Computer Science, COMSATS University Islamabad, Wah Campus

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