“A Survey On Morphological Analysis And Segmentation Of Menisci From Magnetic Resonance Images”
European Journal of Molecular & Clinical Medicine,
2020, Volume 7, Issue 6, Pages 1683-1691
AbstractNowadays, people around the globe are suffering from various types of musculoskeletal and articular disorders. In recent years, the disease is not only affecting the aging population but also to the younger generation who are lesser than 40 years of age. According to the report of the World Health Organization (WHO), muscular structure and articular disorders are the principal contributors to disability worldwide, with low back pain being the single foremost cause of disability globally . According to the United Nations (UN), 20% of the global population will suffer from musculoskeletal problems by the year 2050. So the Morphological Analysis and Segmentation of human body joints such as knee and spine etc. gain considerable importance in recent days. Some of the measure health problems in the knee joints are meniscal tear and osteoarthritis (OA) etc., which can lead to chronic disabilities. Researchers across the globe are using Manual, Semi-automated and automatic methods for detection of Menisci tears and degeneration in the menisci. This paper surveys the different techniques used for segmentation and detection of menisci tears using Magnetic Resonance Images (MRI).
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