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Abstract #4719

Automated femoro-tibial cartilage segmentation of OA patients with and without bone abnormality

Rafeek Thaha1, Sandeep Panwar Jogi1,2, Sriram Rajan3, Vidur Mahajan3, Vasantha K Venugopal3, Amit Mehndiratta1,4, Anup Singh1,4, Dharmesh Singh1, and Neha Vats5

1Centre for Biomedical Engineering, Indian Institute of Technology, New Delhi, India, 2Biomedical Engineering, ASET, Amity University Haryana, Gurgaon, India, 3Mahajan Imaging Centre, New Delhi, India, 4Department of Biomedical Engineering, All India Institute of Medical Sciences, New Delhi, India, 5National Institute of Technology, Kurukshetra, India

The study of knee cartilage under subchondral abnormality is important in osteoarthritis (OA) progression studies. However, cartilage segmentation for patients with Bone-Marrow-Edema (BME) lesion, particularly using radial-search based approach, is erroneous. In this study, a framework for automatic segmentation of femoro-tibial cartilage of OA patients with and without bone abnormality, based on modified radial-search approach and T2-map values is developed. A 2D projected view of T2-map and thickness values of cartilage was generated. Proposed method was successfully applied on 23 MRI patient data. Dice-coefficient for cartilage segmentation was ~82% for OA patients with and without BME lesions.

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