Abstract #4719

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

Rafeek Thaha¹, Sandeep Panwar Jogi^1,2, Sriram Rajan³, Vidur Mahajan³, Vasantha K Venugopal³, Amit Mehndiratta^1,4, Anup Singh^1,4, 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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