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Abstract #1437

Automated Seed Points Selection Based Radial-Search Segmentation Method For Sagittal and Coronal View Knee MRI Imaging

Sandeep Panwar Jogi1,2, Rafeek T.1, Sriram Rajan3, Krithika Rangarajan3, Anup Singh1, and Amit Mehndiratta1

1Centre of Biomedical Engineering, Indian Institute of Technology Delhi, New Delhi, India, 2BME, ASET, Amity University Haryana, Gurgaon, India, 3Mahajan Imaging Centre, New Delhi, India

Knee disorders are generally marked in tibio-femoral bone junction. Most of available segmentation techniques use time consuming semi-automatic approach as radial search method, in sagittal view only. However, coronal view MRI Knee images are clinically equal important. Proposed approach automates seed points selection process for the radial search method, which work equally good on both sagittal and coronal view for identification of tibio-femoral junction.

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