JIP_V2_N1_RP3 S. Jayachitra M. Usha Journal on Image Processing 2349-6827 2 1 14 18 Intercept Based Algorithm, Computed Tomography (CT), Trabecular Bone (TB) Thickness Osteoporosis is a bone disease affecting the bone structure and strength and raising the risk of fractures. Osteoporosis is a bone condition that makes bones thinner and more fragile because of reduced bone density. Osteoporosis may be diagnosed directly through the use of a bone scan that measures bone mineral density (BMD). The micro-architectural quality of Trabecular bone is an important factor of bone quality for evaluating fracture risks under clinical conditions. A new algorithm is implemented for computing TB thickness at a low resolution which is achievable in IN-VIVO images. Here the authors have proposed intercept based algorithm to compute its thickness, and robustness to bone strength. Through this algorithm, the true axis of an object orthogonally intersects a minimum intercept line. By calculating centroids of an image, the thickness is calculated. Detected Image can be classified through artificial neural network classifier. January - March 2015 Copyright © 2015 i-manager publications. All rights reserved. i-manager Publications http://www.imanagerpublications.com/Article.aspx?ArticleId=3263