20 February 2018 A novel algorithm for osteoarthritis detection in Hough domain
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Background subtraction of knee MRI images has been performed, followed by edge detection through canny edge detector. In order to avoid the discontinuities among edges, Daubechies-4 (Db-4) discrete wavelet transform (DWT) methodology is applied for the smoothening of edges identified through canny edge detector. The approximation coefficients of Db-4, having highest energy is selected to get rid of discontinuities in edges. Hough transform is then applied to find imperfect knee locations, as a function of distance (r) and angle (θ). The final outcome of the linear Hough transform is a two-dimensional array i.e., the accumulator space (r, θ) where one dimension of this matrix is the quantized angle θ and the other dimension is the quantized distance r. A novel algorithm has been suggested such that any deviation from the healthy knee bone structure for diseases like osteoarthritis can clearly be depicted on the accumulator space.
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Sabyasachi Mukhopadhyay, Sabyasachi Mukhopadhyay, Nilanjan Poria, Nilanjan Poria, Rajanya Chakraborty, Rajanya Chakraborty, Sawon Pratiher, Sawon Pratiher, Sukanya Mukherjee, Sukanya Mukherjee, Prasanta K. Panigrahi, Prasanta K. Panigrahi, } "A novel algorithm for osteoarthritis detection in Hough domain", Proc. SPIE 10506, Nanoscale Imaging, Sensing, and Actuation for Biomedical Applications XV, 105061E (20 February 2018); doi: 10.1117/12.2290326; https://doi.org/10.1117/12.2290326


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