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MORPHOLOGICAL ANALYSIS IN THE PROBLEMS OF AUTOMATION OF THE KNEE JOINT IMAGE PROCESSING

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The possibility of automation of the processes of medical diagnostics and quantitative evaluation of anatomical structures by segmentation of magnetic resonance (MR) images is considered. The values of intensity of MR signals from various tissues of the knee joint are analyzed, weak dependence of contrast of signals on external factors is revealed. The algorithm for the segmentation of cartilage and bone structures based on the calculated contrast of tissues is implemented, including threshold processing, morphological analysis, and the delineation of borders by the Canny method. The results are approved by tomograms of different weights (sequences of rapid spin echo, gradient-echo), and can be used for cartilage mapping and 3D joint modeling.

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