Computer aided analysis of medical image recognition for example of scintigraphy

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The practical application of nuclear medicine demonstrates the continued information deficiency of the algorithms and programs that provide visualization and analysis of medical images. The aim of the study was to determine the principles of optimizing the processing of planar osteostsintigraphy on the basis of сomputer aided diagnosis (CAD) for analysis of texture descriptions of images of metastatic zones on planar scintigrams of skeleton. A computer-aided diagnosis system for analysis of skeletal metastases based on planar scintigraphy data has been developed. This system includes skeleton image segmentation, calculation of textural, histogram and morphometrical parameters and the creation of a training set. For study of metastatic images’ textural characteristics on planar scintigrams of skeleton was developed the computer program of automatic analysis of skeletal metastases is used from data of planar scintigraphy. Also expert evaluation was used to distinguishing ‘pathological’ (metastatic) from ‘physiological’ (non-metastatic) radiopharmaceutical hyperfixation zones in which Haralick’s textural features were determined: autocorrelation, contrast, ‘forth moment’ and heterogeneity. This program was established on the principles of сomputer aided diagnosis researches planar scintigrams of skeletal patients with metastatic breast cancer hearths hyperfixation of radiopharmaceuticals were identified. Calculated parameters were made such as brightness, smoothness, the third moment of brightness, brightness uniformity, entropy brightness. It has been established that in most areas of the skeleton of histogram values of parameters in pathologic hyperfixation of radiopharmaceuticals predominate over the same values in the physiological. Most often pathological hyperfixation of radiopharmaceuticals as the front and rear fixed scintigramms prevalence of brightness and smoothness of the image brightness in comparison with those of the physiological hyperfixation of radiopharmaceuticals. Separate figures histogram analysis can be used in specifying the diagnosis of metastases in the mathematical modeling and interpretation bone scintigraphy. Separate figures histogram analysis can be used in specifying the diagnosis of metastases in the mathematical modeling and interpretation bone scintigraphy.

Keywords: Computer-Aided Diagnostic (CAD-analysis), pattern recognition, planar scintigramms, hyperfixation, radiopharmaceuticals, histogramm, image brightness
Citation in English: Kosykh N.E., Sviridov N.M., Savin S.Z., Potapova T.P. Computer aided analysis of medical image recognition for example of scintigraphy // Computer Research and Modeling, 2016, vol. 8, no. 3, pp. 541-548
Citation in English: Kosykh N.E., Sviridov N.M., Savin S.Z., Potapova T.P. Computer aided analysis of medical image recognition for example of scintigraphy // Computer Research and Modeling, 2016, vol. 8, no. 3, pp. 541-548
DOI: 10.20537/2076-7633-2016-8-3-541-548
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