A new approach for split renal function evaluation of glomerular filtration rate, perfusion and plasma flow by numerical analysis of 3D MSCT-based nodels
Marusina M.Ya., Karaseva E.A.
| Purpose. To develop methods for evaluating the structure of tissues on medical images Materials and methods. The ImageJ software package, FracLac plugin for fractal analysis and data from the open bank of medical images of DICOM format were used. The results were processed by statistical methods and texture analysis methods; the spatial correlation of pix-els is analyzed with gray level co-occurrence matrix method. To assess the structure of image tissues, a fractal analysis and the Hurst index were used. |
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Results. It is proved that the value of the Hurst index can be used as an important diagnostic feature; the use of the fractal parameter SFR is justified. New methods for using standard fractal functions and the GLCM method for analyzing MRI images are considered. Conclusion. The possibility of creating a fractal rapid analysis for the presence of fo-cal lesions was studied. The results of the study indicate significant differences in the fractal dimension and the Hurst index. It is established that the value of the Hurst index can be used as an important diagnostic feature. The fractal parameter SFR, designed to compensate the variability of tumor dimensions, was investigated. The theoretical advantage of this pa-rameter was experimentally confirmed on a small sample by an independent prognostic characteristic in comparison with the standard fractal functions and the GLCM method in the analysis of MR images.
Keywords: radiology, cancer, fractal analysis, Hearst coefficient, gray level co-occurrence matrix.
Corresponding author: Karaseva E.A., e-mail: Этот e-mail адрес защищен от спам-ботов, для его просмотра у Вас должен быть включен Javascript
For citation: Marusina M.Ya., Karaseva E.A. Application of fractal analysis for estimation of structural changes of tissues on MRI images. REJR 2018; 8 (3):107-112. DOI:10.21569/2222-7415-2018-8-3-107-112.
Received: 17.06.18 Accepted:06.07.18