TY - JOUR ID - 42697 TI - MRI Image Processing Based on Fractal Analysis JO - Asian Pacific Journal of Cancer Prevention JA - APJCP LA - en SN - 1513-7368 AU - Marusina, Mariya Yakovlevna AU - Mochalina, Alexandra Pavlovna AU - Frolova, Ekaterina Pavlovna AU - Satikov, Valentin AU - Barchuk, Anton Alexeyevich AU - Kuznetsov, Vladimir Igorevich AU - Gaidukov, Vadim Sergeevich AU - Tarakanov, Sergey Aleksandrovich AD - ITMO University AD - N.N. Petrov Research Institute of Oncology of Ministry of Health of the Russian Federation AD - Cardio-patrol LLC Y1 - 2017 PY - 2017 VL - 18 IS - 1 SP - 51 EP - 55 KW - Computer aided diagnosis KW - cancer KW - fractal analysis KW - MRI KW - Screening DO - 10.22034/APJCP.2017.18.1.51 N2 -   Background: Cancer is one of the most common causes of human mortality, with about 14 million new cases and 8.2 million deaths reported in in 2012. Early diagnosis of cancer through screening allows interventions to reduce mortality. Fractal analysis of medical images may be useful for this purpose. Materials and Methods: In this study, we examined magnetic resonance (MR) images of healthy livers and livers containing metastases from colorectal cancer. The fractal dimension and the Hurst exponent were chosen as diagnostic features for tomographic imaging using Image J software package for image processings FracLac for applied for fractal analysis with a 120x150 pixel area. Calculations of the fractal dimensions of pathological and healthy tissue samples were performed using the box-counting method . Results: In pathological cases (foci formation), the Hurst exponent was less than 0.5 (the region of unstable statistical characteristics). For healthy tissue, the Hurst index is greater than 0.5 (the zone of stable characteristics). Conclusions: The study indicated the possibility of employing fractal rapid analysis for the detection of focal lesions of the liver. The Hurst exponent can be used as an important diagnostic characteristic for analysis of medical images. UR - https://journal.waocp.org/article_42697.html L1 - https://journal.waocp.org/article_42697_c492c8f545d1f813777d734490175488.pdf ER -