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Information × Registration Number 0305U005763, 0101U003213 , R & D reports Title To study characteristics of traced data of medical image during malignant process by algorithms of nonlinear dynamics. popup.stage_title Вивчення детермінованого хаосу медичного зображення при злоякісних процесах на клітинному рівні у хворих на меланому шкіри та злоякісні лімфоми Head Оrel V. E., Registration Date 23-12-2005 Organization Ukrainian Research Institute of Oncology and Radiology popup.description2 Object of study – the patients with malignant skin melanoma and malignant lymphomas, medical image, time signals of blood emission. Objective – to examine deterministic chaos of medical image in malignant processes. Methods of study – cytological, morphological, physico-chemical, physoco-mathematical. Instruments – light digital microscope Axioskop 40 (ZEISS, Germany), light microscope Polyvar-2 (Reichert, Austria), electron microscope JEOL-100B (Jeol, Japan), analyzer of mechanoemission TPA-3 (Ukraine), chemiluminometer CHLM1C-01 (Ukraine), PC. Non-linear analysis of digital images was performed on the basis of estimation of irregularity of contours and indices of heterogenity of digital images of tumor surfaces, cells and nucleus. For the estimation of deterministic quantum chaos in signals emission of blood methods of spectral Furie analysis and non-linear dynamics using the parameter of spread of phase trajectory were used. Characteristic feature in malignant skin melanoma as compared with healthy people was weakening of deterministic chaos and increase of the processes of stochastic (casual) behavior at cellular and quantum levels. In patients with malignant non-Hodgkin's lymphomas with big B-cells as compared with the patients with malignant non-Hodgkin's lymphomas with small B-cells on cellular, subcellular and quantum levels (examination mehanoemission of blood) the tendency of increase of stochastic events in appointed chaotic processes has been registered. Field of utility – oncology. Product Description popup.authors popup.nrat_date 2020-04-02 Close