Adaptação de metodologia de segmentação de imagens para extração vascular

Abstract

Using the arteriography examination, it is possible to check for abnormalities in the blood vessels and diseases such as stroke, stenosis, bleeding and especially in the diagnosis of brain death in critical cases. Brain death can only be diagnosed when there is a complete interruption of all brain functions and, therefore, of the blood flow. During the examination, there may be some interference in the sensors, such as environmental factors, poor equipment maintenance, patient movement, among other interferences, which can directly affect the noise produced in the angiography images. On the other hand, images by synchrotron tomography (SR-PCT - Synchrotron Radiation Phase Contrast Tomography) are used for microstructure analysis, such as pre-clinical studies of small vascular networks. Therefore, the present work aims to adapt a process of segmentation and vascular extraction created for SR-PCT images in arteriography images. Thus, the segmentation capacity of the developed algorithm for microvascular segmentation will be extended to aid in the detection and diagnosis of brain death situations in human patients