High resolution image processing and CT perfusion imaging detection in patients with cerebral hemorrhage based on embedded system

摘要

Embedded web medical system in the current study, using the CT image data propose an algorithm for automatic detection of Cerebral Hemorrhage. Tissue classification, the pixel is based on the probabilistic model that is classified as abnormal tissue segments according to the posterior probability normal or maximum. The first dimension is based on pixel intensity, wherein the two-dimensional pixel space is represented, and the second relates to a pixel position in the radial direction. Development of embedded web server for health care system. The entire database is stored in the main server. The unit writes patient information to smartcards. Patient information generally comprises patient identifying data, test result, diagnosis information, as well as diagnosis result. CT images obtained from the blood flow before the arrival of contrast perfusion image of a profiling process. The algorithm is carried out in response to each case described by comparing the complete image to the radiologist. If the assumption is verified perfusion map any find the right position, and description of their prognosis, however, in the case of exercise, streak artifacts will not be detected at the same volume and bolus.