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3D Medical Image Extraction And Visualization Of The Cerebral Hemorrage

Posted on:2012-06-06Degree:MasterType:Thesis
Country:ChinaCandidate:Y L JiaFull Text:PDF
GTID:2218330374453560Subject:Measuring and Testing Technology and Instruments
Abstract/Summary:PDF Full Text Request
With the improving of the life of the people, cardiovascular and cerebrovascular diseases become one main cause of disease which affect human health, the development of the computer graphics and visualization and the medical imaging join the new blood to the diagnosis of the cardiovascular and cerebrovascular diseases. The extraction and visualization of the Cerebral hemorrhage,which provide more medical information and less error, freed the doctor from the traditional diagnostic method.In view of the noise in the data, smoothing filter is used to remove the noise and contrast enhancement is used to enhancement the contrast of the image, however, the geometric transformation algorithm are designed to provide the multi-angle of view for the medical worker, it set the stage for the extraction and the visualization of the blood.The extraction of the blood edge,which play a critical part on the 3D reconstruction, lay the root for the research of the cerebrovascular and seeking for the parameter of the blood center shaft. In this thesis more algorithms were weighted, region growing algorithm and edge detection based on Sobel operator are used to detection the edge of the cerebrovascular.The vessel axis can reflect well of the vessel direction and the space structure because of it having the same topology and geometrical, however, it can proved the efficiency of the vessel extraction.Multiple scales Gabor filter is used to extract the vessel axis owing to the complicated background and lower contrast of the angiography images, the vessel axis is enhanced while the noise is moved, we can get the maximal response diagram by adjusting the orientation bandwidth and the frequency bandwidth, after that, non-maximal rejection algorithm and threshold segmentation algorithm are adopted to detection the vessel axis.3D reconstruct technology is used to restore the 3D structure of the extracted vessels. The improved moving cubes algorithm is (MC algorithm in short) adopted to plot the 3D vessels and the surface are smoothness without the hole as expected.
Keywords/Search Tags:Cerebral Hemorrage, Image pretreatment, Profile extraction, Axis extraction, 3D reconstruct
PDF Full Text Request
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