The Evaluation of Diffusion-Weighted MR Imaging Damage Area Analysis for Patients with Acute Infarction Stroke

• Main Authors: Nieh Yi-Hsin, 聶伊辛
• Other Authors: Liu Hong-Chih
• Format: Others
• Language: zh-TW
• Published: 2006
• Online Access: http://ndltd.ncl.edu.tw/handle/nug3s4

碩士 === 元培科學技術學院 === 影像醫學研究所 === 95 === Diffusion-weighted MR Imaging is the most important clinical tools for diagnosis of acute brain infraction. This research takes advantage of all sorts of different image analysis technology that direct to brain infraction images of Magnetic Resonance proceed dispose, and automatization technology precise brain tissue damage area to replace artificial manual trouble and not precise. In the study, five different edge detection algorithms ( namely Roberts algorithm, Sobel algorithm, Laplacian algorithm, Marr-Hildreth algorithm and Canny algorithm ) have been applied as preprocessing for brain infraction outlining detection. Among all these algorithms, Canny algorithm result and real brain tissue damage region inosculate highest, and it cans precise trace brain infraction area and normal brain tissue. Canny algorithm with doctors’ artificial manual depiction brain infarction area, Canny algorithm's dependable degree and definition than artificial style to rapidly right again. Therefore, the Canny algorithm eventually achieve the best outline contour. Brain tissue damage area compare for Canny algorithm and doctor’s manual depiction relationship. The result show Canny algorithm is dependable and precise than artificial style and this algorithm advantage of can debase human factor different result in area. The finally, seriously level classification, two-dimensional sections and three-dimensional image reconstruction technique, these is able to display damage volume and damage area in brain tissue. To inquire into damage area and seriously level classification, it’ll is able to supply clinical medically in infarction stroke consultation and treatment basis.