| Author: | Mak, Chi-chuen |
| Title: | A study of MRI brain image segmentation |
| Degree: | M.Sc. |
| Year: | 2000 |
| Subject: | Brain -- Imaging Magnetic resonance imaging Hong Kong Polytechnic University -- Dissertations |
| Department: | Multi-disciplinary Studies Jockey Club Rehabilitation Engineering Centre |
| Pages: | ii, 68 leaves : ill. ; 30 cm |
| Language: | English |
| Abstract: | The report summarises certain techniques that have been employed in segmentation of MRI brain images and labeling of the segmented objects, so as to identify the different parts of a human brain, for example, white matter, gray matter, cerebrospinal fluid, etc. These techniques include edge detection, watershed transform, fuzzy C-mean clustering, and Markovian relaxation. Many of these techniques are coming from digital image processing researches, and have been widely applied in different areas. Techniques used in labeling of segmented images are also described, especially Markovain relaxation. Mathematical theory behind some of the techniques is described. Many of which are or have been converted into algorithms and programs. A brief review of past studies of MRI brain segmentation is provided. In the last part of the project, case studies of which certain approaches have been proposed are devoted to application of some of these techniques. The MATLAB platform has been used as the programming tools for realization of these techniques and algorithms. The application of this project could be extended to brain tissue detection and registration, brain trauma location and brain image specification and archiving. |
| Rights: | All rights reserved |
| Access: | restricted access |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| b15289205.pdf | For All Users (off-campus access for PolyU Staff & Students only) | 2.36 MB | Adobe PDF | View/Open |
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