MR image processing : segmentation of the brain in MRI
Accurate and fully automatic segmentation of brain from magnetic resonance (MR)scans is a challenging problem that has received an enormous amount of attention lately. In this dissertation, we present a robust fully automatic method for segmenting the brain from head magnetic resonance (MR)images. T...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Thesis |
| Published: |
2008
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/10356/4633 |
| _version_ | 1826122336790642688 |
|---|---|
| author | Li, Jia. |
| author2 | Song, Qing |
| author_facet | Song, Qing Li, Jia. |
| author_sort | Li, Jia. |
| collection | NTU |
| description | Accurate and fully automatic segmentation of brain from magnetic resonance (MR)scans is a challenging problem that has received an enormous amount of attention lately. In this dissertation, we present a robust fully automatic method for segmenting the brain from head magnetic resonance (MR)images. This method works well even in the presence of radio frequency (RF) in homogeneities. It is a combination of several existing image processing techniques such as anisotropic filters and Binary morphology. |
| first_indexed | 2024-10-01T05:46:51Z |
| format | Thesis |
| id | ntu-10356/4633 |
| institution | Nanyang Technological University |
| last_indexed | 2024-10-01T05:46:51Z |
| publishDate | 2008 |
| record_format | dspace |
| spelling | ntu-10356/46332023-07-04T15:57:41Z MR image processing : segmentation of the brain in MRI Li, Jia. Song, Qing School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation Accurate and fully automatic segmentation of brain from magnetic resonance (MR)scans is a challenging problem that has received an enormous amount of attention lately. In this dissertation, we present a robust fully automatic method for segmenting the brain from head magnetic resonance (MR)images. This method works well even in the presence of radio frequency (RF) in homogeneities. It is a combination of several existing image processing techniques such as anisotropic filters and Binary morphology. Master of Science (Computer Control and Automation) 2008-09-17T09:55:39Z 2008-09-17T09:55:39Z 2004 2004 Thesis http://hdl.handle.net/10356/4633 Nanyang Technological University application/pdf |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation Li, Jia. MR image processing : segmentation of the brain in MRI |
| title | MR image processing : segmentation of the brain in MRI |
| title_full | MR image processing : segmentation of the brain in MRI |
| title_fullStr | MR image processing : segmentation of the brain in MRI |
| title_full_unstemmed | MR image processing : segmentation of the brain in MRI |
| title_short | MR image processing : segmentation of the brain in MRI |
| title_sort | mr image processing segmentation of the brain in mri |
| topic | DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation |
| url | http://hdl.handle.net/10356/4633 |
| work_keys_str_mv | AT lijia mrimageprocessingsegmentationofthebraininmri |