Brain segmentation based on region growing using T2- weight MRI image / Nurbaity Sabri

Sabri, Nurbaity (2010) Brain segmentation based on region growing using T2- weight MRI image / Nurbaity Sabri. Degree thesis, Universiti Teknologi Mara (UiTM).

Abstract

In this new technology, there are many image acquisitions that are available, which produce an image. The scientist or doctor who uses this device as part of their diagnosis may face a problem especially with the image produce by these machine. Most of the researcher needs a data of brain for further research in brain (Kapur, 1995). Therefore, brain extraction or skull stripping is important in their research. The objectives of this project are to extract brains from non-brain tissue using region growing technique on T2-MRI brain image, to develop and test this prototype. The scope of this prototype is T2-weighted image with axial orientation. The experiment results show the result of brain segmentation for female 85% and male 86%. In the future, this prototype need enhancement on the seed selection and multiple number of seed to produce much better result.

Metadata

Item Type: Thesis (Degree)
Creators:
Creators
Email / ID Num.
Sabri, Nurbaity
UNSPECIFIED
Contributors:
Contribution
Name
Email / ID Num.
Thesis advisor
Jamil, Nursuriati
UNSPECIFIED
Subjects: R Medicine > RJ Pediatrics > Examination. Diagnosis
Divisions: Universiti Teknologi MARA, Shah Alam > Faculty of Computer and Mathematical Sciences
Programme: Bachelor Of Science
Keywords: MRI, Brain, Weight
Date: 2010
URI: https://ir.uitm.edu.my/id/eprint/64291
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