Review of brain MRI image segmentation methods

Balafar, Mohd Ali and Ramli, A. R. and Saripan, M. Iqbal and Mashohor, Syamsiah (2010) Review of brain MRI image segmentation methods. Artificial Intelligence Review, 33 (3). pp. 261-274. ISSN 0269-2821

Full text not available from this repository.


Brain image segmentation is one of the most important parts of clinical diagnostic tools. Brain images mostly contain noise, inhomogeneity and sometimes deviation. Therefore, accurate segmentation of brain images is a very difficult task. However, the process of accurate segmentation of these images is very important and crucial for a correct diagnosis by clinical tools. We presented a review of the methods used in brain segmentation. The review covers imaging modalities, magnetic resonance imaging and methods for noise reduction, inhomogeneity correction and segmentation.We conclude with a discussion on the trend of future research in brain segmentation.

Item Type:Article
Keyword:Brain, MRI, Segmentation
Faculty or Institute:Faculty of Engineering
Publisher:Springer Verlag
DOI Number:10.1007/s10462-010-9155-0
ID Code:11346
Deposited By: Anas Yahaya
Deposited On:30 Mar 2011 07:36
Last Modified:30 Mar 2011 07:39

Repository Staff Only: Edit item detail

Document Download Statistics

This item has been downloaded for since 30 Mar 2011 07:36.

View statistics for "Review of brain MRI image segmentation methods"

Universiti Putra Malaysia Institutional Repository

Universiti Putra Malaysia Institutional Repository is an on-line digital archive that serves as a central collection and storage of scientific information and research at the Universiti Putra Malaysia.

Currently, the collections deposited in the IR consists of Master and PhD theses, Master and PhD Project Report, Journal Articles, Journal Bulletins, Conference Papers, UPM News, Newspaper Cuttings, Patents and Inaugural Lectures.

As the policy of the university does not permit users to view thesis in full text, access is only given to the first 24 pages only.