Automated segmentation of tumours in MRI brain scans

Conference paper

Hasan, A, Meziane, F. and Khadim, M 2016. Automated segmentation of tumours in MRI brain scans. 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016). Rome, Italy 21 - 23 Feb 2016 SCITEPRESS - Science and Technology Publications.
AuthorsHasan, A, Meziane, F. and Khadim, M
TypeConference paper
Abstract

The research reported in this paper concerns the development of a novel automated algorithm to identify and
segment brain tumours in MRI scans. The input is the patient's scan slices and the output is a subset of the
slices that includes the tumour. The proposed method is called Bounding 3D Box Based Genetic Algorithm
(BBBGA) and is based on the use of Genetic Algorithm (GA) to search for the most dissimilar regions
between the left and right hemispheres of the brain. The process involves randomly generating a hundred of
3D boxes with different sizes and locations in the left hemisphere of the brain and compared with the
corresponding 3D boxes in the right hemisphere of the brain through the objective function. These 3D boxes
are moved and updated during the iterations of the GA towards the region of maximum dissimilarity between
the two hemispheres which represent the approximate position of the tumour. The dataset includes 88
pathological patients provided by the MRI Unit of Al-Kadhimiya Teaching Hospital in Iraq. The achieved
accuracy of the BBBGA and 3D segmentation of the tumour were 95% and 90% respectively.

KeywordsBounding 3D box based genetic algorithm; Magnetic resonance scanning; Mid-sagittal plane; Principal components analysis
Year2016
Conference9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016)
JournalBIOIMAGING 2016 - 3rd International Conference on Bioimaging, Proceedings; Part of 9th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2016
PublisherSCITEPRESS - Science and Technology Publications
Web address (URL)http://www.biostec.org/DoctoralConsortium.aspx
Journal citationVol 2
ISBN978-989758170-0
Web address (URL) of conference proceedingshttps://dblp.org/db/conf/biostec/bioimaging2016.html
Output statusPublished
Publication datesFeb 2016
Publication process dates
Deposited05 Jun 2023
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