Citation

Sim, Kok Swee and Nia, Mohsen Esmaeili and Tso, Chih Ping and Kho, Desmond Teck Kiang (2016) Brain Ventricle Detection Using Hausdorff Distance. In: Emerging Trends in Applications and Infrastructures for Computational Biology, Bioinformatics, and Systems Biology. A volume in Emerging Trends in Computer Science and Applied Computing . Elsevier Inc., pp. 523-531. ISBN 978-0-12-804203-8

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Abstract

The brain ventricular system can be often affected by different kinds of brain lesions. Using Hausdorff distance is a simple and effective method to detect various brain structures. In this chapter we develop a model to detect the ventricles using Hausdorff distance. The model is first generated using the boundary values of a ventricle. An image set of brain scans is produced, and the images are then compared with the model using the Hausdorff distance.

Item Type:	Book Section
Uncontrolled Keywords:	Brain ventricles; Hausdorff distance; Computed tomography
Subjects:	T Technology > TA Engineering (General). Civil engineering (General)
Divisions:	Faculty of Engineering and Technology (FET)
Depositing User:	Ms Rosnani Abd Wahab
Date Deposited:	20 Nov 2017 11:57
Last Modified:	20 Nov 2017 12:04
URII:	http://shdl.mmu.edu.my/id/eprint/6493

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