Brain Ventricle Detection Using Hausdorff Distance

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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