White-Matter Lesion Segmentation In Brain Mri Using Adaptive Trimmed Mean Approach

Ong , Kok Haur (2011) White-Matter Lesion Segmentation In Brain Mri Using Adaptive Trimmed Mean Approach. Masters thesis, Universiti Sains Malaysia.

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Abstract

White Matter (WM) lesions are diffuse white matter abnormalities, that appear as hyperintense (bright) regions in cranial Magnetic Resonance Imaging (MRI). WM lesions are often observed in older population and are important indicators of stroke, multiple sclerosis, dementia and other brain-related disorders. Manual detection of WM lesions is laborious and the currently adopted visual scoring approaches for lesion grading is very subjective. In this thesis, a new approach for automated WM Lesions Segmentation is presented. In the proposed approach, the presence of WM lesions is detected as outliers in the intensity distribution of the Fluid Attenuated Inversion Recovery (FLAIR) MR images using an Adaptive Outlier Detection technique.

Item Type:	Thesis (Masters)
Subjects:	Q Science > QA Mathematics > QA75.5-76.95 Electronic computers. Computer science
Divisions:	Pusat Pengajian Sains Komputer (School of Computer Sciences) > Thesis
Depositing User:	ASM Ab Shukor Mustapa
Date Deposited:	03 Oct 2018 03:00
Last Modified:	12 Apr 2019 05:26
URI:	http://eprints.usm.my/id/eprint/42262

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