Please use this identifier to cite or link to this item:
Title: Identification and segmentation of the central sulcus from human brain MR image
Authors: ZUO WEI
Keywords: Central Sulcus, MRI, Segmentation, neuroinformatics, human brain, histogram
Issue Date: 10-Oct-2004
Source: ZUO WEI (2004-10-10). Identification and segmentation of the central sulcus from human brain MR image. ScholarBank@NUS Repository.
Abstract: This thesis presents a knowledge-driven algorithm to identify and segment the central sulcus (CS) from human brain MR images. The dataset is reformatted along the anterior and posterior commissures (AC-PC) plane first. Then, the 3D region within the two coronal planes passing through the AC and PC is defined as the region of interest (ROI) to search for all sulci. The CS is the sulcus with the largest volume within the ROI. Together with the sulci, grey matter (GM) is included for the region growing in order to deal with the partial volume effect. The GM is removed through skeletonization. Experimental results are given.
Appears in Collections:Master's Theses (Open)

Show full item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
Zuowei Thesis Fianl Version.pdf2.07 MBAdobe PDF



Page view(s)

checked on Dec 18, 2017


checked on Dec 18, 2017

Google ScholarTM


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.