Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/16286
Title: Segmentation of the colon in magnetic resonance images
Authors: PAYET NICOLAS
Keywords: colon segmentation B-snake anisotropic diffusion MR
Issue Date: 28-Aug-2009
Source: PAYET NICOLAS (2009-08-28). Segmentation of the colon in magnetic resonance images. ScholarBank@NUS Repository.
Abstract: The use of magnetic resonance images for virtual colonoscopy is a relatively new method for the prevention of colorectal cancer. Unlike computed tomography, magnetic resonance technology does not use ionizing radiations and offer a good contrast for soft tissues. However, the processing of magnetic resonance images is a very challenging issue due to noise and inhomogeneities. One of the major steps in the processing of images is called segmentation and consists of isolating the colon in images. In this work, we compare two methods for the segmentation of 2D MR images. The first method is based on thresholding algorithms and anisotropic diffusion as a preprocessing step. The second method uses B-snakes. Based on 30 images from two different datasets, we find that both B-snakes and thresholding algorithms give accurate results in94% of the cases. The segmented regions obtained with B-snakes have a more regular aspect than those obtained with thresholding algorithms.
URI: http://scholarbank.nus.edu.sg/handle/10635/16286
Appears in Collections:Master's Theses (Open)

Show full item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
PayetN.pdf3.15 MBAdobe PDF

OPEN

NoneView/Download

Page view(s)

214
checked on Dec 18, 2017

Download(s)

199
checked on Dec 18, 2017

Google ScholarTM

Check


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