Cover Image

Detection of Corpus Collosum using DTI tractograph

Organized by School of Mechatronic Engineering (UniMAP) & co-organized by The Institution of Engineering Malaysia (IEM), 11th - 13th October 2009 at Batu Feringhi, Penang, Malaysia.

Saved in:
Bibliographic Details
Main Author: Mohd Yusof, Baharuddin
Format: Working Paper
Language:English
Published: Universiti Malaysia Perlis 2009
Subjects:
Corpus callosum
Brain
DTI
Tractograph
Biomedical engineering
Cerebral hemispheres
Corpus callosum > Detection system
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/7277
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.unimap-7277
record_format dspace
spelling my.unimap-72772009-11-17T03:47:14Z Detection of Corpus Collosum using DTI tractograph Mohd Yusof, Baharuddin Corpus callosum Brain DTI Tractograph Biomedical engineering Cerebral hemispheres Corpus callosum -- Detection system Organized by School of Mechatronic Engineering (UniMAP) & co-organized by The Institution of Engineering Malaysia (IEM), 11th - 13th October 2009 at Batu Feringhi, Penang, Malaysia. Corpus callosum (CC) is the largest fiber bundle in human brain where it’s connected two cerebral hemispheres. Mainly, these fibers connected homologous cortical areas in nearly mirror-image sites, but a substantial number have heterotopic connections, ending in asymmetrical areas. Corpus collosum act as an integral role in relaying sensory, motor and cognitive information between homologous regions in the two cerebral hemispheres. Using MRI, corpus collosum can be discretely identified at the mid-sagittal level where it crosses the midline and its morphology has been extensively studied. Such studies have shown that the shape of the CC may be related to, handedness and certain disease such as Down’s syndrome. The purpose of this paper is to study whether incorporation of diffusion tensor imaging (DTI) and DTIbased 3D tract information can facilitate the study of anatomical parcellation of intra- corpus collosum structures. The corpus collosum is divided into six sub-regions based on trajectories into subcortical nuclei and the orbital, frontal, parietal, occipital and temporal lobes. 2009-11-13T02:04:51Z 2009-11-13T02:04:51Z 2009-10-11 Working Paper p.1A5 1 - 1A5 4 http://hdl.handle.net/123456789/7277 en Proceedings of the International Conference on Man-Machine Systems (ICoMMS 2009) Universiti Malaysia Perlis
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Corpus callosum
Brain
DTI
Tractograph
Biomedical engineering
Cerebral hemispheres
Corpus callosum -- Detection system
spellingShingle Corpus callosum
Brain
DTI
Tractograph
Biomedical engineering
Cerebral hemispheres
Corpus callosum -- Detection system
Mohd Yusof, Baharuddin
Detection of Corpus Collosum using DTI tractograph
description Organized by School of Mechatronic Engineering (UniMAP) & co-organized by The Institution of Engineering Malaysia (IEM), 11th - 13th October 2009 at Batu Feringhi, Penang, Malaysia.
format Working Paper
author Mohd Yusof, Baharuddin
author_facet Mohd Yusof, Baharuddin
author_sort Mohd Yusof, Baharuddin
title Detection of Corpus Collosum using DTI tractograph
title_short Detection of Corpus Collosum using DTI tractograph
title_full Detection of Corpus Collosum using DTI tractograph
title_fullStr Detection of Corpus Collosum using DTI tractograph
title_full_unstemmed Detection of Corpus Collosum using DTI tractograph
title_sort detection of corpus collosum using dti tractograph
publisher Universiti Malaysia Perlis
publishDate 2009
url http://dspace.unimap.edu.my/xmlui/handle/123456789/7277
_version_ 1643788746606247936
score 13.18916

Similar Items