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GETool software tool for geometric l...

Ghias, Shoaib Ahmed.

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GETool software tool for geometric localization of cortical abnormalities in epileptic children.

Record Type:	Electronic resources : Monograph/item
Title/Author:	GETool software tool for geometric localization of cortical abnormalities in epileptic children./
Author:	Ghias, Shoaib Ahmed.
Description:	130 p.
Notes:	Source: Masters Abstracts International, Volume: 45-02, page: 0911.
Contained By:	Masters Abstracts International45-02.
Subject:	Engineering, Biomedical. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1439712
ISBN:	9780542985867

GETool software tool for geometric localization of cortical abnormalities in epileptic children.
Ghias, Shoaib Ahmed.

GETool software tool for geometric localization of cortical abnormalities in epileptic children. - 130 p.

Source: Masters Abstracts International, Volume: 45-02, page: 0911.

Thesis (M.S.)--Wayne State University, 2007.

This thesis presents GETool, a new software that allows objective localization of cortical abnormalities in children who are being considered for epilepsy surgery. Muzik and Draghici have proposed the geometric parcellation approach to detect epileptic foci. We present a novel method of geometric parcellation for the non-geometric cortical surface. The method involves performing parcellation on a sphere which is then mapped onto the brain surface. This gives us standardized, homotopic, non-overlapping cortical regions. The PET concentration in these cortical regions is calculated for a group of normal adults and the patient using a variant of the normal fusion approach. Histograms are obtained which characterize the tracer distribution at specific cortical locations. We determine the difference area between the patient and the mean histogram of the group of normal adults. The functional abnormality of a cortical region of the patient at a given location and resolution level can be detected based on the difference area. We present the validation results of geometric parcellation using the gold standard of subdural EEG. GETool provides objective definition of the size and location of unilateral and bilateral cortical abnormalities and provides guidance in the placement of subdural EEG grids.

ISBN: 9780542985867Subjects--Topical Terms:

1017684
Engineering, Biomedical.

GETool software tool for geometric localization of cortical abnormalities in epileptic children.
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100 1 $a Ghias, Shoaib Ahmed. $3 1923279
245 1 0 $a GETool software tool for geometric localization of cortical abnormalities in epileptic children.
300 $a 130 p.
500 $a Source: Masters Abstracts International, Volume: 45-02, page: 0911.
500 $a Adviser: Sorin Draghici.
502 $a Thesis (M.S.)--Wayne State University, 2007.
520 $a This thesis presents GETool, a new software that allows objective localization of cortical abnormalities in children who are being considered for epilepsy surgery. Muzik and Draghici have proposed the geometric parcellation approach to detect epileptic foci. We present a novel method of geometric parcellation for the non-geometric cortical surface. The method involves performing parcellation on a sphere which is then mapped onto the brain surface. This gives us standardized, homotopic, non-overlapping cortical regions. The PET concentration in these cortical regions is calculated for a group of normal adults and the patient using a variant of the normal fusion approach. Histograms are obtained which characterize the tracer distribution at specific cortical locations. We determine the difference area between the patient and the mean histogram of the group of normal adults. The functional abnormality of a cortical region of the patient at a given location and resolution level can be detected based on the difference area. We present the validation results of geometric parcellation using the gold standard of subdural EEG. GETool provides objective definition of the size and location of unilateral and bilateral cortical abnormalities and provides guidance in the placement of subdural EEG grids.
590 $a School code: 0254.
650 4 $a Engineering, Biomedical. $3 1017684
650 4 $a Biology, Bioinformatics. $3 1018415
650 4 $a Computer Science. $3 626642
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690 $a 0715
690 $a 0984
710 2 0 $a Wayne State University. $3 975058
773 0 $t Masters Abstracts International $g 45-02.
790 1 0 $a Draghici, Sorin, $e advisor
790 $a 0254
791 $a M.S.
792 $a 2007
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1439712