DocumentCode :
3105182
Title :
Online Brain Image Database System for Diagnosis of Subtle Brain Injury
Author :
Li, Lin ; Chahal, Dheeraj ; Wang, James Z. ; Eckert, Mark A. ; Lozar, Carl
Author_Institution :
Sch. of Comput., Clemson Univ., Clemson, SC, USA
fYear :
2010
fDate :
18-20 June 2010
Firstpage :
1
Lastpage :
4
Abstract :
Subtle changes in brain tissue that reflect the pathological processes of disorders such as mild cognitive impairment (MCI) are much more difficult to observe on a patient´s magnetic resonance imaging (MRI) scan than those obvious abnormalities such as large strokes or tumors. Thus, it is necessary to develop an automated computer-aided diagnosis (CAD) system which will be more efficient and accurate than the manual and quantitative analysis of functional brain images. In this paper, we present an online human brain image database system with its associated image processing, diagnosis and visualization functions for determination of subtle brain injury. The current system provides the capability of MCI diagnosis which accuracy is 94.1% by using the trained support vector machine (SVM)-based classifier.
Keywords :
biological tissues; biomedical MRI; brain; cognition; data visualisation; image classification; information retrieval; information storage; injuries; medical disorders; medical image processing; psychology; support vector machines; visual databases; CAD system; MCI; MCI diagnosis; MRI scan; SVM-based classifier; brain tissue; computer-aided diagnosis; functional brain image; image processing; magnetic resonance imaging; mild cognitive impairment; online brain image database; pathological process; stroke; subtle brain injury; support vector machine; tumor; visualization; Brain injuries; Computer aided diagnosis; Humans; Image analysis; Image databases; Image processing; Magnetic analysis; Magnetic resonance imaging; Neoplasms; Pathological processes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioinformatics and Biomedical Engineering (iCBBE), 2010 4th International Conference on
Conference_Location :
Chengdu
ISSN :
2151-7614
Print_ISBN :
978-1-4244-4712-1
Electronic_ISBN :
2151-7614
Type :
conf
DOI :
10.1109/ICBBE.2010.5515703
Filename :
5515703
Link To Document :
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