DocumentCode
3405787
Title
Source based morphometry using structural MRI phase images to identify sources of gray matter and white matter relative differences in schizophrenia versus controls
Author
Lai Xu ; Jingyu Liu ; Adal, Tülay ; Calhoun, Vince D.
Author_Institution
MIND Inst., Albuquerque, NM
fYear
2008
fDate
March 31 2008-April 4 2008
Firstpage
533
Lastpage
536
Abstract
We present a novel multivariate approach called source based morphometry (SBM) to study the novel structural MRI phase images and get sources of relative gray matter and white matter differences between patients and healthy controls. SBM considers the information cross brain voxels and provides spatially maximal independent sources about localization of changes. The structural MRI phase images efficiently summarize the relationship that exists between the gray and white matter without having to increase the dimensionality of the problem. SBM was then applied to the phase images. Results identified patient versus control differences in gray matter and white matter for visual-motor cortex as well as other areas. These interesting findings show that SBM is a useful multivariate approach for studying the brain. Moreover, the use of structural MRI phase images to joint gray and white matter together provides a significant advantage.
Keywords
biomedical MRI; brain; medical image processing; brain voxels; gray matter; multivariate approach; schizophrenia; source based morphometry; structural MRI phase images; visual-motor cortex; white matter; Alzheimer´s disease; Automatic control; Brain; Circuits; Image generation; Independent component analysis; Magnetic resonance imaging; Mental disorders; Statistical analysis; Testing; Source based morphometry; gray matter; phase; schizophrenia; white matter;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
Conference_Location
Las Vegas, NV
ISSN
1520-6149
Print_ISBN
978-1-4244-1483-3
Electronic_ISBN
1520-6149
Type
conf
DOI
10.1109/ICASSP.2008.4517664
Filename
4517664
Link To Document