Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/14386
Title: Generalized regional disorder-sensitive-weighting scheme for 3D neuroimaging retrieval
Authors: Liu, S
Cai, W
Wen, L
Eberl, S
Fulham, M
Feng, D
Keywords: Brain
Content-based retrieval
Data analysis
Diseases
Image retrieval
Medical disorders
Medical image processing
Neurophysiology
Issue Date: 2011
Publisher: IEEE
Source: 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC, August 30 2011-September 3 2011, Boston, MA, p. 7009-7012 How to cite?
Abstract: 3D functional neuroimaging is used in the diagnosis and management of neurological disorders. The efficient management and analysis of these large imaging datasets has prompted research in the field of content-based image retrieval. In this context, our generalized regional disorder-sensitive-weighting (DSW) scheme gives greater weight to brain regions affected by the diseases than regions that are relatively spared. We used two DSW matrices; one matrix is based on the occurrence maps that highlight abnormal functional regions; the other is based on the regional Fisher discriminant ratio. Our results suggest that our DSW matrices enhance neuroimaging data retrieval and provide a flexible weighting solution for the clinical analysis of different types of neurological disorders.
URI: http://hdl.handle.net/10397/14386
ISBN: 978-1-4244-4121-1
978-1-4244-4122-8 (E-ISBN)
ISSN: 1557-170X
DOI: 10.1109/IEMBS.2011.6091772
Appears in Collections:Conference Paper

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

6
Last Week
0
Last month
Citations as of Nov 15, 2017

Page view(s)

38
Last Week
1
Last month
Checked on Nov 19, 2017

Google ScholarTM

Check

Altmetric



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