Please use this identifier to cite or link to this item:
Title: Multi-channel brain atrophy pattern analysis in neuroimaging retrieval
Authors: Liu, S
Cai, W
Wen, L
Feng, D
Keywords: Multi-channel analysis
Neuroimaging retrieval
Issue Date: 2013
Publisher: IEEE
Source: 2013 IEEE 10th International Symposium on Biomedical Imaging (ISBI), 7-11 April 2013, San Francisco, CA, p. 202-205 How to cite?
Abstract: The high throughput 3D neuroimaging datasets have posed great challenges for neuroimaging data retrieval. To achieve more accurate neuroimaging retrieval, various content-based retrieval approaches have been proposed. Recent studies showed a tendency of using the localized features extracted from a subset of the brain structures, instead of the global features extracted from whole brain. However, these studies relied heavily on specific pattern analysis techniques or clinical expertise. In this study we proposed a Multi-Channel pattern analysis approach to identify the most discriminative disease-sensitive brain structures for neurodegenerative disorders and thus to enhance neuroimaging retrieval. The preliminary results suggested that the proposed Multi-Channel pattern analysis approach could confidently identify the brain structures with atrophy and further improve the neuroimaging retrieval performance.
ISBN: 978-1-4673-6456-0
ISSN: 1945-7928
DOI: 10.1109/ISBI.2013.6556447
Appears in Collections:Conference Paper

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


Last Week
Last month
Citations as of Aug 17, 2018

Page view(s)

Last Week
Last month
Citations as of Aug 13, 2018

Google ScholarTM



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