Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/33036
Title: A robust volumetric feature extraction approach for 3D neuroimaging retrieval
Authors: Liu, S
Cai, W
Wen, L
Eberl, S
Fulham, M
Feng, D
Keywords: Biomedical MRI
Computerised tomography
Feature extraction
Image retrieval
Medical image processing
Neurophysiology
Positron emission tomography
Issue Date: 2010
Publisher: IEEE
Source: 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), August 31 2010-September 4 2010, Buenos Aires, p. 5657-5660 How to cite?
Abstract: The increased volume of 3D neuroimaging data has created a need for efficient data management and retrieval. We suggest that image retrieval via robust volumetric features could benefit managing these large image datasets. In this paper, we introduce a new feature extraction method, based on disorder-oriented masks, that uses the volumetric spatial distribution patterns in 3D physiological parametric neurological images. Our preliminary results indicate that the proposed volumetric feature extraction approach could support reliable 3D neuroimaging data retrieval and management.
URI: http://hdl.handle.net/10397/33036
ISBN: 978-1-4244-4123-5
ISSN: 1557-170X
DOI: 10.1109/IEMBS.2010.5627900
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