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.
Original language | English |
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Title of host publication | 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10 |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Pages | 5657-5660 |
Number of pages | 4 |
ISBN (Print) | 9781424441235 |
DOIs | |
Publication status | Published - 1 Dec 2010 |
Externally published | Yes |
Event | 2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10 - Buenos Aires, Argentina Duration: 31 Aug 2010 → 4 Sept 2010 |
Conference
Conference | 2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10 |
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Country/Territory | Argentina |
City | Buenos Aires |
Period | 31/08/10 → 4/09/10 |