Abstract
Neuroimaging is a fundamental component of the neurological diagnosis. The greatly increased volume and complexity of neuroimaging datasets has created a need for efficient image management and retrieval. In this paper, we advance a content-based retrieval framework for 3D functional neuroimaging data based on 3D curvelet transforms. The localized volumetric texture feature was extracted by a 3D digital curvelet transform from parametric image of cerebral metabolic rate of glucose consumption with a set of adaptive disorder-oriented masks for each type of neurological disorder. The results, using 142 clinical dementia studies, show that our proposed approach supports efficient and high performance neuroimaging data retrieval.
Original language | English |
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Title of host publication | 2011 8th IEEE International Symposium on Biomedical Imaging |
Subtitle of host publication | From Nano to Macro, ISBI'11 |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Pages | 1877-1880 |
Number of pages | 4 |
ISBN (Print) | 9781424441280 |
DOIs | |
Publication status | Published - 2 Nov 2011 |
Externally published | Yes |
Event | 2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11 - Chicago, IL, United States Duration: 30 Mar 2011 → 2 Apr 2011 |
Conference
Conference | 2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11 |
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Country/Territory | United States |
City | Chicago, IL |
Period | 30/03/11 → 2/04/11 |
Keywords
- 3D digital curvelet transform
- brain imaging
- functional imaging
- localized retrieval