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Title: Localized functional neuroimaging retrieval using 3D discrete curvelet transform
Authors: Liu, S
Cai, W
Wen, L
Eberl, S
Fulham, M
Feng, D
Issue Date: 2011
Source: 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, March 30 2011-April 2 2011, Chicago, IL, p. 1877-1880
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.
Keywords: keywords: {3D digital curvelet transform
Brain imaging
Functional imaging
Localized retrieval
Publisher: IEEE
ISBN: 978-1-4244-4127-3
978-1-4244-4128-0 (E-ISBN)
ISSN: 1945-7928
DOI: 10.1109/ISBI.2011.5872774
Appears in Collections:Conference Paper

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