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2007
IEEE

fMRI Brain Image Retrieval Based on ICA Components

10 years 5 months ago
fMRI Brain Image Retrieval Based on ICA Components
This manuscript proposes a retrieval system for fMRI brain images. Our goal is to find a similaritymetric to enable us to support queries for “similar tasks” for retrieval on a large collection of brain experiments. The system uses a novel similarity measure between the result of probabilistic independent component analysis (PICA) of brain images. Specifically, the times series of an fMRI dataset will be represented using a number of ICA components as high level taskrelated features. The similarity between two datasets is the value of the maximum weight bipartite matching defined on the component-wise similarities. The component-wise similarities are calculated based on the size of the overlap between the “highly activated” regions in the corresponding activation maps. We evaluated the performance of the proposed method on a moderate size fMRI image database with considerable variety. The ICA-based component selection in combination with bipartite matching similarity measur...
Bing Bai, Paul B. Kantor, Ali Shokoufandeh, Debora
Added 02 Jun 2010
Updated 02 Jun 2010
Type Conference
Year 2007
Where ENC
Authors Bing Bai, Paul B. Kantor, Ali Shokoufandeh, Deborah Silver
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