Paper
15 May 2003 Fuzzy Region Growing of fMRI Activation Areas
Rodrigo A. Vivanco, Nicolino J. Pizzi
Author Affiliations +
Abstract
Conventional analysis of fMRI responses in neuroimaging experiments is typically voxel-wise, i.e. independent of spatial neighbourhood information. However, valid responses are likely to be spatially clustered and connected in 3D space. Identifying spatial relations is commonly considered a pre-processing step, isotropic Gaussian filtering for noise reduction for example. Current post-processing methods consider spatial information but not temporal information; once an activation map is obtained, voxels that do not have a sufficient number of spatial neighbors are simply removed. This paper describes how we have successfully incorporated fuzzy region growing into EvIdent®, an fMRI data analysis application. The method uses spatial-temporal information to enhance spatially connected temporally related activation regions.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Rodrigo A. Vivanco and Nicolino J. Pizzi "Fuzzy Region Growing of fMRI Activation Areas", Proc. SPIE 5032, Medical Imaging 2003: Image Processing, (15 May 2003); https://doi.org/10.1117/12.480176
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Functional magnetic resonance imaging

Fuzzy logic

Brain

Data analysis

Neuroimaging

Algorithm development

Analytical research

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