Tungaraza, R. F. and Guan, J. and Rolfe, S. and Atmosukarto, I. and Poliakov, A. and Kleinhans, N. M. and Aylward, E. and Ojemann, J. and Brinkley, James F and Shapiro, L. G. (2009) A similarity retrieval method for functional magnetic resonance imaging (fMRI) statistical maps. In: Proc. SPIE 7259, Medical Imaging 2009: Image Processing. 72590E.
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Abstract
We propose a method for retrieving similar fMRI statistical images given a query fMRI image and a database of such images. Our method creates a feature vector for each spatially distinct region within each such image in the database. The similarity between two images is obtained by the summed minimum distance (SMD) of their constituent feature vectors. Results on a dataset of fMRI statistical images from experiments involving three distinct cognitive tasks suggest that this method is able to capture the differences in activation patterns due to differences in the cognitive tasks performed.
Item Type: | Book Section |
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Subjects: | All Projects > Brain Mapping All Projects > Content-based Retrieval |
Divisions: | University of Washington > Department of Biological Structure University of Washington > Department of Computer Science and Engineering University of Washington > Department of Electrical Engineering University of Washington > Department of Neurosurgery |
Depositing User: | Jim Brinkley |
Date Deposited: | 17 Jul 2018 23:34 |
Last Modified: | 09 May 2019 23:48 |
URI: | http://sigpubs.si.washington.edu/id/eprint/308 |
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