A similarity retrieval method for functional magnetic resonance imaging (fMRI) statistical maps

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.

[thumbnail of rosaliaSPIE08.pdf]
Preview
Text
rosaliaSPIE08.pdf

Download (131kB) | Preview

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
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

Actions (login required)

View Item View Item