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Real‐Time Functional Magnetic Resonance Imaging
Author(s) -
Cox Robert W.,
Jesmanowicz Andrzej,
Hyde James S.
Publication year - 1995
Publication title -
magnetic resonance in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.696
H-Index - 225
eISSN - 1522-2594
pISSN - 0740-3194
DOI - 10.1002/mrm.1910330213
Subject(s) - voxel , functional magnetic resonance imaging , computer science , correlation coefficient , magnetic resonance imaging , artificial intelligence , pulse (music) , signal (programming language) , image processing , neuroimaging , nuclear magnetic resonance , computer vision , image (mathematics) , physics , medicine , telecommunications , machine learning , detector , psychiatry , radiology , programming language
A recursive algorithm suitable for functional magnetic resonance imaging (FMRI) calculations is presented. The correlation coefficient of a time course of images with a reference time series, with the mean and any linear trend projected out, may be computed with 22 operations per voxel, per image; the storage overhead is four numbers per voxel. A statistical model for the FMRI signal is presented, and thresholds for the correlation coefficient are derived from it. Selected images from the first real‐time functional neuroimaging experiment (at 3 Tesla) are presented. Using a 50‐MHz workstation equipped with a 14‐bit analog‐to‐digital converter, each echo planar image was acquired, reconstructed, correlated, thresh‐olded, and displayed in pseudocolor (highlighting active regions in the brain) within 500 ms of the RF pulse.