Real-time functional magnetic resonance imaging
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; t...
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Published in: | Magnetic resonance in medicine Vol. 33; no. 2; p. 230 |
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Main Authors: | , , |
Format: | Journal Article |
Language: | English |
Published: |
United States
01-02-1995
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Subjects: | |
Online Access: | Get more information |
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Summary: | 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, thresholded, and displayed in pseudocolor (highlighting active regions in the brain) within 500 ms of the RF pulse. |
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ISSN: | 0740-3194 |
DOI: | 10.1002/mrm.1910330213 |