Xerox Corporation

Leland Stanford Junior University

Paul K Mazaika

Gary H Glover

Allan L Reiss

A computer-implemented method to correct motion and interpolation effects for functional magnetic resonance imaging (fMRI) analysis is provided. The method estimates the motion on every voxel of the data and removes those effects to leave a residual signal that can be analyzed to high accuracy. The estimation of the motion includes solving a normal matrix equation based on the local translational motion of each voxel of the head, and a regularization parameter that depends on the local spatial structure of the head. Methods to regularize a matrix from the normal equation using the regularization parameter are also provided. A rolling filter implementation for real-time processing and motion correction is provided.

Robust motion correction for functional magnetic resonance imaging

The present invention provides a system and method for encoding digital data in a hardcopy rendering of an invisible image of circularly asymmetric dot patterns. The dot patterns are slash-like markings or glyphs tilted to the right and left with respect to the longitudinal axis of the recording medium. The glyphs are written onto a spatially periodic, two dimensional array of cell blocks to encode information without modulating the average reflectances of the cell blocks. In operation the dot patterns are written onto the recording medium in yellow at approximately a 2% pixel density to produce an image that is invisible to the naked eye, but capable of being reliably decoded by conventional machinery.

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Palo Alto, CA, United States of America

Paul K Mazaika