University of California

The United States Government As Represented by the Department of Veterans Affairs

Thomas T Liu

Eric C Wong

Youngkyoo Jung

Roland R Lee

Ming-Xiong Huang

Mithun Diwakar

Omer Tal

Techniques and systems are disclosed for implementing multi-core beamforming algorithms. In one aspect, a method of implementing a beamformer technique includes using a spatial filter that contains lead-fields of two simultaneous dipole sources rather than a linear combination of the two to directly compute and obtain optimal source orientations and weights between two highly-correlated sources.

Enhanced multi-core beamformer algorithm for sensor array signal processing by combining data from magnetoencephalography

Techniques, systems and apparatus are described for magnetic resonance imaging. A magnetic resonance imaging (MRI) system comprises a scanner comprising a magnet, gradient coils and a radio frequency (RF) system to perform various operations. The scanner can apply a gradient field and a train of RF pulses comprising more than two phases to tag a target blood vessel, and acquire magnetic resonance signals based on the applied train of RF pulses to sample the more than two phases. The MRI system includes a data processing system in communication with the scanner to receive the acquired magnetic resonance signals and process the received magnetic resonance signal to generate images proportional to perfusion.

Multi-phase pseudo-continuous arterial spin labeling

Techniques for providing velocity-selective magnetic arterial spin labeling in magnetic resonance imaging (MRI) without spatial selectivity. In one implementation, an RF pulse train is applied to selectively tag spins according to velocities of the spins without selection based on locations of the spins. MRI images of tagged spins at an area of interest are then acquired to obtain information on perfusion at the area of interest.

Velocity-selective arterial spin labeling without spatial selectivity

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San Diego, CA, United States of America

Thomas T Liu