Leland Stanford Junior University

University of California

Insightec, Ltd.

Michael Lustig

John Mark Pauly

Shreyas S Vasanawala

Tao Zhang

Joseph Yitan Cheng

Yoav Levy

Yoav Medan

Kim Butts Pauly

Charles H Cunningham

Daniel Blackburn Vigneron

William A Grissom

Viola Rieke

David Leigh Donoho

Marcus Tedrow Alley

Tolga Cukur

Juan Manuel Santos

Albert P Chen

Seung Jean Kim

Zhong-Min Hu

A method for an object in a magnetic resonance image (MRI) system for providing at least one velocity indicative magnetic resonance image (MRI) with motion correction of the object is provided. Velocity encoding gradients in at least one spatial direction are provided from the MRI system. Spatial frequency data resulting from the encoding gradients are acquired through the MRI system. Image signals are provided by the MRI system. Image data resulting from the image signals are acquired through the MRI system. At least one motion corrected and velocity indicative magnetic resonance image is created from the acquired spatial frequency data and image data.

Intrinsic navigation from velocity-encoding gradients in phase-contrast MRI

A method for providing an magnetic resonance imaging (MRI) with nonrigid motion correction of an object is provided. An MRI excitation is applied to the object. A magnetic field read out from the object using a plurality of sensor coils. Spatially localized motion estimates are obtained for each sensor coil of the plurality of sensor coils. The motion estimates are used for each sensor coil to provide motion correction.

Nonrigid motion correction in 3D using autofocusing with localized linear translations

A method of providing dynamic magnetic resonance imaging (MRI) of an object in an MRI system is provided. A magnetic resonance excitation from the MRI system is applied to the object. A magnetic resonance signal is read out through k-space for a plurality of regions with two or three spatial dimensions and a temporal dimension, wherein the read out is pseudo-randomly undersampled in the spatial frequency dimensions and the temporal dimension providing k-space data that is pseudo-randomly undersampled in the spatial frequency dimensions and the temporal dimension. The readout data is used to create a sequential series of spatial frequency data sets by generating interpolated data in the spatial frequency dimensions and the temporal dimension. The sequential series of spatial frequency data sets is used to create temporally resolved spatial images.

Dynamic contrast enhanced magnetic resonance imaging with high spatial-temporal resolution

Proton resonance frequency shift thermometry may be improved by combining multibaseline and referenceless thermometry.

Hybrid referenceless and multibaseline PRF-shift magnetic resonance thermometry

A computer implemented method for magnetic resonance imaging is provided. A 3D Fourier Transform acquisition is performed with two phase encode directions, wherein phase code locations are chosen so that a total number of phase encodes is less than a Nyquist rate, and closest distances between phase encode locations takes on a multiplicity of values. Readout signals are received through a multi-channel array of a plurality of receivers. An autocalibrating parallel imaging interpolation is performed and a noise correlation is generated. The noise correlation is used to weight a data consistency term of a compressed sensing iterative reconstruction. An image is created from the autocalibration parallel imaging using the weighted data consistency term. The image is displayed.

Method of autocalibrating parallel imaging interpolation from arbitrary K-space sampling with noise correlations weighted to reduce noise of reconstructed images

A three dimensional image, in a phased array magnetic resonance imaging (MRI) system is provided. Three dimensional k-space data within an auto calibration signal (ACS) region and outside the ACS region are acquired. The k-space data within the ACS region are converted into hybrid space ACS data. Compression matrices and alignment matrices of the compression matrices for the hybrid space ACS data are found along a readout direction. Alignment matrices are multiplied to the compression matrices to achieve the properly-aligned compression matrices along the readout direction. All k-space data are converted into hybrid space. The properly-aligned compression matrices are applied to the hybrid space data to provide compressed data with fewer channels. The compressed data are used to form a three dimensional image.

Coil compression for three dimensional autocalibrating parallel imaging with cartesian sampling

The phase background of a proton resonance frequency shift treatment image may be estimated by fitting a combination of baseline images to the treatment image.

Multibaseline PRF-shift magnetic resonance thermometry

A method for obtaining an image by parallel acquisition magnetic resonance imaging (MRI) is provided. Precessing nuclear spins are excited in a region of a subject. A plurality of response signals, representing magnetic resonance signals arising from the precessing nuclear spins, are simultaneously obtained from the region respectively with a plurality of RF reception coils, with each response signal representing a reduced data set of a totality of all of said response signals. Calibration data points are additionally obtained for each data set. A filter is synthesized using the calibration data points. The synthesizing filter is applied to the reduced data set to obtain a plurality of coupled simultaneous linear equations with a plurality of unknowns. The plurality of coupled simultaneously linear equations with the plurality of unknowns is solved to obtain a complete data set.

Auto calibration parallel imaging reconstruction method from arbitrary k-space sampling

A method for enhancing resolution and contrast in an MRI image is provided. A transient signal acquisition is applied to acquire a plurality of samples of data, comprising reducing transient signal oscillations and acquiring a plurality of MRI samples of data. Transient signal compensation is applied to the plurality of samples of data to provide data with signal compensation. A noise reduction technique is applied to the data with signal compensation. Data resulting from the applying the noise reduction is used to generate an MRI image.

Contrast and resolution enhancement with signal compensation

A computer implemented method for designing a spectral-spatial pulse for exciting at least one passband and minimally exciting at least one stopband is provided. A uniform shaped spectral envelope is generated. For a plurality of k&#x2260;0, kdependent weights for a spectral envelope that approximate a k=0 envelope and provides the at least one passband and the at least one stopband for each of the plurality of k&#x2260;0 is generated.

Optimized spectral-spatial pulse

A method for magnetic resonance imaging (MRI) is provided. A scanning path is specified. Gradient amplitude is determined as a function of arc-length along the scanning path in k-space. A time optimal gradient waveform for scanning the scanning path is calculated from the gradient amplitude. The scanning path is scanned using the time optimal gradient waveform.

MRI method of determining time-optimal gradient waveforms with gradient amplitude as a function of arc-length in k-space

A method for magnetic resonance imaging (MRI) is provided. A magnetic resonance excitation is provided. A magnetic field is read out through k-space using winders, wherein some of the winders overlap for a length of the winders. Readout data from overlapping lengths of winders is used to estimate motion. The readout may use a two dimensional discrete Fourier transform acquisition.

Self navigating cartesian trajectory

A method of providing a magnetic resonance spectral image (MRSI) is provided. A magnetic resonance imaging excitation is applied. Data is acquired, comprising applying an oscillating gradient in a first dimension and applying blips in at least a second dimension in a pseudo-random order to acquire pseudo-random temporally undersampled spectral data in at least two planes. The pseudo-random order is used to reconstruct a magnetic resonance spectral image in at least two dimensions.

Blip design for random sampling compressed sensing of flyback 3D-MRSI

A method of dynamic resonance imaging is provided. A magnetic resonance imaging excitation is applied. Data in 2 or 3 spatial frequency dimensions, and time is acquired, where an acquisition order in at least one spatial frequency dimension and the time dimension are in a pseudo-random order. The pseudo-random order and enforced sparsity constraints are used to reconstruct a time series of dynamic magnetic resonance images.

K-T sparse: high frame-rate dynamic magnetic resonance imaging exploiting spatio-temporal sparsity

Banding artifacts in steady state free precession (SSFP) magnetic resonance imaging (MRI) are reduced by acquiring and combining multiple SSFP images in an augmented matrix where an acquisition vector in k-space is equal to a Fourier matrix of the trajectory on a known distortion operator for each trajectory in k-space.

Growing community of inventors

Berkeley, CA, United States of America

Michael Lustig