Siemens Healthcare Gmbh

University of Minnesota

Siemens Healthineers Ag

Johns Hopkins University

The United States of America, As Represented by the Secretary, Department of Health and Human Services

Dingxin Wang

Kamil Ugurbil

Xiufeng Li

Vibhas S Deshpande

Gregory John Metzger

Peter Kollasch

Mario Zeller

Puneet Sharma

Peter Speier

Thomas Beck

Flavio Carinci

Himanshu Bhat

Steen Moeller

Xiaoguang Lu

Esther Raithel

Shivraman Giri

Ning Jin

Jan Fritz

Agus Priatna

Essa Yacoub

Jiang Pang

An embodiment of a method for recording diagnostic measurement data of a knee of an examination object in knee imaging by a magnetic resonance device, includes performing an overview scan of the knee of the examination object, wherein overview measurement data is acquired in the overview scan, and performing diagnostic scans of the knee of the examination object based on the acquired overview measurement data, wherein two-dimensional diagnostic measurement data is acquired in the diagnostic scans.

Method for recording diagnostic measurement data of a knee of an examination object in knee imaging by a magnetic resonance device

A method for generating a perfusion weighted image using arterial spin labeling (ASL) with segmented acquisitions includes dividing an anatomical area of interest into a plurality of slices and performing a multi-band (MB) echo planar imaging (EPI) acquisition process using a magnetic resonance imaging (MRI) system to acquire a control image dataset representative of the plurality of slices using a central-to-peripheral or peripheral-to-central slice acquisition order. An ASL preparation process is performed using the MRI system to magnetically label protons in arterial blood water in an area upstream from the anatomical area of interest. Following a post-labeling delay time period, the MB EPI acquisition process is performed to a labeled image dataset corresponding to the slices using the central-to-peripheral or peripheral-to-central slice acquisition order. A perfusion weighted image of the anatomical area is generated by subtracting the labeled image dataset from the control image dataset.

Slice ordering for MB-EPI ASL imaging

A system comprises presentation of a user interface on the display for inputting a first set of parameter values for a magnetic resonance scan, reception of the first set of parameter values for the magnetic resonance scan from a user via the displayed user interface, and automatic determination, based on the first set of parameter values, of first additional parameter values for the magnetic resonance scan.

Efficient determination of MR scan parameters

Embodiments can provide a method for multi-banded RF-pulse enhanced magnetization imaging, the method comprising determining, by a processor, a frequency offset against a central frequency by specifying an offset frequency for one or more RF coils close to a frequency peak of mobile water; and simultaneously applying, by one or more RF coils, one or more bands of Gaussian RF pulses around the central frequency to a patient from a medical imaging device; wherein the one or more bands of Gaussian RF pulses are symmetrically applied having a distance from the central frequency equal to the frequency offset.

Multi-banded RF-pulse enhanced magnetization imaging

Embodiments can provide a computer-implemented method for simultaneous multi-slice pulse wave velocity measurement, the method comprising simultaneously acquiring a plurality of multiple parallel images slices from a medical imaging device; shifting the plurality of image slices through modulation of the line-by-line phase patterns for each slice in the plurality of slices; deriving a plurality of image waveforms from the plurality of slices; measuring a distance between a plurality of imaging planes corresponding to the plurality of image slices; determining, for each of the image waveforms, a time-to marker; determining the temporal shift by calculating the difference between the time-to markers; and computing the pulse wave velocity by dividing the distance between the plurality of imaging planes by the temporal shift.

Simultaneous multi-slice phase pulse wave velocity measurement in a vessel

Systems and methods for determining optimized imaging parameters for imaging a patient include learning a model of a relationship between known imaging parameters and a quality measure, the known imaging parameters and the quality measure being determined from training data. Optimized imaging parameters are determined by optimizing the quality measure using the learned model. Images of the patient are acquired using the optimized imaging parameters.

System and method for determining optimal operating parameters for medical imaging

A magnetic resonance method and system are provided for providing improved multi-band (MB) magnetic resonance imaging. The adaptive MB imaging can be achieved by providing one or more modified multi-band excitation pulse sequences that include at least either one nullified 'dummy' slice within a slab that is not excited simultaneously with the other slices during a single multislice acquisition sequence, or one excitation slice group that utilizes a non-uniform slice spacing between simultaneously excited slices. Adaptive GRAPPA or slice-GRAPPA kernel sizes can also be used during image reconstruction to improve speed without excessive point spread blurring or MB reconstruction failure. A total leakage factor (TLF) can also be determined based on test images using modified MB excitation sequences, and used to improve the adaptive MB procedure.

Apparatus and method for multi-band MR imaging

A computer-implemented method for performing multi-band slice accelerated imaging includes performing a low-resolution fast multi-dimensional reference scan to obtain a coil sensitivity map. A multiband imaging scan is performed to acquire a plurality of k-space lines representative of an anatomical area of interest. A multi-band signal corresponding to the plurality of k-space lines is separated into a plurality of image slices using a parallel imaging reconstruction technique and the coil sensitivity map.

Multiband slice accelerated imaging with balanced slice-selective gradients

A method for generating a perfusion weighted image using ASL with segmented acquisitions includes dividing an anatomical area of interest into slices and performing an EPI acquisition process using an MRI system to acquire a control image dataset representative of the slices. An ASL preparation process is performed using the MRI system to magnetically label protons in arterial blood water upstream from the anatomical area of interest. Following a first time period, a multi-band EPI acquisition process is performed using the MRI system to acquire a first labeled image dataset representative of a first subset of the slices. Following a second time period, another multi-band EPI acquisition process is performed using the MRI system to acquire a second labeled image dataset representative of a second subset of the slices. A perfusion weighted image is generated by subtracting the first and second labeled image dataset from the control image dataset.

Time efficient ASL imaging with segmented multiband acquisition

A method for performing multi-slice MR Elastography on an anatomical region of interest associated with a patient includes inducing shear waves at a shear wave frequency value (e.g., between 25-500 Hz) in the anatomical region of interest using an external driver. Next, the anatomical region of interest is imaged during a single patient breath-hold using an MRI acquisition process. Following the MRI acquisition process(es), phase images of the anatomical region of interest are generated based on an acquired RF signal. These phase images may then be processed (e.g., using an inversion algorithm) to generate one or more quantitative images depicting stiffness of the anatomical region of interest. In some embodiments, a wave image is also generated showing propagation of the plurality of shear waves through the anatomical region of interest based on the phase images.

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Apple Valley, MN, United States of America

Dingxin Wang