Siemens Healthcare Gmbh

Siemens Medical Solutions Usa, Inc.

Siemens Aktiengesellschaft

Cedars-sinai Medical Center

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

Siemens Corporation

Siemens Canada Limited

Xiaoming Bi

Gerhard Laub

Sven Zuehlsdorff

Christopher Glielmi

Yutaka Natsuaki

Peter Schmitt

Debiao Li

Peter Weale

Zhaoyang Fan

Xiaoguang Lu

Xiaodong Zhong

Michaela Schmidt

Fei Han

Jin Jin

Dorin Comaniciu

Bogdan Georgescu

Peter Speier

Marcel Dominik Nickel

Andreas Greiser

Berthold Kiefer

Stephan Kannengiesser

Matthias Fenchel

Marie-Pierre Jolly

Michael Zenge

Edgar Mueller

Hui Xue

Vibhas S Deshpande

Jens Guehring

Carmel Hayes

Ning Jin

Peter Kellman

Randall Kroeker

Jianing Pang

Bruce S Spottiswoode

Saurabh Shah

Christopher Nguyen

Renate Jerecic

Uday Bhaskar Krishnamurthy

Kevin Johnson

A method of generating biomarker parameters includes acquiring imaging data depicting a patient using a MRI system. The imaging data is acquired for a plurality of contrasts resulting from application of a pulse on the patient's anatomy. A process is executed to generate a MoCoAve image for each contrast. This process includes dividing the imaging data for the contrast into bins corresponding to one of a plurality of respiratory motion phases, and reconstructing the imaging data in each bin to yield bin images. The process further includes selecting a reference bin image from the bin images, and warping the bin images based on the reference bin image. The warped bin images and the reference bin image are averaged to generate the MoCoAve image for the contrast. One or more biomarker parameter maps are calculated based on the MoCoAve images generated for the contrasts.

Quality and signal-to-noise ratio of free-breathing quantitative measurement of magnetic resonance imaging parameters and related biomarkers

A system for performing magnetic resonance imaging (MRI) of a subject has a pulse sequence system that generates a pulse sequence and has a gradient system, a plurality of gradient coils, a radio-frequency system, and a plurality of RF coils. The pulse sequence system causes the subject to emit MR signals which are captured as k-space data. The system also has a k-space ordering processor that collects first k-space data and second k-space data, an MR signal modeler that generates a signal variation model, and a compensation module that applies the signal variation model to the second k-space data collected to produce compensated k-space data. A display processor reconstructs the compensated k-space data into an image of the subject. The compensated data accounts for variation in magnetization during the pulse sequence and k-space data collection to reduce artifacts in the images.

K-space data correction method for signal variation compensation

An imaging system includes determination of a first gradient-modulated offset-independent adiabaticity pulse associated with a first bandwidth and a first gradient strength, determination of a second gradient-modulated offset-independent adiabaticity pulse associated with a second bandwidth less than the first bandwidth and a second gradient strength less than the first gradient strength, determination of a third asymmetric adiabatic pulse based on the first gradient-modulated offset-independent adiabaticity pulse and the second gradient-modulated offset-independent adiabaticity pulse, and control of a radio frequency system and gradient system to apply the third asymmetric adiabatic pulse to patient tissue.

Hybrid inversion pulse for magnetic resonance imaging

A method includes capturing a first set of optical images of the subject while a subject is lying on a table of a Magnetic Resonance (MR) scanner. This first set of optical images is acquired without any MR phased-array coils placed on the subject. While the subject continues to lie on the table of the MR scanner, a second set of optical images of the subject is acquired with the MR phased-array coils placed on the subject. Aside from the optical images, a set of MR images of the subject is acquired using the MR scanner. The first and second set of optical images are registered to the MR images. Following registration, the first and second set of optical images are used to determine element positioning of the MR phased-array coils in the set of MR images.

Optical camera for patient position monitoring

Embodiments can provide a computer-implemented method for free breathing three dimensional diffusion imaging, the method comprising initiating, via a k-space component processor, diffusion/T2 preparation, comprising generating diffusion contrast; and adjusting one or more of amplitude, duration, and polarity to set a first order moment; applying, via an image data processor, a stack of stars k-space ordering, comprising acquiring a radial/spiral view for all members of a plurality of partitions in a partition-encoding direction; increasing an azimuthal angle until a complete set of radial/spiral views are sampled; and applying diffusion gradients along each of three axis simultaneously; and calculating, via the image data processor, an apparent diffusion coefficient map.

Free-breathing 3D body diffusion imaging using motion-compensated diffusion preparation and motion robust readout

A method for performing 3D body imaging includes performing a 3D MRI acquisition of a patient to acquire k-space data and dividing the k-space data into k-space data bins. Each bin includes a portion of the k-space data corresponding to a distinct breathing phase. 3D image sets are reconstructed from the bins, with each 3D image set corresponding to a distinct k-space data bin. For each bin other than a selected reference bin, forward and inverse transforms are calculated between the 3D image set corresponding to the bin and the 3D image set corresponding to the reference bin. Then, a motion corrected and averaged image is generated for each bin by (a) aligning the 3D image set from each other bin to the 3D image set corresponding to the bin using the transforms, and (b) averaging the aligned 3D image sets to yield the motion corrected and averaged image.

Respiratory phase-resolved 3D body imaging using iterative motion correction and average

A method for acquiring an image volume using a magnetic resonance imaging device includes performing an acquisition process to acquire a first dataset corresponding to a first portion of an anatomical region of interest at a first slice resolution, wherein the first dataset comprises a first plurality of three-dimensional slabs or a first plurality of two-dimensional slice regions. Additionally, one or more additional acquisition processes is performed to acquire a second dataset corresponding to a second portion of the anatomical region of interest at a second slice resolution that is lower or higher than the first slice resolution, wherein the second dataset comprises a second plurality of three-dimensional slabs or a second plurality of two-dimensional slice regions. Once the datasets are acquired, a reconstruction process is applied to jointly reconstruct the first dataset and the second dataset as a single consistent volume.

Non-contrast MR angiography with variable slice resolution 3D time-of-flight

A system includes applying, to patient tissue, a first imaging sequence comprising first balanced gradient pulse trains and RF pulses, where phases of successive RF pulses in the first imaging sequence differ by a first pulse phase increment, detecting first signals emitted from the patient tissue in response to the first imaging sequence, and to generate a first image based on the first signals, applying, to the patient tissue, a second imaging sequence comprising second balanced gradient pulse trains and RF pulses, where phases of successive RF pulses in the second imaging sequence differ by a second pulse phase increment different from the first pulse phase increment, detecting second signals emitted from the patient tissue in response to the second imaging sequence, and to generate a second image based on the second signals, applying motion-correction processing to the first image to generate a first motion-corrected image, applying motion-correction processing to the second image to generate a second motion-corrected image, and generating a composite image based on the first motion-corrected image and the second motion-corrected image.

Phase-cycled steady-state free precession imaging

A magnetic resonance method and system are provided for providing improved 3D imaging of blood vessels and the like, which provides suppression of both blood and fat signals and is insensitive to subject motion, thereby facilitating improved visualization of vessel walls. The image data pulse sequence includes a plurality of pulse series, where each series includes a dark-blood sequence, a fat-suppression sequence, and a data readout sequence. Each data readout sequence samples a particular radial direction within each partition (Kz value) that passes through the Kz axis, and different radial orientations are sampled in subsequent series to provide a stack-of-stars sampling scheme.

System and method for motion-robust 3D magnetic resonance imaging of vessel walls

A computer-implemented method for determining magnetic field inversion time of a tissue species includes generating a T1-mapping image of a tissue of interest, the T1-mapping image comprising a plurality of T1 values within an expected range of T1 values for the tissue of interest. An image mask is created based on predetermined identification information about the tissue of interest. Next, an updated image mask is created based on a largest connected region in the image mask. The updated image mask is applied to the T1-mapping image to yield a masked image. Then, a mean relaxation time value is determined for the largest connected region. The mean relaxation time value is then used to determine a time point for nulling longitudinal magnetization.

Methods and systems for automatically determining magnetic field inversion time of a tissue species

A system includes an image data processor for automatically processing data representing multiple patient anatomical images acquired in a single imaging scan. The images are acquired by, identifying multiple different anatomical elements in corresponding multiple different anatomical regions and identifying multiple different potentially pathology indicative features associated with the multiple different anatomical elements in response to first predetermined information associating different potentially pathology indicative features with corresponding different anatomical elements. The image data processor determines multiple different image acquisition methods for use in imaging the multiple different potentially pathology indicative features in response to second predetermined information associating different image acquisition methods with corresponding identified different pathology indicative features. An output processor collates images for output.

Automatic or semi-automatic whole body MR scanning system

An imaging system automatically determines a cardiac timing parameter for acquiring a cardiac image in a heart phase. An interface receives data identifying a heart image orientation for image acquisition. A repository of data associates, for acquisition of an image in a particular heart phase, different image orientations with corresponding different data items identifying respective corresponding particular acquisition points within an individual heart cycle relative to a start point of the heart cycle. An acquisition timing processor determines from the repository of data, a particular acquisition point within an individual heart cycle relative to the start point of the heart cycle, in response to the received data identifying the heart image orientation and uses the determined particular acquisition point to provide a synchronization signal for triggering acquisition of an image at the particular heart phase.

Automatic system for timing in imaging

A system automatically concurrently performs an MR image study acquisition and supplementary image data acquisition. The system includes a detector for providing a signal indicating individual portions of an imaging scan using a first imaging method have ceased. An image data processor automatically concurrently interleaves imaging of a first anatomical portion using the first imaging method and supplementary imaging of a second anatomical portion using a different second imaging method, in response to the signal. The image data processor incorporates identifier data in data representing images acquired using the second imaging method identifying images acquired using the second imaging method differently from images acquired using the first imaging method.

MR imaging system for automatically providing incidental findings

A method and system for automated view planning for cardiac magnetic resonance imaging (MRI) acquisition is disclosed. The method and system automatically generate a full scan prescription using a single 3D MRI volume. The left ventricle (LV) is segmented in the 3D MRI volume. Cardiac landmarks are detected in the automatically prescribed slices. A full scan prescription, including a short axis stack and 2-chamber, 3-chamber, and 4-chamber views, is automatically generated based on cardiac anchors provided by the segmented left ventricle and the detected cardiac landmarks in the 3D MRI volume.

Method and system for automatic view planning for cardiac magnetic resonance imaging acquisition

A system for Non-Contrast Agent enhanced MR imaging includes an MR image acquisition device for acquiring imaging datasets comprising one or more image slabs individually comprising multiple image slices. An image data processor processes data representing an acquired image slice to detect a predetermined anatomical feature of a patient by detecting an edge of the anatomical feature in response to detection of pixel luminance transitions. A patient support table controller automatically moves a patient table at a velocity adaptively and dynamically determined by, selecting data modifying table velocity from predetermined information associating an anatomical feature with table velocity modification data in response to detection of the anatomical feature and adaptively determining a table velocity using the modification data.

Patient support table control system for use in MR imaging

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Oak Park, CA, United States of America

Xiaoming Bi