Siemens Healthcare Gmbh

Siemens Aktiengesellschaft

University of California

Siemens Medical Solutions Usa, Inc.

Duke University

Siemens Healthineers Ag

Stephan Kannengiesser

Marcel Dominik Nickel

Xiaodong Zhong

Berthold Kiefer

Vibhas S Deshpande

Boris Mailhe

Hans-Peter Fautz

Brian Dale

Mark A Griswold

Peter Schmitt

Vladimir Jellus

Li Pan

Holden H Wu

Mustafa R Bashir

Tess Armstrong

Markus Vester

Stephan Biber

Stefan Popescu

Thorsten Feiweier

Mariappan S Nadar

Peter Speier

Tommaso Mansi

Thomas Mertelmeier

Dieter Ritter

Jan Bollenbeck

Mathias Nittka

Swen Campagna

Rainer Schneider

Josef Pfeuffer

Juergen Nistler

Michael Zenge

Ludwig Eberler

Edgar Mueller

Arnulf Oppelt

David Andrew Porter

Martin Harder

Robert Rehner

Xiaoming Bi

Michael Wullenweber

Thomas Pheiffer

Evgueni Kholmovski

Peter Heubes

Gudrun Ruyters

Thomas Kluge

Cecile Mohr

Philipp Hoecht

Katrin Wohlfarth

Kai Tobias Block

Gregor Körzdörfer

Jan Ruff

Jeanette Lenger

Ralf Loeffler

Rainer Kaim

Claudia Fellner

Melanie Dornhaus

A computer-implemented method for determining a subset of coil elements for capturing a magnetic resonance tomography recording, comprises: providing a target volume in a scout view, and determining a plurality of subsets of coil elements from among the plurality of coil elements, wherein individual subsets are configured different from one another. The method further comprises: determining at least one quality criterion for each subset of coil elements, wherein the at least one quality criterion of a corresponding subset of coil elements relates to an image quality in the target volume, dependent upon the corresponding subset of coil elements; determining the subset of coil elements from the plurality of subsets, based on the corresponding at least one quality criterion; and providing an information item regarding which of the plurality of coil elements are included by the subset of coil elements.

Method for determining an optimized subset of coil elements from a plurality of coil elements for capturing a magnetic resonance tomography recording

A computer implemented method of processing a medical image is disclosed. The method includes receiving a medical image comprising a first plurality of pixels each having an initial pixel value. For each of the first plurality of pixels, a filtering operation is applied to the pixel to generate a filtered pixel value for the pixel based on the initial pixel values of pixels that surround the pixel in the medical image. For each of the first plurality of pixels, a comparison of the initial pixel value with the filtered pixel value is performed. The method comprises, for each of the first plurality of pixels, determining, based on the comparison, whether or not to categorize the pixel as an erroneous pixel; and for each of the first plurality of pixels for which it is determined to categorize the pixel as an erroneous pixel, categorizing the pixel as an erroneous pixel.

Method and apparatus for processing a medical image

Determining parameter values in image points of an examination object in an MR system by an MRF technique. Comparison signal waveforms, established using predetermined recording parameters, and each assigned to predetermined values of the parameters to be determined, are loaded. An image point time series of the examination object is acquired with an MRF recording method such that the acquired image point time series are comparable with the loaded comparison signal waveforms. A signal comparison of a section of the respective signal waveform of the acquired one image point time series is carried out with a corresponding section of loaded comparison signal waveforms to establish similarity values. The values of the parameters to be determined on the basis of the most similar comparison signal waveforms determined are determined, and then stored or output.

Magnetic resonance fingerprinting method

The disclosure relates to techniques for automatically characterizing liver tissue of a patient, comprising receiving morphological magnetic resonance image data set and at least one magnetic resonance parameter map of an imaging region comprising at least partially the liver of the patient, each acquired by a magnetic resonance imaging device, via a first interface. The techniques further include applying a trained function comprising a neural network to input data comprising at least the image data set and the parameter map. At least one tissue score describing the liver tissue is generated as output data, which is provided using a second interface.

Techniques for automatically characterizing liver tissue of a patient

A method for acquiring magnetic resonance imaging data with respiratory motion compensation using one or more motion signals includes acquiring a plurality of gradient-delay-corrected radial readout views of a subject using a free-breathing multi-echo pulse sequence, and sampling a plurality of data points of the gradient-delay-corrected radial readout views to yield a self-gating signal. The self-gating signal is used to determine a plurality of respiratory motion states corresponding to the plurality of gradient-delay-corrected radial readout views. The respiratory motion states are used to correct respiratory motion bias in the gradient-delay-corrected radial readout views, thereby yielding gradient-delay-corrected and motion-compensated multi-echo data. One or more images are reconstructed using the gradient-delay-corrected and motion-compensated multi-echo data.

Free-breathing MRI with motion compensation

An imaging apparatus has an MRT system with an MR receiving antenna configured to receive a first receive signal containing an MR signal from an object to be examined during an examination period. The imaging apparatus includes a modality for examining the object and/or for acting on the object via mechanical or electromagnetic waves, wherein the modality has an electronic circuit. The imaging apparatus includes an auxiliary antenna arranged and configured to receive a second receive signal containing an interference signal generated by the electronic circuit during the examination period. The imaging apparatus has a processing system configured to suppress interference in the first receive signal based on the first and the second receive signal.

Magnetic resonance tomography with signal interference suppression

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

The disclosure relates to a field camera and a method for measuring a magnetic field distribution using a magnetic resonance tomograph and the field camera. The field camera has a number of samples, which are distributed over a spatial volume to be measured, and a number of receive antennas. In an act of the method, a sensitivity matrix for the receive antennas, for each sample at each receive antenna, is captured using the magnetic resonance tomograph. In another act, antenna signals of the samples in a magnetic field to be measured are captured by the receive antennas, using the magnetic resonance tomograph. Finally, magnetic resonance signals of the individual samples are determined from the antenna signals as a function of the sensitivity matrix, using a controller. In a further act, the magnetic field strength at the location of the samples may be determined from the magnetic resonance signals.

Passive field camera and method for operating the passive field camera

A magnetic resonance imaging system and method are provided for improved determination of noise bias effects in calculating fitted parameters for quantitative MRI procedures. The system and method includes selecting a range for the SNR and fitted parameter values, and for each of a plurality of base pairs of these values and for a plurality of b values, adding a random noise term to the real and imaginary components of a plurality of corresponding signal terms, fitting magnitudes of the resulting 'noisy' signals to determine a 'noisy' fitted parameter value, and compare the &#x201c;noisy&#x201d; and base fitted parameter values to determine a noise-based error for each pair of base values. The noise-based errors can be used to generate an error map, modify imaging parameters to reduce such errors, or correct fitted parameters directly.

Systems and methods for predicting errors and optimizing protocols in quantitative magnetic resonance imaging

In a method and apparatus for noise decorrelation of magnetic resonance (MR) measurement signals acquired by multiple detectors of an MR apparatus, which are disturbed by additive noise, noise signals and reference signals of the multiple detectors are used to determine an improved noise decorrelation matrix, which removes a noise correlation in the MR measurement signals of the multiple detectors.

Signal-preserving noise decorrelation

In a method and magnetic resonance apparatus for determining a scanning region that is relevant to a magnetic resonance examination, overview data are acquired from an object positioned on a patient accommodation device during total imaging, the overview data are evaluated so as to generate position information therefrom relating to the object positioned on the patient accommodation device on the basis of the overview data, and the scanning region that is relevant to the magnetic resonance examination is determined on the basis of the position information.

Method and magnetic resonance apparatus for determining a scanning region relevant to a magnetic resonance examination

In a magnetic resonance (MR) apparatus and a method for operating such an apparatus, a T1 parameter map is generated with fat fraction correction, by using a model in which the fat fraction of acquired MR data is used as a known parameter. The T1 values from the acquired MR data are fat fraction-corrected in such a manner, so as to generate fat fraction-corrected entries for the T1 parameter map according to the model.

Method and magnetic resonance apparatus for generating a fat fraction-corrected T1 parameter map

In a computer and a magnetic resonance method and apparatus for automatic characterization (classification) of liver tissue in a region of interest of a liver, at least one value tuple of the region of interest of the liver is acquired, the value tuple including at least one Tvalue determined from magnetic resonance images of the region of interest, or a reciprocal value thereof, and a Tor T* value or a reciprocal value thereof. The value tuple is transferred into a multidimensional parameter space and the characterization of the liver tissue is then performed on the basis of the position of the value tuple in the parameter space.

Method and computer for automatic characterization of liver tissue from magnetic resonance images

In a method and apparatus for the automatic assignment of at least one combination image of an examination object to a spin species represented in a combination magnetic resonance (MR) image, an information MR dataset is obtained and evaluated in a computer to determine information about the examination object from the captured information MR dataset. At least two MR datasets are acquired at one of at least two echo times in each case following an excitation by a multi-contrast measurement. At least one combination image is determined from the at least two MR datasets, and spin species represented in the at least one combination image are assigned on the basis of the information determined from the information MR dataset. By using additional information about the examination object determined by MR technology an automatic unambiguous global assignment of the correct spin species is enabled.

Method and apparatus assignment of a spin species to a combination image

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Wuppertal, Germany

Stephan Kannengiesser