Siemens Aktiengesellschaft

Siemens Healthcare Gmbh

Siemens Healthineers Ag

Michael Wullenweber

Johann Sukkau

Swen Campagna

Thorsten Feiweier

Thorsten Speckner

Peter Speier

Thomas Benner

Daniel Nico Splitthoff

Bernd Kuehn

Michael Koehler

Daniel Niederloehner

Andreas Schmidt

Ralf Ladebeck

Stephan Kannengiesser

Dieter Ritter

Wilhelm Horger

Michael Köhler

Gudrun Ruyters

Stephan Stoecker

Peter Kollasch

Venkata Veerendranadh Chebrolu

Joerg Rothard

Thomas Loeffler

Andreas Schäfer

Stefanie Splitthoff

A curtain for shielding an electromagnetic field may include a plurality of strip elements. A first strip element and a second strip element of the plurality of strip elements may have an electrically conductive layer. In a shielding configuration of the curtain, the electrically conductive layer of the first strip element is electrically connected to the electrically conductive layer of the second strip element and/or to an electrical connecting terminal for a reference potential. The plurality of strip elements can be variably positioned against one another.

Curtain and shielded chamber for shielding an electromagnetic field

A computer-implemented method for provision of a result dataset having position information of a local radio-frequency coil, including: providing input data having at least magnetic resonance data, which is acquired by means of the local radio-frequency coil; determining a result dataset by applying a trained function to the input data, wherein the result dataset comprises position information for determining the position of the local radio-frequency coil; and providing the result dataset.

Provision of position information of a local RF coil

A method and a system for providing parameters of a resonance frequency spectrum of a magnetic resonance scan. The system includes: an input interface for receiving a resonance frequency spectrum of a magnetic resonance scan and a computing device configured to implement a trained machine learning algorithm. The trained machine learning algorithm is trained to receive the resonance frequency spectrum received by the input interface as its input and to generate as its output a set of parameters of the resonance frequency spectrum. The system further includes an output interface configured to output the generated set of parameters.

System and method for providing at least one parameter for a magnetic resonance scan

Systems and methods for determining proton spectral characteristics associated with a pair of targets from an MRI data volume are provided. The methods can include identifying spectral widths and peak-to-peak distance associated with the targets from the MRI data volume. The targets could include water and fat. The identified proton spectral characteristics can be useful for accurate spectral fat saturation, improving dynamic shim routines, and optimizing bandwidth of radiofrequency pulses used in multi-slice or multi-band excitation.

System and method for automated identification of spectral characteristics

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

A method is for carrying out an automatic adjustment of an MR system, including a number of receive coils. In such cases, a number of partial spectra in a number of receive coils are measured for an excitation volume of an examination object. The number of partial spectra are evaluated via an algorithm, at least one characteristic value being determined for each partial spectrum and a decision being further made with the aid of the number of characteristic values to determine whether the partial spectra fulfill a quality criterion. Finally, adjustment parameters of the MR system are optimized on the basis of the number of partial spectra.

Automatic shimming by optimizing the frequency adjustment

Calculation of shim settings for magnetic resonance imaging includes defining an examination volume for the magnetic resonance imaging in a body of the examination object, determining a local shim volume, which includes a subregion of the examination volume, calculating shim settings, wherein a tissue, which is present in the local shim volume, of the body of the examination object is incorporated into the calculation of the shim settings, and acquiring magnetic resonance raw data of the examination volume by operation of a magnetic resonance scanner, using the calculated shim settings.

Method and apparatus for magnetic resonance imaging

In a method for operating a medical imaging apparatus having multiple sub-systems controlled by a controller in a coordinated manner in order to perform a measurement sequence, a number of first setting parameters are chosen to be constant for a complete measurement sequence, and after a static adjustment, a dynamic adjustment of second setting parameters, which are defined by control signals for the measurement sequence and that can vary while a measurement sequence is being performed, takes place. Base data defining underlying conditions specific to the patient to be imaged are measured for the total imaging volume in a measurement sequence. Reference values for the setting parameters that affect the underlying conditions are saved in association with the base data during the measurement sequence. If the present values of the setting parameters adjusted during the static adjustment differ from the reference values, updated base data are calculated based on the difference between the present values and the reference values, and the current base data are used for local optimization in the dynamic adjustment.

Medical imaging examination apparatus having multiple sub-systems and method for the operation thereof

In a method for operating a medical imaging examination apparatus having multiple subsystems controlled by a control computer in a scan sequence, a control protocol for the scan is provided to the control computer, which determines sequence control data for the control protocol that define different functional subsequences of the scan, with different effective volumes assigned to each functional subsequence. Current ambient conditions of the apparatus are determined that are decisive for the determined relevant sequence control data and associated effective volumes. Control signals for the scan are determined from the sequence control data, the effective volumes and the current ambient conditions determined that optimize the functional subsequences of the scan.

Medical imaging apparatus having multiple subsystems, and operating method therefor

In a method for making calibration measurements in a magnetic resonance (MR) system, in order to acquire an MR image of an examination subject, wherein the MR unit has a computer for operating the MR scanner, and a system control computer designed to control multiple system components of the MR scanner, a preparation step is executed by the computer to prepare a first calibration step, in which a first parameter of a system component is matched to the examination subject via the system control computer, and to prepare a second calibration step, in which a second parameter of a system component is matched to the examination subject via the system control computer. The first calibration step is executed by the system control computer as is the second calibration step. The preparation step is executed by the computer to prepare one of the first or second calibration steps before one of the calibration steps is initiated by the system control computer.

System calibration in an MR system

In a method and magnetic resonance apparatus for performing at least one adjusting measurement for the magnetic resonance apparatus, a localizing measurement is performed using the magnetic resonance apparatus and a localization dataset is created, and at least one examination region on the localization dataset. At least one examination region of the localization dataset is selected, and at least one adjusting measurement is performed according to the at least one selected examination region. The at least one adjusting measurement can be the calculation of a radio-frequency pulse amplitude, the calculation of a system frequency and the calculation of at least one current of at least one shim coil.

Method and magnetic resonance apparatus for performing an adjusting measurement

In a method for operating a medical imaging examination apparatus having multiple subsystems, current ambient conditions in a scan volume of the apparatus are determined and stored in a global ambient condition parameter set. A control computer starts a scan sequence according to a selected scan protocol, and sequence control data that define different functional sub-sequences for the respective subsystems are provided to the control computer. Different effective volumes are assigned to each functional sub-sequence, and respective current sub-regions in the effective volume associated with the respective sub-sequence are determined, in which a volume optimization is to take place. Control signals for the scan sequence are calculated using the sequence control data, the global ambient condition parameter set, and the determined current sub-regions of the affected volumes, in order to optimize the functional sub-sequences at least with regard to the current sub-region of the assigned effective volume.

The embodiments relate to a method for the optimization of alignment measurements in which a MR facility is configured to a measurement object. First alignment measurements are carried out while the measurement object is being moved through the MR facility, wherein at least one MR system parameter of the MR facility is configured to the measurement object of the first alignment measurements. A second alignment measurement is also carried out in which the measurement object is stationary in a fixed position in the MR facility, wherein the second alignment measurement includes an iterative alignment method in which the at least one MR system parameter for the recording of MR signals of the measurement object is iteratively configured to the measurement object in the fixed position in the MR facility, wherein for the iterative alignment method the aligned MR system parameter is chosen from the aligned MR system parameters.

Acceleration of stationary alignment measurements

In a method and imaging device for ascertaining an absolute scan region on a patient, who is positioned on an examination table, for a subsequent medical imaging examination by operation of the medical imaging device, the height of the patient is ascertained, a relative examination region is ascertained, and the absolute scan region of the patient for the subsequent medical imaging examination is determined in a processor using the patient height and the relative examination region.

Method for ascertaining an absolute scan region on a patient

The embodiments relate to a B-map establishment system for establishing B-maps, operating using a method including: establishing a number of relative B-maps and storing the relative B-maps for subsequent, in particular repeated use. The B-maps are used in a method for establishing an actuation sequence including: establishing a quantitative B-map. establishing normalized B-maps on the basis of the relative B-maps and the quantitative B-map, and establishing an actuation sequence or acquiring magnetic resonance measurement data using the normalized B-maps. Furthermore, the embodiments relate to an actuation sequence establishment system and a magnetic resonance imaging system including such an actuation sequence establishment system.

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Erlangen, Germany

Michael Wullenweber