Siemens Aktiengesellschaft

Siemens Healthcare Gmbh

Siemens Healthineers Ag

Siemens Medical Solutions Usa, Inc.

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

Isis Innovation Limited

The United States of America

Dentsply Sirona Inc.

Sirona Dental Systems Gmbh

Andreas Greiser

Dominik Paul

Peter Speier

David Grodzki

Daniel Nico Splitthoff

Stephan Biber

Thorsten Speckner

Edgar Mueller

Sven Zuehlsdorff

Adrian Mark Thomas

Hui Xue

Stefan Popescu

Mariappan S Nadar

Boris Mailhe

Matthias Gebhardt

Peter Schmitt

Arne Littmann

Peter Kellman

Peter Gall

Michael Mallett

Venkata Veerendranadh Chebrolu

Saurabh Shah

Aurelien Stalder

Dorin Comaniciu

Mario Zeller

Thorsten Feiweier

Ali Kamen

Mathias Nittka

Michael Zenge

Stephan Zink

Andreas Krug

Bin Lou

Michaela Schmidt

Lars Lauer

Jens Guehring

Christoph Forman

Carmel Hayes

Rene Kartmann

Felix Wolf

Brett Cowan

Steffen Schröter

Alistair Young

Jens Thöne

Thomas Beck

Marie-Pierre Jolly

Mehmet Akif Gulsun

Christophe Chefd'hotel

Gareth Funka-Lea

Xiaoguang Lu

Jens Gühring

Razvan Ioan Ionasec

Martin Harder

Xiaoming Bi

Christoph Guetter

Andre De Oliveira

Daniel Rinck

Edgar Müller

Uvo Hölscher

Christopher Glielmi

Randall Kroeker

Peter Weale

Johannes Ulrici

Jörg Rothard

Matthew Robson

Alexey Tsymbal

Dime Vitanovski

Stefan Wundrak

Bruce S Spottiswoode

Stefan Piechnik

Sebastian Dennert

Jens Thoene

Jana Hutter

Maria Kröll

René Kartmann

Manuela Rick

Wilfried Landschütz

Aurélien Stalder

Renate Jerecic

Florian Odoj

Tobias Wichmann

Eric Schrauben

Bernd Kühn

Titus Lanz

Marco Geissner

For data analytics in magnetic resonance (MR) scanning, the scanning configuration information and the resulting raw data are directly used to determine the analytics or clinical decision. Artificial intelligence provides a value for a clinical finding characteristic of the patient based on the raw data from scanning and the controls used to scan, allowing the value to be based on all of the information content of the scan results. Reconstruction is not needed, allowing for simpler hardware, such as hardware with less homogeneous B0 and/or B1 fields than the norm and/or non-linear gradients.

Artificial intelligence for end-to-end analytics in magnetic resonance scanning

A method of scanning an organ structure of a patient using magnetic resonance imaging, includes scanning, in a first scanning process, the patient to obtain first image data indicative of at least the organ structure of the patient. The method further includes determining, based on the first image data, one or more parameters obtain second image data indicative of at least the organ structure of the patient. The first scanning process includes a first quality of imaging scan, the second scanning process includes a second quality of imaging scan, and the first quality of imaging scan is higher than the second quality of imaging scan.

Magnetic resonance imaging of an organ structure

A method for operating a magnetic resonance device is provided. The magnetic resonance device includes a component that has an operating limit in relation to a state parameter. The component uses a protocol to record magnetic resonance data. The protocol includes a magnetic resonance sequence and is described by protocol parameters. A protocol parameter set that, in relation to a protocol section, allows the protocol section to be repeated as often as desired without exceeding the operating limit is provided or determined. The method includes receiving a boost parameter from a user interface. At least for the protocol section, adaptation parameters are determined at least partially automatically based on the boost parameter, such that the desired number of repetitions described by the boost parameter is established while complying with the operating limit. Magnetic resonance data is recorded with the protocol using the determined adaptation parameters.

Operating a magnetic resonance device

For autonomous MR scanning for a given medical test, a simplified MR scanner may be used without or will little input or control by a technologist (e.g., by a physician, radiologist, or person trained in MR scanner operation). The MR scanner autonomously positions, scans, checks quality, analyzes, and/or outputs an answer to a diagnostic question with or without an MR image. Scan analysis, based on artificial intelligence, allows for on-going or on-the-fly alteration of the scanning configuration to acquire the data desired to answer the diagnostic question. By using a simplified MR scanner, both position of the patient relative to the MR scanner and localization of the scan by the MR scanner are jointly solved. Sensors may sense a patient in a scan position where the reduced radio frequency requirements allow for a more open bore.

Autonomous magnetic resonance scanning for a given medical test

The disclosure relates to a technique for providing an image of diagnostically relevant area of a jaw region of a patient by means of a magnetic resonance apparatus by capturing information about the jaw region of the patient, which comprises at least one reference to a position and/or an extent of the diagnostically relevant area of the jaw region. The technique also includes adjusting a parameter of a magnetic resonance measurement as a function of the captured information about the jaw region of the patient, carrying out the magnetic resonance measurement with the adjusted parameter, capturing image data of the jaw region of the patient, reconstructing an image of the diagnostically relevant area of the jaw region as a function of the captured image data, and providing the image of the diagnostically relevant area of the jaw region of the patient.

Method and apparatus for imaging a jaw region

A magnetic resonance imaging device may include a field generator for generating at least one magnetic gradient field. The field generator may include a first magnet and a second magnet confining an imaging volume of the magnetic resonance imaging device in two spatial directions. The first magnet and the second magnet may be arranged asymmetrically with respect to the imaging volume. The magnetic resonance imaging device may be used to perform a method for acquiring an image of a diagnostically relevant body region of a patient.

Magnetic resonance imaging device with asymmetric field generation unit

A method for compiling a dental overview map of the dentition of an examination object on the basis of magnetic resonance (MR) data from a MR measurement of the dentition. Performing an MR measurement for acquiring MR data from the dentition. Performing an analysis of sections of the dentition in order to determine an abnormality on the basis of the MR data, wherein a section of the dentition includes a subset of the number of teeth in the dentition, and determining an abnormality in at least one section. Compiling a dental overview map as a function of the MR data and the abnormality of the at least one section of the dentition. Providing the dental overview map.

Dental overview map compilation

A magnetic resonance imaging device having a field generation unit configured to provide a magnetic field in an imaging volume of the magnetic resonance imaging device. The field generation unit has at least one magnet. A surface of the field generation unit directed towards the imaging volume of the at least one magnet has a concave shape, wherein a direction of access to the imaging volume is oriented essentially perpendicular to a main direction of magnetic field lines in the imaging volume.

Magnetic resonance imaging device with a concave-shaped field generation unit

A medical user interface for the combined use of at least two medical examination systems. The medical user interface includes a display data interface to connect to a display and to send medical display data to be displayed on the display, an input data interface to connect to an input device for receiving instructions of a user, a communication interface to a data connection with the medical examination systems, and a computer. The computer is designed to establish a data communication to the medical examination systems via the communication interface, and a) to create the display data and send the display data to the display, b) to process the instructions from a user, and c) to send control data to the medical examination systems or to receive and process medical examination data received from the medical examination systems.

Medical user interface

A magnetic resonance imaging system comprises a field generation unit and a supporting structure for providing structural support for the field generation unit, wherein the field generation unit comprises at least one magnet for generating a B0 magnetic field and an opening configured to provide access to an imaging volume positioned in the B0 magnetic field along at least one direction and wherein the at least one direction is angled with respect to a main direction of magnetic field lines of the B0 magnetic field in the imaging volume.

Magnetic resonance scanner and magnetic resonance imaging system

A system for medical data acquisition comprising a plurality of scanners and a plurality of infrastructure units to operate the scanners, wherein the system is designed to use at least one of the infrastructure units as a common infrastructure unit to operate at least two of the scanners. Also, a method to control this system.

Medical data acquisition

A device for NMR spectroscopy includes a magnet arrangement, configured to produce a magnetic probe field within a magnet field of view external to the magnet arrangement. In a embodiment, the device includes a coil arrangement, configured to generate an electromagnetic excitation field within a coil field of view and a controller, configured to control the coil arrangement. The device includes a magnet adjustment arrangement, configured and arranged to modify at least one parameter of the magnet arrangement to change a spatial position of the magnet field of view.

Device and method for nuclear magnet resonance spectroscopy

A magnetic resonance imaging system can include a magnetic field generator, an image acquisition region and a radiofrequency system including at least one radiofrequency antenna. The radiofrequency system can emit a radiofrequency excitation pulse into the image acquisition region and receive magnetic resonance signals from the image acquisition region. The magnetic field generator can include at least one magnet to generate a magnetic field in the image acquisition region, a magnet holder to carry the at least one magnet and a rotation system to position the magnet holder along a rotation trajectory.

Magnetic resonance imaging system with a rotatable magnet

In a method for analyzing acquired magnetic resonance images, an image series is provided that includes acquired magnetic resonance images of a slice of an object, picture elements of the acquired magnetic resonance images of the image series are fitted to generate a parameter map and an error map, the acquired magnetic resonance images are automatically segmented to generate image segments, histograms of the parameter map and the error map are generated based on the image segments, and the histograms are analyzed to generate an output of analysis results and/or generate a visualization including the parameter map, the error map, and the image segments. The acquired magnetic resonance images can have a variation of a contrast-determining acquisition parameter.

Method and device for analyzing acquired magnetic resonance images

In a method for controlling a magnetic resonance imaging system as part of functional magnetic resonance imaging, a main magnetic field B0 is provided having a field strength of at most 1.4 tesla at a main field magnet system () of the magnetic resonance imaging system (); and a measurement is performed as part of functional magnetic resonance imaging, wherein a measurement sequence (MS) is applied that has a longer echo time TE (e.g. longer than 100 ms).

Method and device for controlling a magnetic resonance imaging system as part of functional magnetic resonance imaging

Growing community of inventors

Erlangen, Germany

Andreas Greiser