Siemens Healthcare Gmbh

Mayo Foundation for Medical Education and Research

Peter Kollasch

Vibhas S Deshpande

Venkata Veerendranadh Chebrolu

Dingxin Wang

Puneet Sharma

Xiaoguang Lu

Johann Sukkau

Lars Lauer

Heiko Meyer

Joel P Felmlee

Michael Wullenweber

Keith Aaron Heberlein

John William Grinstead

Eric G Stinson

Abraham Padua, Jr

Matthew A Frick

Kimberly K Amrami

Jacob Stolk

Andreas Schäfer

Dieter Faust

Systems and methods for generating images with a magnetic resonance imaging ('MRI') system, in which the images have been corrected for receive coil nonuniformities are described. Improved data acquisition schemes for fat saturation are also described.

Method for uniform reconstruction of multi-channel surface-coil magnetic resonance data without use of a reference scan

The present disclosure is directed to systems and methods for visualizing low-intensity pathologies or anatomical structures. The method can include applying, via a MRI machine, an RF pulse configured to suppress the imaging of fat in the subject and acquiring, via the MRI machine, an image of the subject. A subtle intensity graduating homomorphic transform is applied to the acquired image to provide improved visualized of the low-intensity pathology or anatomical structure. The resulting transformed image can be output to the user.

Subtle intensity graduating homomorphic transform to improve conspicuity of low-intensity pathologies

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

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

A system for generating medical image scanner configurations includes a scanner configuration database and a simulation component. The database stores a scanner configuration dataset corresponding to a medical image scanner. The simulation component includes a display module which is configured to present a graphical user interface (GUI) utilized by the medical image scanner, and an editing module which is configured to create a modified scanner configuration dataset based on commands received from a user via the GUI. Additionally, the simulation component includes a simulation module which is configured to (i) perform a simulation of the medical image scanner using the modified scanner configuration dataset to yield simulated results, (ii) use the display module to present the simulated results in the GUI, and (iii) in response to receiving user approval of the simulated results via the GUI, save the modified scanner configuration dataset to the database.

Enterprise protocol management

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

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Minnetonka, MN, United States of America

Peter Kollasch