University of Minnesota

Duke University

Noam Harel

Gregory F Molnar

Steen Moeller

Guillermo Sapiro

Gregor Adriany

Edward Auerbach

Henry Braun

Tara Palnitkar

Yigitcan Eryaman

Oren Solomon

Remi Patriat

A system and method are provided for creating magnetic resonance (MR) images with reduced motion artifacts from the MR data from which the images are produced. The method includes selecting a candidate image from a plurality of candidate images reconstructed from the MR data. The method also includes registering the candidate image to a reference image, comparing the candidate image to a consistency map, and, based on comparing the candidate image using the consistency map, selecting a blending algorithm. The method also includes generating a blended image using the blending algorithm and the candidate image and repeating these steps for each candidate image. The method also includes performing a Fourier aggregation to generate a combined image and displaying the combined image with reduced motion artifacts compared to the plurality of candidate images.

System and method for control of motion in medical images using aggregation

Systems and method for measuring and mitigating radio frequency ('RF') induced currents on electrical leads, electrodes, and other electrically conductive objects present in the bore of a magnetic resonance imaging ('MRI') scanner when the MRI scanner is operated to image an object or subject are described. The methods described in the present disclosure can be implemented as a pre-scan procedure to obtain images from which the current induced on the electrical lead can be estimated. This information can then be used to adjust the RF excitation used in a subsequent pulse sequence to mitigate induced currents and reduce heating in the lead. As such, the methods described in the present disclosure provide for improved patient safety.

Methods for measuring induced currents on electrical leads and electrodes in magnetic resonance imaging

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Minneapolis, MN, United States of America

Noam Harel