Ge Precision Healthcare LLC

Haonan Wang

Dawei Gui

Xiaoli Zhao

Wei Sun

Ling Sun

Liewei Sha

Yawei Liu

Yan Ma

Methods and systems are provided for cardiac triggering of an imaging system. a method for an imaging system comprises acquiring, during a scan of a subject, an electrical signal indicating a periodic physiological motion of an organ of the subject, inputting a sample of the electrical signal into a trained neural network to detect whether a peak is present in the sample, triggering acquisition of image data responsive to detecting the peak in the sample, and not triggering the acquisition of image data responsive to not detecting the peak in the sample. In this way, the timing of data acquisition may be optimally and robustly synchronized with a cardiac cycle.

Systems and methods for cardiac triggering of an imaging system

Methods and systems are provided for predicting Bfield maps from magnetic resonance calibration images using deep neural networks. In an exemplary embodiment a method for magnetic resonance imaging comprises, acquiring a magnetic resonance (MR) calibration image of an anatomical region, mapping the MR calibration image to a transmit field map (Bfield map) with a trained deep neural network, acquiring a diagnostic MR image of the anatomical region, and correcting inhomogeneities of a transmit field in the diagnostic MR image with the Bfield map. Further, methods and systems are provided for collecting and processing training data, as well as utilizing the training data to train a deep learning network to predict Bfield maps from MR calibration images.

Systems and methods for predicting Bmaps from magnetic resonance calibration images

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Waukesha, WI, United States of America

Haonan Wang