Method and system of motion correction for magnetic resonance imaging

Abstract

A method and system for reducing or removing motion artefacts in magnetic resonance (MR) images, the method including the steps of: receiving a motion corrupted MR image; determining a corrected intensity value for each pixel in the motion corrupted MR image by using a neural network; and generating a motion corrected MR image based on the determined corrected intensity values for the pixels in the motion corrupted MR image.

Description

technical field [0001] The present invention generally relates to a method and system for motion artifact correction in medical imaging, in particular magnetic resonance imaging (MRI). Background technique [0002] Magnetic resonance imaging (MRI) is a medical imaging technique that uses strong magnets and radio frequency pulses to generate signals from a patient's body and form pictures of the body's anatomical and physiological processes. One of the major challenges in MRI is patient motion during magnetic resonance (MR) data acquisition. The presence of motion during an MRI scan can cause image blurring and incoherence artifacts, and thus reduce the quality of the images obtained. Therefore, repeat scans are often required to achieve diagnostic quality images. [0003] To solve this problem, various motion correction techniques have been proposed. One known approach involves detecting and correcting for patient motion (also referred to as "intra-frame motion") during t...

AI Technical Summary

Problems solved by technology

However, k-space or image navigators may interfere with MR sequence echo time (TE), repetition time (TR), and other imaging parameters

This can lead to low signal-to-noise ratio (SNR) and increased scan time

Furthermore, each MR sequence needs to be redesigned to integrate a k-space or image navigator, which is critically incompatible with all imaging sequences

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