METHOD AND SYSTEMS FOR REDUCING ARTIFACTS IN MAGNETIC RESONANCE IMAGING

Patent №

US 10,690,741

Granted

2020-06-23

Filed 2018

Owner

GENERAL ELECTRIC COMPANY

Lab

AI components

1

vision

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15965763

Various methods and systems are provided for ghost artifact reduction in magnetic resonance imaging (MRI). In one embodiment, a method for an MRI system comprises acquiring a non-phase-encoded reference dataset, calculating phase corrections for spatial orders higher than first order from the non-phase-encoded reference dataset, acquiring a phase-encoded k-space dataset, correcting the phase-encoded k-space dataset with the phase corrections, and reconstructing an image from the corrected phase-encoded k-space dataset. In this way, ghost artifacts caused by phase errors during EPI may be substantially reduced, thereby improving image quality especially when imaging with a large field of view.

VisionG01R 33/56554G01R 33/56341G01R 33/56509G01R 33/5616

AI classification

Vision1.00
Planning0.00
Natural language0.00
Evolutionary computation0.00
Knowledge representation0.00
AI hardware0.00
Machine learning0.00
Speech0.00

Ownership

GENERAL ELECTRIC COMPANY

assignment · 456610804

Assignors

ZHU, QUAN, WU, GAOHONG, CHANG, SHAORONG, HINKS, RICHARD

On an employer assignment, the assignors are typically the inventors.

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