Multi-dimensional iterative phase-cycled reconstruction for MRI images

摘要

Methods, systems, computer programs, circuits and workstations are configured to carry out image processing to generate MRI images with reduced aliasing artifacts (e.g., Nyquist and/or motion-induced image artifacts) by (a) electronically reconstructing a series of images using patient image data obtained from a patient MRI image data set by iteratively cycling through different estimated values of phase gradients in at least two dimensions; and (b) electronically selecting an image from the reconstructed images as having a lowest artifact level.

主权项

1. A method for generating MRI images with reduced aliasing artifacts in either non-parallel or parallel MRI, comprising:
electronically reconstructing a series of images using patient image data obtained from a patient MRI image data set by iteratively cycling through different estimated values of phase gradients in at least two dimensions; and electronically selecting an image from the reconstructed images as having a lowest artifact level, wherein the electronically reconstructing step comprises, for a respective image slice, generating a first series of images using different possible phase gradient values along a frequency encoding direction and a second series of images using different possible values of phase gradients along a phase-encoding direction; the method further comprising: generating 1D image signal profiles associated with the reconstructed first and second series of images; and multiplying the 1D image signal profiles by a respective sigmoid-function weight to generate sigmoid-weighted signals, wherein the electronically selecting step is carried out using the sigmoid-weighted signals to identify phase error patterns.