Fast eddy current compensation by feedback linearization neural networks: Applications in diffusion-weighted echo planar imaging
Journal
Concepts in Magnetic Resonance Part B: Magnetic Resonance Engineering
Journal Volume
29
Journal Issue
1
Pages
1 - 8
Date Issued
2006-02
Author(s)
Abstract
This study describes the application of the method of feedback linearization neural networks, known from neural network computing, to the problem of gradient preemphasis. This approach of preemphasis adjustment does not require an iterative procedure between measurement and adjustment, therefore is essentially instantaneous in its execution. Based on our study, gradient compensation determined by our procedure effectively suppressed eddy current-induced geometric distortion and spatial shift of diffusion-weighted EPI images. © 2006 Wiley Periodicals, Inc.
Subjects
DW-EPI; Eddy current; Feedback linearization neural networks; Preemphasis adjustment
Type
journal article