arrow
Return

Radial Imaging With Multipolar Magnetic Encoding Fields

delete2011-12-01
delete14
PRE
AI
H
Hans Weber
D
Daniel Gallichan
W
Walter R. Witschey
A
Anna M. Welz
C
Chris A. Cocosco
J
Jürgen Hennig
M
Maxim Zaitsev
DOI:10.1109/TMI.2011.2164262delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
We present reconstruction methods for radial magnetic resonance imaging (MRI) data which were spatially encoded using a pair of orthogonal multipolar magnetic fields for in-plane encoding and parallel imaging. It is shown that a direct method exists in addition to iterative reconstruction. Standard direct projection reconstruction algorithms can be combined with a previously developed direct reconstruction for multipolar encoding fields acquired with Cartesian trajectories. The algorithm is simplified by recasting the reconstruction problem into polar coordinates. In this formulation distortion and aliasing become separate effects. Distortion occurs only along the radial direction and aliasing along the azimuthal direction. Moreover, aliased points are equidistantly distributed in this representation, and, consequently, Cartesian SENSE is directly applicable with highly effective unfolding properties for radio-frequency coils arranged with a radial symmetry. The direct and iterative methods are applied to simulated data to analyze basic properties of the algorithms and for the first time also measured in vivo data are presented. The results are compared to linear spatial encoding using a radial trajectory and quadrupolar encoding using a Cartesian trajectory. The direct reconstruction gives good results for fully sampled datasets. Undersampled datasets, however, show star-shaped artifacts, which are significantly reduced with the iterative reconstruction.
Keywords:
Image reconstruction
nonlinear encoding fields
parallel imaging
radial imaging
spatial encoding
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

IEEE Transactions on Medical Imaging cover
IEEE Transactions on Medical Imaging
IF:
9.8
Papers:
6.2K
Citations:
3.7W

Organization

U
University of Freiburg
Scholars:
3.3W
Papers: 2.4W
Citations: 3.4W
Cited Papers

Cited Papers

Implementation as Resemblance
err2022-01-01
err0
errOAAI
errAndré Curtis-Trudel
errShare
errSave
Partially parallel imaging with localized sensitivities (PILS)
err2000-01-01
err338
errOAAI
errGriswold, MA; Jakob, PM; Nittka, M; Goldfarb, JW; Haase, A
errShare
errSave
errShare
errSave
Reconstruction of MRI Data Encoded With Arbitrarily Shaped, Curvilinear, Nonbijective Magnetic Fields
err2010-09-16
err76
errOAAI
errSchultz, Gerrit; Ullmann, Peter; Lehr, Heinrich; Welz, Anna M.; Hennig, Juergen; Zaitsev, Maxim
errShare
errSave
Reconstruction of undersampled non-cartesian data sets using pseudo-cartesian GRAPPA in conjunction with GROG
err2008-04-21
err46
PREAI
errSeiberlich, Nicole; Breuer, Felix; Heidemann, Robin; Blaimer, Martin; Griswold, Mark; Jakob, Peter
errShare
errSave
Modeling of electric vehicle fast charging station and impact on network voltage
err2013-11-01
err0
PREAI
errJia Ying Yong; Vigna K. Ramachandaramurthy; Kang Miao Tan; Atputharajah Arulampalam; Jeyraj Selvaraj
errShare
errSave
Iterative reconstruction algorithms in nuclear medicine
err2001-03-01
err114
PREAI
errVandenberghe, S; D'Asseler, Y; Van de Walle, R; Kauppinen, T; Koole, M; Bouwens, L; Van Laere, K; Lemahieu, I; Dierckx, RA
errShare
errSave
researcher View more