Literature DB >> 19877274

Characterizing and correcting gradient errors in non-cartesian imaging: Are gradient errors linear time-invariant (LTI)?

Ethan K Brodsky1, Alexey A Samsonov, Walter F Block.   

Abstract

Non-Cartesian and rapid imaging sequences are more sensitive to scanner imperfections such as gradient delays and eddy currents. These imperfections vary between scanners and over time and can be a significant impediment to successful implementation and eventual adoption of non-Cartesian techniques by scanner manufacturers. Differences between the k-space trajectory desired and the trajectory actually acquired lead to misregistration and reduction in image quality. While early calibration methods required considerable scan time, more recent methods can work more quickly by making certain approximations. We examine a rapid gradient calibration procedure applied to multiecho three-dimensional projection reconstruction (3DPR) acquisitions in which the calibration runs as part of every scan. After measuring the trajectories traversed for excitations on each of the orthogonal gradient axes, trajectories for the oblique projections actually acquired during the scan are synthesized as linear combinations of these measurements. The ability to do rapid calibration depends on the assumption that gradient errors are linear and time-invariant (LTI). This work examines the validity of these assumptions and shows that the assumption of linearity is reasonable, but that gradient errors can vary over short time periods (due to changes in gradient coil temperature) and thus it is important to use calibration data matched to the scan data. (c) 2009 Wiley-Liss, Inc.

Entities:  

Mesh:

Year:  2009        PMID: 19877274      PMCID: PMC2857383          DOI: 10.1002/mrm.22100

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  13 in total

1.  Referenceless interleaved echo-planar imaging.

Authors:  S B Reeder; E Atalar; A Z Faranesh; E R McVeigh
Journal:  Magn Reson Med       Date:  1999-01       Impact factor: 4.668

2.  Centering the projection reconstruction trajectory: reducing gradient delay errors.

Authors:  Dana C Peters; J Andrew Derbyshire; Elliot R McVeigh
Journal:  Magn Reson Med       Date:  2003-07       Impact factor: 4.668

3.  Rapid fat-suppressed isotropic steady-state free precession imaging using true 3D multiple-half-echo projection reconstruction.

Authors:  Aiming Lu; Ethan Brodsky; Thomas M Grist; Walter F Block
Journal:  Magn Reson Med       Date:  2005-03       Impact factor: 4.668

4.  Consistent non-cartesian off-axis MRI quality: calibrating and removing multiple sources of demodulation phase errors.

Authors:  Youngkyoo Jung; Yogesh Jashnani; Richard Kijowski; Walter F Block
Journal:  Magn Reson Med       Date:  2007-01       Impact factor: 4.668

5.  Reconstructions of phase contrast, phased array multicoil data.

Authors:  M A Bernstein; M Grgic; T J Brosnan; N J Pelc
Journal:  Magn Reson Med       Date:  1994-09       Impact factor: 4.668

6.  Compensation of multi-dimensional selective excitation pulses using measured k-space trajectories.

Authors:  A Takahashi; T Peters
Journal:  Magn Reson Med       Date:  1995-09       Impact factor: 4.668

7.  A method to measure arbitrary k-space trajectories for rapid MR imaging.

Authors:  G F Mason; T Harshbarger; H P Hetherington; Y Zhang; G M Pohost; D B Twieg
Journal:  Magn Reson Med       Date:  1997-09       Impact factor: 4.668

8.  Simultaneous multislice acquisition using rosette trajectories (SMART): a new imaging method for functional MRI.

Authors:  D C Noll; S J Peltier; F E Boada
Journal:  Magn Reson Med       Date:  1998-05       Impact factor: 4.668

9.  A general method for measurement of the time integral of variant magnetic field gradients: application to 2D spiral imaging.

Authors:  N G Papadakis; A A Wilkinson; T A Carpenter; L D Hall
Journal:  Magn Reson Imaging       Date:  1997       Impact factor: 2.546

10.  Reduction of pulsed gradient settling time in the superconducting magnet of a magnetic resonance instrument.

Authors:  D J Jensen; W W Brey; J L Delayre; P A Narayana
Journal:  Med Phys       Date:  1987 Sep-Oct       Impact factor: 4.071

View more
  28 in total

1.  Robust EPI Nyquist ghost elimination via spatial and temporal encoding.

Authors:  W Scott Hoge; Huan Tan; Robert A Kraft
Journal:  Magn Reson Med       Date:  2010-07-27       Impact factor: 4.668

2.  NonCartesian MR image reconstruction with integrated gradient nonlinearity correction.

Authors:  Shengzhen Tao; Joshua D Trzasko; Yunhong Shu; John Huston; Kevin M Johnson; Paul T Weavers; Erin M Gray; Matt A Bernstein
Journal:  Med Phys       Date:  2015-12       Impact factor: 4.071

3.  Algebraic reconstruction technique for parallel imaging reconstruction of undersampled radial data: application to cardiac cine.

Authors:  Shu Li; Cheong Chan; Jason P Stockmann; Hemant Tagare; Ganesh Adluru; Leo K Tam; Gigi Galiana; R Todd Constable; Sebastian Kozerke; Dana C Peters
Journal:  Magn Reson Med       Date:  2014-04-18       Impact factor: 4.668

4.  Inductive measurement and encoding of k-space trajectories in MR raw data.

Authors:  Jan Ole Pedersen; Christian G Hanson; Rong Xue; Lars G Hanson
Journal:  MAGMA       Date:  2019-07-30       Impact factor: 2.310

Review 5.  Magnetic Resonance Imaging of Hard Tissues and Hard Tissue Engineered Bio-substitutes.

Authors:  Simone Mastrogiacomo; Weiqiang Dou; John A Jansen; X Frank Walboomers
Journal:  Mol Imaging Biol       Date:  2019-12       Impact factor: 3.488

6.  Autocalibrated wave-CAIPI reconstruction; Joint optimization of k-space trajectory and parallel imaging reconstruction.

Authors:  Stephen F Cauley; Kawin Setsompop; Berkin Bilgic; Himanshu Bhat; Borjan Gagoski; Lawrence L Wald
Journal:  Magn Reson Med       Date:  2016-10-21       Impact factor: 4.668

7.  Effect of k-space-weighted image contrast and ultrasound focus size on the accuracy of proton resonance frequency thermometry.

Authors:  Bryant T Svedin; Christopher R Dillon; Dennis L Parker
Journal:  Magn Reson Med       Date:  2018-07-29       Impact factor: 4.668

8.  Simple method for MR gradient system characterization and k-space trajectory estimation.

Authors:  Nii Okai Addy; Holden H Wu; Dwight G Nishimura
Journal:  Magn Reson Med       Date:  2011-12-21       Impact factor: 4.668

9.  Self-calibrated trajectory estimation and signal correction method for robust radial imaging using GRAPPA operator gridding.

Authors:  Anagha Deshmane; Martin Blaimer; Felix Breuer; Peter Jakob; Jeffrey Duerk; Nicole Seiberlich; Mark Griswold
Journal:  Magn Reson Med       Date:  2015-03-11       Impact factor: 4.668

10.  A rapid and robust gradient measurement technique using dynamic single-point imaging.

Authors:  Hyungseok Jang; Alan B McMillan
Journal:  Magn Reson Med       Date:  2016-10-03       Impact factor: 4.668

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.