Literature DB >> 15282816

Self-navigated motion correction using moments of spatial projections in radial MRI.

Edward Brian Welch1, Phillip J Rossman, Joel P Felmlee, Armando Manduca.   

Abstract

Interest in radial MRI (also known as projection reconstruction (PR) MRI) has increased recently for uses such as fast scanning and undersampled acquisitions. Additionally, PR acquisitions offer intrinsic advantages over standard two-dimensional Fourier transform (2DFT) imaging with respect to motion of the imaged object. It is well known that aligning each spatial domain projection's center of mass (calculated using the 0th and 1st moments) to the center of the field of view (FOV) corrects shifts caused by in-plane translation. In this work, a previously unrealized ability to determine the in-plane rotational motion of an imaged object using the 2nd moments of the spatial domain projections in conjunction with a specific projection angle acquisition time order is reported. We performed the correction using only the PR data itself acquired with the newly proposed projection angle acquisition time order. With the proposed view angle acquisition order, the acquisition is "self-navigating" with respect to both in-plane translation and rotation. We reconstructed the images using the aligned projections and detected acquisition angles to significantly reduce image artifacts due to such motion. The theory of the correction technique is described, and its effectiveness is demonstrated in phantom and in vivo experiments.

Mesh:

Year:  2004        PMID: 15282816     DOI: 10.1002/mrm.20151

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


  14 in total

1.  4D radial contrast-enhanced MR angiography with sliding subtraction.

Authors:  Ty A Cashen; Hyun Jeong; Maulin K Shah; Hem M Bhatt; Wanyong Shin; James C Carr; Matthew T Walker; H Hunt Batjer; Timothy J Carroll
Journal:  Magn Reson Med       Date:  2007-11       Impact factor: 4.668

2.  Head motion measurement and correction using FID navigators.

Authors:  Tess E Wallace; Onur Afacan; Maryna Waszak; Tobias Kober; Simon K Warfield
Journal:  Magn Reson Med       Date:  2018-07-29       Impact factor: 4.668

Review 3.  Motion artifacts in MRI: A complex problem with many partial solutions.

Authors:  Maxim Zaitsev; Julian Maclaren; Michael Herbst
Journal:  J Magn Reson Imaging       Date:  2015-01-28       Impact factor: 4.813

4.  Comparison of optical and MR-based tracking.

Authors:  Kazim Gumus; Brian Keating; Nathan White; Brian Andrews-Shigaki; Brian Armstrong; Julian Maclaren; Maxim Zaitsev; Anders Dale; Thomas Ernst
Journal:  Magn Reson Med       Date:  2014-09-24       Impact factor: 4.668

5.  Respiratory motion correction for free-breathing 3D abdominal MRI using CNN-based image registration: a feasibility study.

Authors:  Jun Lv; Ming Yang; Jue Zhang; Xiaoying Wang
Journal:  Br J Radiol       Date:  2018-01-31       Impact factor: 3.039

6.  Simple and robust saturation-based slice selection for ultrashort echo time MRI.

Authors:  Kevin D Harkins; R Adam Horch; Mark D Does
Journal:  Magn Reson Med       Date:  2014-07-09       Impact factor: 4.668

7.  Retrospective correction of head motion using measurements from an electromagnetic tracker.

Authors:  Onur Afacan; Tess E Wallace; Simon K Warfield
Journal:  Magn Reson Med       Date:  2019-08-10       Impact factor: 4.668

8.  Intrinsic detection of motion in segmented sequences.

Authors:  Jason Mendes; Dennis L Parker
Journal:  Magn Reson Med       Date:  2010-11-03       Impact factor: 4.668

Review 9.  Motion correction in MRI of the brain.

Authors:  F Godenschweger; U Kägebein; D Stucht; U Yarach; A Sciarra; R Yakupov; F Lüsebrink; P Schulze; O Speck
Journal:  Phys Med Biol       Date:  2016-02-11       Impact factor: 3.609

10.  Self-Navigated Three-Dimensional Ultrashort Echo Time Technique for Motion-Corrected Skull MRI.

Authors:  Hyunyeol Lee; Xia Zhao; Hee Kwon Song; Felix W Wehrli
Journal:  IEEE Trans Med Imaging       Date:  2020-03-04       Impact factor: 10.048

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