Literature DB >> 9211383

Diffusion-weighted multiple shot echo planar imaging of humans without navigation.

M D Robson1, A W Anderson, J C Gore.   

Abstract

A new method is proposed for reducing the artifacts produced in diffusion-weighted imaging. When data are acquired using multiple shot echo planar acquisitions, conventional reconstruction methods produce artifactual images as a consequence of diffusion weighting and small amounts of bulk motion of the subject. If the amount of motion can be determined, it is possible to correct the data before reconstruction, which removes the artifact. A method for estimating the motion from the acquired data has been developed and evaluated. This method assumes that ghost image effects will be minimized when motion has been correctly compensated. By considering the amount of signal in the background of the image, appropriate corrections to the data can be made, and the accuracy of the motion compensation may be estimated. This technique has been evaluated by computer simulation, and its performance has been demonstrated in a phantom and humans with both two- and four-shot echo planar acquisitions and using both "mosaic" and "interleaved" sampling schemes.

Entities:  

Mesh:

Year:  1997        PMID: 9211383     DOI: 10.1002/mrm.1910380113

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


  21 in total

1.  POCS-based reconstruction of multiplexed sensitivity encoded MRI (POCSMUSE): A general algorithm for reducing motion-related artifacts.

Authors:  Mei-Lan Chu; Hing-Chiu Chang; Hsiao-Wen Chung; Trong-Kha Truong; Mustafa R Bashir; Nan-kuei Chen
Journal:  Magn Reson Med       Date:  2014-11-13       Impact factor: 4.668

2.  Reduced-distortion diffusion MRI of the craniovertebral junction.

Authors:  M Iima; A Yamamoto; V Brion; T Okada; M Kanagaki; K Togashi; D Le Bihan
Journal:  AJNR Am J Neuroradiol       Date:  2012-03-01       Impact factor: 3.825

3.  Readout-segmented EPI for rapid high resolution diffusion imaging at 3 T.

Authors:  Samantha J Holdsworth; Stefan Skare; Rexford D Newbould; Raphael Guzmann; Nikolas H Blevins; Roland Bammer
Journal:  Eur J Radiol       Date:  2007-11-05       Impact factor: 3.528

4.  Differentiation of triple-negative breast cancer from other subtypes through whole-tumor histogram analysis on multiparametric MR imaging.

Authors:  Tianwen Xie; Qiufeng Zhao; Caixia Fu; Qianming Bai; Xiaoyan Zhou; Lihua Li; Robert Grimm; Li Liu; Yajia Gu; Weijun Peng
Journal:  Eur Radiol       Date:  2018-11-06       Impact factor: 5.315

Review 5.  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

6.  Prospective motion correction of segmented diffusion weighted EPI.

Authors:  Michael Herbst; Benjamin Zahneisen; Benjamin Knowles; Maxim Zaitsev; Thomas Ernst
Journal:  Magn Reson Med       Date:  2014-12-01       Impact factor: 4.668

7.  Real-time MR thermometry for monitoring HIFU ablations of the liver.

Authors:  Andrew B Holbrook; Juan M Santos; Elena Kaye; Viola Rieke; Kim Butts Pauly
Journal:  Magn Reson Med       Date:  2010-02       Impact factor: 4.668

8.  A robust multi-shot scan strategy for high-resolution diffusion weighted MRI enabled by multiplexed sensitivity-encoding (MUSE).

Authors:  Nan-Kuei Chen; Arnaud Guidon; Hing-Chiu Chang; Allen W Song
Journal:  Neuroimage       Date:  2013-01-28       Impact factor: 6.556

Review 9.  New methods in diffusion-weighted and diffusion tensor imaging.

Authors:  Roland Bammer; Samantha J Holdsworth; Wouter B Veldhuis; Stefan T Skare
Journal:  Magn Reson Imaging Clin N Am       Date:  2009-05       Impact factor: 2.266

10.  Robust GRAPPA-accelerated diffusion-weighted readout-segmented (RS)-EPI.

Authors:  Samantha J Holdsworth; Stefan Skare; Rexford D Newbould; Roland Bammer
Journal:  Magn Reson Med       Date:  2009-12       Impact factor: 4.668

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.