Literature DB >> 24006354

Revised motion estimation algorithm for PROPELLER MRI.

James G Pipe1, Wende N Gibbs, Zhiqiang Li, John P Karis, Michael Schar, Nicholas R Zwart.   

Abstract

PURPOSE: To introduce a new algorithm for estimating data shifts (used for both rotation and translation estimates) for motion-corrected PROPELLER MRI. The method estimates shifts for all blades jointly, emphasizing blade-pair correlations that are both strong and more robust to noise. THEORY AND METHODS: The heads of three volunteers were scanned using a PROPELLER acquisition while they exhibited various amounts of motion. All data were reconstructed twice, using motion estimates from the original and new algorithm. Two radiologists independently and blindly compared 216 image pairs from these scans, ranking the left image as substantially better or worse than, slightly better or worse than, or equivalent to the right image.
RESULTS: In the aggregate of 432 scores, the new method was judged substantially better than the old method 11 times, and was never judged substantially worse.
CONCLUSION: The new algorithm compared favorably with the old in its ability to estimate bulk motion in a limited study of volunteer motion. A larger study of patients is planned for future work.
Copyright © 2013 Wiley Periodicals, Inc.

Entities:  

Keywords:  MRI; PROPELLER; motion

Mesh:

Year:  2013        PMID: 24006354     DOI: 10.1002/mrm.24929

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


  11 in total

1.  Elimination of motion and pulsation artifacts using BLADE sequences in shoulder MR imaging.

Authors:  E Lavdas; M Vlychou; E Zaloni; K Vassiou; A Tsagkalis; Z Dailiana; I Fezoulidis
Journal:  Skeletal Radiol       Date:  2015-08-26       Impact factor: 2.199

Review 2.  [Modern magnetic resonance imaging of the liver].

Authors:  D M Hedderich; K Weiss; D Maintz; T Persigehl
Journal:  Radiologe       Date:  2015-12       Impact factor: 0.635

3.  Revised PROPELLER for T2-weighted imaging of the prostate at 3 Tesla: impact on lesion detection and PI-RADS classification.

Authors:  Michael Meier-Schroers; Christian Marx; Frederic Carsten Schmeel; Karsten Wolter; Jürgen Gieseke; Wolfgang Block; Alois Martin Sprinkart; Frank Traeber; Winfried Willinek; Hans Heinz Schild; Guido Matthias Kukuk
Journal:  Eur Radiol       Date:  2017-07-07       Impact factor: 5.315

4.  Quiet PROPELLER MRI techniques match the quality of conventional PROPELLER brain imaging techniques.

Authors:  I Corcuera-Solano; A Doshi; P S Pawha; D Gui; A Gaddipati; L Tanenbaum
Journal:  AJNR Am J Neuroradiol       Date:  2015-02-12       Impact factor: 3.825

5.  Whole-brain amide CEST imaging at 3T with a steady-state radial MRI acquisition.

Authors:  Ran Sui; Lin Chen; Yuguo Li; Jianpan Huang; Kannie W Y Chan; Xiang Xu; Peter C M van Zijl; Jiadi Xu
Journal:  Magn Reson Med       Date:  2021-03-27       Impact factor: 3.737

6.  A New Joint-Blade SENSE Reconstruction for Accelerated PROPELLER MRI.

Authors:  Mengye Lyu; Yilong Liu; Victor B Xie; Yanqiu Feng; Hua Guo; Ed X Wu
Journal:  Sci Rep       Date:  2017-02-16       Impact factor: 4.379

7.  Three-dimensional motion corrected sensitivity encoding reconstruction for multi-shot multi-slice MRI: Application to neonatal brain imaging.

Authors:  Lucilio Cordero-Grande; Emer J Hughes; Jana Hutter; Anthony N Price; Joseph V Hajnal
Journal:  Magn Reson Med       Date:  2017-06-19       Impact factor: 4.668

8.  Motion-corrected MRI with DISORDER: Distributed and incoherent sample orders for reconstruction deblurring using encoding redundancy.

Authors:  Lucilio Cordero-Grande; Giulio Ferrazzi; Rui Pedro A G Teixeira; Jonathan O'Muircheartaigh; Anthony N Price; Joseph V Hajnal
Journal:  Magn Reson Med       Date:  2020-01-03       Impact factor: 4.668

9.  Robustness of a Combined Modified Dixon and PROPELLER Sequence with Two Interleaved Echoes in Clinical Head and Neck MRI.

Authors:  Yutaka Shigenaga; Daisuke Takenaka; Tomohisa Hashimoto; Takayuki Ishida
Journal:  Magn Reson Med Sci       Date:  2020-04-07       Impact factor: 2.471

10.  Image quality improvement of single-shot turbo spin-echo magnetic resonance imaging of female pelvis using a convolutional neural network.

Authors:  Tomofumi Misaka; Nobuyuki Asato; Yukihiko Ono; Yukino Ota; Takuma Kobayashi; Kensuke Umehara; Junko Ota; Masanobu Uemura; Ryuichiro Ashikaga; Takayuki Ishida
Journal:  Medicine (Baltimore)       Date:  2020-11-20       Impact factor: 1.817

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