Literature DB >> 19488989

Prospective real-time correction for arbitrary head motion using active markers.

Melvyn B Ooi1, Sascha Krueger, William J Thomas, Srirama V Swaminathan, Truman R Brown.   

Abstract

Patient motion during an MRI exam can result in major degradation of image quality, and is of increasing concern due to the aging population and its associated diseases. This work presents a general strategy for real-time, intraimage compensation of rigid-body motion that is compatible with multiple imaging sequences. Image quality improvements are established for structural brain MRI acquired during volunteer motion. A headband integrated with three active markers is secured to the forehead. Prospective correction is achieved by interleaving a rapid track-and-update module into the imaging sequence. For every repetition of this module, a short tracking pulse-sequence remeasures the marker positions; during head motion, the rigid-body transformation that realigns the markers to their initial positions is fed back to adaptively update the image-plane-maintaining it at a fixed orientation relative to the head-before the next imaging segment of k-space is acquired. In cases of extreme motion, corrupted lines of k-space are rejected and reacquired with the updated geometry. High-precision tracking measurements (0.01 mm) and corrections are accomplished in a temporal resolution (37 ms) suitable for real-time application. The correction package requires minimal additional hardware and is fully integrated into the standard user interface, promoting transferability to clinical practice. (c) 2009 Wiley-Liss, Inc.

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Year:  2009        PMID: 19488989      PMCID: PMC3033410          DOI: 10.1002/mrm.22082

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


  24 in total

1.  Motion correction with PROPELLER MRI: application to head motion and free-breathing cardiac imaging.

Authors:  J G Pipe
Journal:  Magn Reson Med       Date:  1999-11       Impact factor: 4.668

2.  A method for fast 3D tracking using tuned fiducial markers and a limited projection reconstruction FISP (LPR-FISP) sequence.

Authors:  C Flask; D Elgort; E Wong; A Shankaranarayanan; J Lewin; M Wendt; J L Duerk
Journal:  J Magn Reson Imaging       Date:  2001-11       Impact factor: 4.813

3.  A quantitative comparison of motion detection algorithms in fMRI.

Authors:  B A Ardekani; A H Bachman; J A Helpern
Journal:  Magn Reson Imaging       Date:  2001-09       Impact factor: 2.546

4.  Advantages and limitations of prospective head motion compensation for MRI using an optical motion tracking device.

Authors:  Christian Dold; Maxim Zaitsev; Oliver Speck; Evelyn A Firle; Jürgen Hennig; Georgios Sakas
Journal:  Acad Radiol       Date:  2006-09       Impact factor: 3.173

5.  Real-time rigid body motion correction and shimming using cloverleaf navigators.

Authors:  André J W van der Kouwe; Thomas Benner; Anders M Dale
Journal:  Magn Reson Med       Date:  2006-11       Impact factor: 4.668

6.  Spherical navigator registration using harmonic analysis for prospective motion correction.

Authors:  C L Wyatt; N Ari; R A Kraft
Journal:  Inf Process Med Imaging       Date:  2005

7.  Fast and accurate automatic registration for MR-guided procedures using active microcoils.

Authors:  Sascha Krueger; Stephan Wolff; Arno Schmitgen; Holger Timinger; Martin Bublat; Tobias Schaeffter; Arya Nabavi
Journal:  IEEE Trans Med Imaging       Date:  2007-03       Impact factor: 10.048

8.  Optomechanics with LEGO.

Authors:  F Quercioli; B Tiribilli; A Mannoni; S Acciai
Journal:  Appl Opt       Date:  1998-06-01       Impact factor: 1.980

9.  Spatial-frequency-tuned markers and adaptive correction for rotational motion.

Authors:  H W Korin; J P Felmlee; S J Riederer; R L Ehman
Journal:  Magn Reson Med       Date:  1995-05       Impact factor: 4.668

10.  Functional MRI: primary motor cortex localization in patients with brain tumors.

Authors:  A Righini; O de Divitiis; A Prinster; D Spagnoli; I Appollonio; L Bello; P Scifo; G Tomei; R Villani; F Fazio; M Leonardi
Journal:  J Comput Assist Tomogr       Date:  1996 Sep-Oct       Impact factor: 1.826

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  51 in total

1.  High-field MRI of brain iron.

Authors:  Jozef H Duyn
Journal:  Methods Mol Biol       Date:  2011

2.  An embedded optical tracking system for motion-corrected magnetic resonance imaging at 7T.

Authors:  Jessica Schulz; Thomas Siegert; Enrico Reimer; Christian Labadie; Julian Maclaren; Michael Herbst; Maxim Zaitsev; Robert Turner
Journal:  MAGMA       Date:  2012-06-13       Impact factor: 2.310

3.  Prospective motion correction using tracking coils.

Authors:  Lei Qin; Ehud J Schmidt; Zion Tsz Ho Tse; Juan Santos; William S Hoge; Clare Tempany-Afdhal; Kim Butts-Pauly; Charles L Dumoulin
Journal:  Magn Reson Med       Date:  2012-05-07       Impact factor: 4.668

4.  Prospective motion correction with volumetric navigators (vNavs) reduces the bias and variance in brain morphometry induced by subject motion.

Authors:  M Dylan Tisdall; Martin Reuter; Abid Qureshi; Randy L Buckner; Bruce Fischl; André J W van der Kouwe
Journal:  Neuroimage       Date:  2015-12-02       Impact factor: 6.556

5.  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 6.  From simultaneous to synergistic MR-PET brain imaging: A review of hybrid MR-PET imaging methodologies.

Authors:  Zhaolin Chen; Sharna D Jamadar; Shenpeng Li; Francesco Sforazzini; Jakub Baran; Nicholas Ferris; Nadim Jon Shah; Gary F Egan
Journal:  Hum Brain Mapp       Date:  2018-08-04       Impact factor: 5.038

Review 7.  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

8.  Reproducibility of brain MRS in older healthy adults at 7T.

Authors:  S Andrea Wijtenburg; Laura M Rowland; Georg Oeltzschner; Peter B Barker; Clifford I Workman; Gwenn S Smith
Journal:  NMR Biomed       Date:  2018-11-29       Impact factor: 4.044

9.  Prospective active marker motion correction improves statistical power in BOLD fMRI.

Authors:  Jordan Muraskin; Melvyn B Ooi; Robin I Goldman; Sascha Krueger; William J Thomas; Paul Sajda; Truman R Brown
Journal:  Neuroimage       Date:  2012-12-05       Impact factor: 6.556

10.  SimPACE: generating simulated motion corrupted BOLD data with synthetic-navigated acquisition for the development and evaluation of SLOMOCO: a new, highly effective slicewise motion correction.

Authors:  Erik B Beall; Mark J Lowe
Journal:  Neuroimage       Date:  2014-06-24       Impact factor: 6.556

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