Literature DB >> 28129151

A Method for Measuring Orientation Within a Magnetic Resonance Imaging Scanner Using Gravity and the Static Magnetic Field (VectOrient).

Adam van Niekerk, Andre van der Kouwe, Ernesta Meintjes.   

Abstract

In MRI brain imaging, subject motion limits obtainable image clarity. Due to the hardware layout of an MRI scanner, gradient excitations can be used to rapidly detect position. Orientation, however, is more difficult to detect and is commonly calculated by comparing the position measurements of multiple spatially constrained points to a reference dataset. The result is increased size of the apparatus the subject must wear, which can influence the imaging workflow. In optical based methods marker attachment sites are limited due to the line of sight requirement between the camera and marker, and an external reference frame is introduced. To address these challenges a method called VectOrient is proposed for orientation measurement that is based on vector observations of gravity and the MRI scanner's static magnetic field. A prototype device comprising of an accelerometer, magnetometer and angular rate sensor shows good MRI compatibility. Phantom scans of a pineapple with zero scanner specific calibration achieve comparable results to a rigid body registration algorithm with deviations less than 0.8 degrees over 28 degree changes in orientation. Dynamic performance shows potential for prospective motion correction as rapid changes in orientation (peak 20 degrees per second) can be corrected. The pulse sequence implemented achieves orientation updates with a latency estimated to be less than 12.7 ms, of which only a small fraction (<1 ms) is used for computing orientation from the raw sensor signals. The device is capable of quantifying subject respiration and heart rates. The proposed approach for orientation estimation could help address some limitations of existing methods such as orientation measurement range, temporal resolution, ease of use and marker placement.

Entities:  

Mesh:

Year:  2017        PMID: 28129151      PMCID: PMC5637283          DOI: 10.1109/TMI.2017.2652502

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN: 0278-0062            Impact factor:   10.048


  14 in total

1.  Magnetic resonance imaging of freely moving objects: prospective real-time motion correction using an external optical motion tracking system.

Authors:  M Zaitsev; C Dold; G Sakas; J Hennig; O Speck
Journal:  Neuroimage       Date:  2006-04-05       Impact factor: 6.556

2.  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

3.  Head motion detection using FID navigators.

Authors:  Tobias Kober; José P Marques; Rolf Gruetter; Gunnar Krueger
Journal:  Magn Reson Med       Date:  2011-02-17       Impact factor: 4.668

4.  Real-time motion correction using gradient tones and head-mounted NMR field probes.

Authors:  Maximilian Haeberlin; Lars Kasper; Christoph Barmet; David O Brunner; Benjamin E Dietrich; Simon Gross; Bertram J Wilm; Sebastian Kozerke; Klaas P Pruessmann
Journal:  Magn Reson Med       Date:  2014-09-12       Impact factor: 4.668

5.  Real-time motion and B0 corrected single voxel spectroscopy using volumetric navigators.

Authors:  Aaron T Hess; M Dylan Tisdall; Ovidiu C Andronesi; Ernesta M Meintjes; André J W van der Kouwe
Journal:  Magn Reson Med       Date:  2011-03-04       Impact factor: 4.668

6.  Highly accurate inverse consistent registration: a robust approach.

Authors:  Martin Reuter; H Diana Rosas; Bruce Fischl
Journal:  Neuroimage       Date:  2010-07-14       Impact factor: 6.556

7.  Prospective motion correction using inductively coupled wireless RF coils.

Authors:  Melvyn B Ooi; Murat Aksoy; Julian Maclaren; Ronald D Watkins; Roland Bammer
Journal:  Magn Reson Med       Date:  2013-06-27       Impact factor: 4.668

8.  Fast noniterative calibration of an external motion tracking device.

Authors:  Benjamin Zahneisen; Chris Lovell-Smith; Michael Herbst; Maxim Zaitsev; Oliver Speck; Brian Armstrong; Thomas Ernst
Journal:  Magn Reson Med       Date:  2013-06-20       Impact factor: 4.668

9.  Measurement and correction of microscopic head motion during magnetic resonance imaging of the brain.

Authors:  Julian Maclaren; Brian S R Armstrong; Robert T Barrows; K A Danishad; Thomas Ernst; Colin L Foster; Kazim Gumus; Michael Herbst; Ilja Y Kadashevich; Todd P Kusik; Qiaotian Li; Cris Lovell-Smith; Thomas Prieto; Peter Schulze; Oliver Speck; Daniel Stucht; Maxim Zaitsev
Journal:  PLoS One       Date:  2012-11-07       Impact factor: 3.240

10.  Novel calibration algorithm for a three-axis strapdown magnetometer.

Authors:  Yan Xia Liu; Xi Sheng Li; Xiao Juan Zhang; Yi Bo Feng
Journal:  Sensors (Basel)       Date:  2014-05-14       Impact factor: 3.576

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  3 in total

1.  A Wireless Radio Frequency Triggered Acquisition Device (WRAD) for Self-Synchronised Measurements of the Rate of Change of the MRI Gradient Vector Field for Motion Tracking.

Authors:  Adam van Niekerk; Ernesta Meintjes; Andre van der Kouwe
Journal:  IEEE Trans Med Imaging       Date:  2019-01-10       Impact factor: 10.048

2.  Toward "plug and play" prospective motion correction for MRI by combining observations of the time varying gradient and static vector fields.

Authors:  Adam van Niekerk; Andre van der Kouwe; Ernesta Meintjes
Journal:  Magn Reson Med       Date:  2019-05-07       Impact factor: 4.668

3.  Motion correction methods for MRS: experts' consensus recommendations.

Authors:  Ovidiu C Andronesi; Pallab K Bhattacharyya; Wolfgang Bogner; In-Young Choi; Aaron T Hess; Phil Lee; Ernesta M Meintjes; M Dylan Tisdall; Maxim Zaitzev; André van der Kouwe
Journal:  NMR Biomed       Date:  2020-07-20       Impact factor: 4.044

  3 in total

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