Literature DB >> 27476861

Automated eye blink detection and correction method for clinical MR eye imaging.

Joep Wezel1, Anders Garpebring1,2, Andrew G Webb1, Matthias J P van Osch1, Jan-Willem M Beenakker1,3.   

Abstract

PURPOSE: To implement an on-line monitoring system to detect eye blinks during ocular MRI using field probes, and to reacquire corrupted k-space lines by means of an automatic feedback system integrated with the MR scanner.
METHODS: Six healthy subjects were scanned on a 7 Tesla MRI whole-body system using a custom-built receive coil. Subjects were asked to blink multiple times during the MR-scan. The local magnetic field changes were detected with an external fluorine-based field probe which was positioned close to the eye. The eye blink produces a field shift greater than a threshold level, this was communicated in real-time to the MR system which immediately reacquired the motion-corrupted k-space lines.
RESULTS: The uncorrected images, using the original motion-corrupted data, showed severe artifacts, whereas the corrected images, using the reacquired data, provided an image quality similar to images acquired without blinks.
CONCLUSION: Field probes can successfully detect eye blinks during MRI scans. By automatically reacquiring the eye blink-corrupted data, high quality MR-images of the eye can be acquired. Magn Reson Med 78:165-171, 2017.
© 2016 International Society for Magnetic Resonance in Medicine. © 2016 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  NMR field probe; data reacquisition; image reconstruction; magnetic resonance eye imaging; motion artifacts

Mesh:

Year:  2016        PMID: 27476861     DOI: 10.1002/mrm.26355

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


  4 in total

1.  Cartesian MR fingerprinting in the eye at 7T using compressed sensing and matrix completion-based reconstructions.

Authors:  Kirsten Koolstra; Jan-Willem Maria Beenakker; Peter Koken; Andrew Webb; Peter Börnert
Journal:  Magn Reson Med       Date:  2018-11-13       Impact factor: 4.668

2.  Application of Deep Learning System into the Development of Communication Device for Quadriplegic Patient.

Authors:  Jung Hwan Lee; Taewoo Kang; Byung Kwan Choi; In Ho Han; Byung Chul Kim; Jung Hoon Ro
Journal:  Korean J Neurotrauma       Date:  2019-08-14

3.  The Economic Value of MR-Imaging for Uveal Melanoma.

Authors:  Lorna Grech Fonk; Teresa A Ferreira; Andrew G Webb; Gregorius P M Luyten; Jan-Willem M Beenakker
Journal:  Clin Ophthalmol       Date:  2020-04-28

4.  Silent volumetric multi-contrast 7 Tesla MRI of ocular tumors using Zero Echo Time imaging.

Authors:  Jan-Willem M Beenakker; Joep Wezel; Jan Groen; Andrew G Webb; Peter Börnert
Journal:  PLoS One       Date:  2019-09-16       Impact factor: 3.240

  4 in total

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