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Automated eye blink detection and correction method for clinical MR eye imaging
Leiden University Medical Center, Leiden, The Netherlands.
Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics. Leiden University, Leiden University Medical Center, Leiden, The Netherlands.ORCID iD: 0000-0002-0532-232X
Leiden University Medical Center, Leiden, The Netherlands.
Leiden University Medical Center, Leiden, The Netherlands.
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2017 (English)In: Magnetic Resonance in Medicine, ISSN 0740-3194, E-ISSN 1522-2594, Vol. 78, no 1, 165-171 p.Article in journal (Refereed) Published
Abstract [en]

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. 

Place, publisher, year, edition, pages
John Wiley & Sons, 2017. Vol. 78, no 1, 165-171 p.
Keyword [en]
magnetic resonance eye imaging, NMR field probe, motion artifacts, data reacquisition, image reconstruction
National Category
Radiology, Nuclear Medicine and Medical Imaging
Identifiers
URN: urn:nbn:se:umu:diva-135679DOI: 10.1002/mrm.26355ISI: 000403803900016PubMedID: 27476861OAI: oai:DiVA.org:umu-135679DiVA: diva2:1105053
Available from: 2017-06-02 Created: 2017-06-02 Last updated: 2017-07-10Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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