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Automated eye blink detection and correction method for clinical MR eye imaging.
Wezel, Joep; Garpebring, Anders; Webb, Andrew G; van Osch, Matthias J P; Beenakker, Jan-Willem M.
Afiliación
  • Wezel J; C.J. Gorter Center for High Field MRI, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands.
  • Garpebring A; C.J. Gorter Center for High Field MRI, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands.
  • Webb AG; Radiation Sciences, Umeå University, Umeå, Sweden.
  • van Osch MJP; C.J. Gorter Center for High Field MRI, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands.
  • Beenakker JM; C.J. Gorter Center for High Field MRI, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands.
Magn Reson Med ; 78(1): 165-171, 2017 07.
Article en En | MEDLINE | ID: mdl-27476861
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 78165-171, 2017. © 2016 International Society for Magnetic Resonance in Medicine.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Radiometría / Parpadeo / Imagen por Resonancia Magnética / Aumento de la Imagen / Ojo Tipo de estudio: Diagnostic_studies Límite: Humans Idioma: En Revista: Magn Reson Med Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2017 Tipo del documento: Article País de afiliación: Países Bajos

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Radiometría / Parpadeo / Imagen por Resonancia Magnética / Aumento de la Imagen / Ojo Tipo de estudio: Diagnostic_studies Límite: Humans Idioma: En Revista: Magn Reson Med Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2017 Tipo del documento: Article País de afiliación: Países Bajos