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首页> 外文期刊>Magnetic resonance in medicine: official journal of the Society of Magnetic Resonance in Medicine >Automated eye blink detection and correction method for clinical MR eye imaging
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Automated eye blink detection and correction method for clinical MR eye imaging

机译:临床MR眼镜成像自动眨眼检测和校正方法

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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
机译:目的在于使用现场探测器在眼睛MRI期间检测在线监测系统以检测眼睛闪烁,并通过与MR扫描仪集成的自动反馈系统重新损坏损坏的K空间线。方法使用定制的接收线圈在7个Tesla MRI全身系统上扫描六种健康受试者。要求受试者在MR-SCAN期间多次闪烁。用基于外部氟基的场探针检测局部磁场变化,该探针靠近眼睛。眼睛闪烁产生大于阈值水平的场偏移,这将实时地通信给立即重新损失运动损坏的k空间线。结果使用原始运动损坏的数据显示出严重的伪像,而校正的图像使用重新计数数据,提供了不校正的图像,提供了类似于没有闪烁获取的图像的图像质量。结论现场探头可以在MRI扫描期间成功检测眼睛闪烁。通过自动重新进入眼睛眨眼损坏的数据,可以获得眼睛的高质量MR图像。 Magn Reson Med 78:165-171,2017 2016国际医学磁共振学会

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