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A quick and robust method for measurement of signal-to-noise ratio in MRI

机译:一种快速而强大的MRI信噪比测量方法

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摘要

A novel method is proposed for the measurement of signal-to-noise ratio (SNR) for the purpose of quality assurance (QA) in MRI. A boxcar filtering technique is applied which allows estimation of signal and noise from a single image. The method has been used to estimate SNR in a large set of images acquired in a consistent manner using various scanner models, coils and phantoms. Performance is evaluated by comparison with the double-image subtraction technique incorporating temporal instability correction. The limits of agreement between the techniques are comparable to typical variability in daily SNR, and significantly superior to the performance of other single-image methods published to date. Single-image methods are preferable as they halve the image acquisition time of the recommended double-image approach. Major inaccuracies are identified in methods of SNR measurement currently used for QA in MRI.
机译:提出了一种新的测量信噪比(SNR)的方法,以实现MRI的质量保证(QA)。应用了棚车滤波技术,该技术允许从单个图像估计信号和噪声。该方法已用于估计使用各种扫描仪模型,线圈和体模以一致的方式采集的大量图像中的SNR。通过与结合了时间不稳定性校正的双图像减法技术进行比较来评估性能。这些技术之间的一致性限制可与每日SNR中的典型可变性相媲美,并且显着优于迄今为止发布的其他单图像方法的性能。单图像方法是可取的,因为它们可以将推荐的双图像方法的图像获取时间减半。当前用于MRI QA的SNR测量方法中发现了主要的错误。

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