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首页> 外文期刊>Biomedical Engineering: Applications, Basis and Communications >A new metric design to automatic detection of patient motion in single photon emission computed tomography
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A new metric design to automatic detection of patient motion in single photon emission computed tomography

机译：在单光子发射计算机断层扫描中自动检测患者运动的新度量设计

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摘要

Amongst the motion detection and correction algorithms during the scanning procedures, data-processing methods are the most frequently proposed solution to detect and correct patient motions. There are different distance metrics which have been used to detect the patient motions using information contained in the projections. Unfortunately, the performance of usually used metrics is low in the case of small motions while detecting the motions with magnitude of 1 pixel and smaller are very important in the accuracy of diagnosis. In this work, a new distance metric, normalized prediction of projection data algorithm (NPPDA) is developed based on the linear prediction filter. The performance of the NPPDA is quantitatively evaluated and compared with usual distance metrics by different experimental studies. A high detection rate is achieved by means of the newly developed distance metric, NPPDA.
机译：在扫描过程中的运动检测和校正算法中，数据处理方法是检测和校正患者运动的最常提出的解决方案。已经使用了包含在投影中的信息来检测患者运动的不同距离度量。不幸的是，在小运动的情况下，通常使用的度量标准的性能较低，而检测大小为1像素或更小的运动对于诊断的准确性非常重要。在这项工作中，基于线性预测滤波器，开发了一种新的距离度量，投影数据归一化预测算法（NPPDA）。对NPPDA的性能进行了定量评估，并通过不同的实验研究将其与通常的距离指标进行了比较。通过新开发的距离度量NPPDA可以实现较高的检测率。

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