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Sensitivity improvement of a molecular imaging techniquebased on magnetic nanoparticles

机译:磁性纳米粒子对分子成像技术的敏感性改进

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Magnetic particle imaging (MPI) using the nonlinear interaction between internally administered magnetic nanoparticles (MNPs) and electromagnetic waves irradiated from outside of the body has attracted attention for the early diagnosis of diseases such as cancer. In MPI, the local magnetic field distribution is scanned, and the magnetization signal from MNPs inside an object region is detected. However, the signal sensitivity and image resolution are degraded by interference from the magnetization signal generated by MNPs that exist outside of the desired region, owing to nonlinear responses. Earlier, we proposed an image reconstruction method for suppressing the interference component while emphasizing the signal component using the property of the higher harmonic components generated by the MNPs. However, edge areas in the reconstructed image were emphasized excessively owing to the high-pass-filter effect of this method. Here, we propose a new method based on correlation information between the observed signal and a system function. We performed a numerical analysis and found that, although the image was somewhat blurred, the detection sensitivity can clearly be improved without the inverse-matrix operation used in conventional image reconstruction.
机译:磁性颗粒成像(MPI)使用内部施用的磁性纳米粒子(MNP)之间的非线性相互作用和身体外部照射的电磁波引起了对癌症如癌症的早期诊断的关注。在MPI中,扫描局部磁场分布,检测来自物体区域内的MNP的磁化信号。然而,由于非线性响应,通过从所需区域之外存在的MNP产生的MNP产生的磁化信号的干扰来降低信号灵敏度和图像分辨率。之前,我们提出了一种用于抑制干扰分量的图像重建方法,同时使用MNP产生的高谐波分量的性质来强调信号分量。然而,由于该方法的高通滤波效果,在过度强调重建图像中的边缘区域。这里,我们提出了一种基于观察信号和系统功能之间的相关信息的新方法。我们进行了数值分析,发现,尽管图像有些模糊,但是在没有传统图像重建中使用的反向矩阵操作的情况下可以清楚地提高检测灵敏度。

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