Zhong Jing, Schilling Meinhard, Ludwig Frank
Institute for Electrical Measurement Science and Fundamental Electrical Engineering, TU Braunschweig, 38106 Braunschweig, Germany.
Nanomaterials (Basel). 2018 Oct 23;8(11):866. doi: 10.3390/nano8110866.
This paper quantitatively investigates the spatial and temperature resolutions of magnetic nanoparticle (MNP) temperature imaging with a multiline phantom filled with MNPs. The multiline phantom in total consists of seven lines with different distances between two adjacent lines. A scanning magnetic particle spectrometer is used to measure the spatial distributions of the MNP harmonics for MNP concentration and temperature imaging, whereas an iterative deconvolution method is used to improve the spatial resolution. A modulation transfer function calculated from the MNP concentration image is used to quantitatively present the spatial resolution, whereas the standard deviation of the measured temperatures is used to quantitatively present the temperature resolution. The spatial resolution is about 4 mm while the temperature resolution is about 1.0 K without deconvolution. With increasing the number of the iterative loops in the deconvolution, the spatial resolution is improved to 2 mm while the temperature resolution is worsened to about 9.6 K due to deconvolution-based oscillation.
本文利用填充有磁性纳米颗粒（MNP）的多线体模，对MNP温度成像的空间分辨率和温度分辨率进行了定量研究。该多线体模总共由七条线组成，相邻两条线之间的距离各不相同。使用扫描磁性颗粒光谱仪测量用于MNP浓度和温度成像的MNP谐波的空间分布，而采用迭代反卷积方法来提高空间分辨率。从MNP浓度图像计算得到的调制传递函数用于定量表示空间分辨率，而测量温度的标准差用于定量表示温度分辨率。在不进行反卷积的情况下，空间分辨率约为4 mm，而温度分辨率约为1.0 K。随着反卷积中迭代循环次数的增加，空间分辨率提高到2 mm，但由于基于反卷积的振荡，温度分辨率恶化到约9.6 K。
