IEEE Trans Med Imaging. 2018 Aug;37(8):1920-1931. doi: 10.1109/TMI.2018.2818261. Epub 2018 Mar 22.
Magnetic particle imaging (MPI) is a novel imaging modality with important potential applications, such as angiography, stem cell tracking, and cancer imaging. Recently, there have been efforts to increase the functionality of MPI via multi-color imaging methods that can distinguish the responses of different nanoparticles, or nanoparticles in different environmental conditions. The proposed techniques typically rely on extensive calibrations that capture the differences in the harmonic responses of the nanoparticles. In this paper, we propose a method to directly estimate the relaxation time constant of the nanoparticles from the MPI signal, which is then used to generate a multi-color relaxation map. The technique is based on the underlying mirror symmetry of the adiabatic MPI signal when the same region is scanned back and forth. We validate the proposed method via simulations, and via experiments on our in-house magnetic particle spectrometer setup at 10.8 kHz and our in-house MPI scanner at 9.7 kHz. Our results show that nanoparticles can be successfully distinguished with the proposed technique, without any calibration or prior knowledge about the nanoparticles.
磁粒子成像(MPI)是一种具有重要潜在应用的新型成像方式,例如血管造影、干细胞追踪和癌症成像。最近,人们努力通过多色成像方法来提高 MPI 的功能,这种方法可以区分不同纳米粒子或不同环境条件下纳米粒子的响应。所提出的技术通常依赖于广泛的校准,以捕获纳米粒子的谐响应差异。在本文中,我们提出了一种从 MPI 信号中直接估计纳米粒子弛豫时间常数的方法,然后利用该方法生成多色弛豫图。该技术基于相同区域来回扫描时绝热 MPI 信号的镜像对称性。我们通过模拟和在我们的 10.8 kHz 内部磁粒子光谱仪设置和我们的 9.7 kHz 内部 MPI 扫描仪上的实验验证了所提出的方法。我们的结果表明,无需校准或对纳米粒子的先验知识,就可以成功地使用所提出的技术区分纳米粒子。