Development of a system for magnetic particle imaging using neodymium magnets and gradiometer
Development of a system for magnetic particle imaging using neodymium magnets and gradiometer
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DOI：
10.7567/jjap.53.067001
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发表时间：
2014-06-01
影响因子：
1.5
通讯作者：
Takeuchi, Yuki
中科院分区：
文献类型：
--
作者：
Murase, Kenya;Hiratsuka, Samu;Takeuchi, Yuki
我们开发了一种磁粒子成像 (MPI) 系统，使用两个相对的钕磁体来生成无磁场线 (FFL)，并使用梯度计线圈来接收磁性纳米粒子 (MNP) 生成的信号。通过同时旋转和平移模型和梯度计线圈来获取投影数据，并使用滤波反投影（FBP）方法和最大似然期望最大化（ML-EM）算法重建横向图像。就信号强度和 MNP 浓度之间的线性以及对抗馈通干扰的鲁棒性而言，梯度计线圈优于简单的螺线管线圈。与使用FBP方法相比，使用ML-EM算法提高了图像质量；特别是，条纹伪影的数量减少了。我们的初步结果表明，我们的系统对于使用 FFL 编码方案实现 MPI 非常有用，并且 ML-EM 算法对于提高 MPI 的图像质量非常有用。 (C) 2014 日本应用物理学会
We developed a system for magnetic particle imaging (MPI) using two opposing neodymium magnets for generating a magnetic-field-free line (FFL) and a gradiometer coil for receiving signals generated by magnetic nanoparticles (MNPs). The projection data were acquired by rotating and translating both a phantom and a gradiometer coil simultaneously, and transverse images were reconstructed using the filtered backprojection (FBP) method and maximum likelihood-expectation maximization (ML-EM) algorithm. The gradiometer coil was superior to a simple solenoid coil in terms of the linearity between the signal intensity and concentration of MNPs and of the robustness against feedthrough interference. The image quality was improved using the ML-EM algorithm compared with using the FBP method; in particular, the number of streak artifacts was reduced. Our preliminary results suggest that our system is useful for realizing MPI with an FFL-encoding scheme and that the ML-EM algorithm is useful for improving the image quality of MPI. (C) 2014 The Japan Society of Applied Physics