Section for Biomedical Imaging, University Medical Center Hamburg-Eppendorf, Hamburg, Germany. Institute for Biomedical Imaging, Hamburg University of Technology, Hamburg, Germany. Author to whom correspondence may be addressed.
Phys Med Biol. 2019 Jun 20;64(12):125013. doi: 10.1088/1361-6560/ab2480.
Magnetic particle imaging (MPI) is a tracer-based imaging technique that can be used for imaging vessels and organ perfusion with high temporal resolution. Background signals are a major source for image artifacts and in turn restrict the sensitivity of the method in practice. While static background signals can be removed from the measured signal by taking a dedicated background scan and performing subtraction, this simple procedure is not applicable in case of non-stationary background signals that occur in practice due to e.g. temperature drifts in the electromagnetic coils of the MPI scanner. Within this work we will investigate a dynamic background subtraction method that is based on two background measurements taken before and after the object measurement. Using first-order interpolation it is possible to remove linear background changes and in turn significantly suppress artifacts. The method is evaluated using static and dynamic phantom measurements and it is shown that dynamic background subtraction is capable of reducing the artifact level approximately by a factor of four.
磁共振粒子成像（MPI）是一种基于示踪剂的成像技术，可用于对血管和器官灌注进行高时间分辨率成像。背景信号是图像伪影的主要来源，这反过来又限制了该方法在实际中的灵敏度。虽然可以通过进行专门的背景扫描并执行减法来从测量信号中去除静态背景信号，但对于由于例如 MPI 扫描仪的电磁线圈中的温度漂移而在实际中发生的非静态背景信号，此简单过程并不适用。在这项工作中，我们将研究一种基于在对象测量之前和之后进行两次背景测量的动态背景减法方法。使用一阶插值，可以去除线性背景变化，并相应地显著抑制伪影。该方法使用静态和动态体模测量进行了评估，结果表明，动态背景减法可以将伪影水平降低约四倍。
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