磁粉成像
动态范围
正规化(语言学)
计算机科学
反褶积
算法
反问题
动态成像
图像分辨率
航程(航空)
数学优化
生物系统
计算机视觉
磁性纳米粒子
材料科学
数学
人工智能
图像处理
纳米颗粒
纳米技术
图像(数学)
复合材料
数学分析
数字图像处理
生物
作者
Marija Boberg,Nadine Gdaniec,Patryk Szwargulski,Franziska Julie Werner,Martin Möddel,Tobias Knopp
标识
DOI:10.1088/1361-6560/abf202
摘要
Magnetic Particle Imaging (MPI) is a tomographic imaging technique for determining the spatial distribution of superparamagnetic nanoparticles. Current MPI systems are capable of imaging iron masses over a wide dynamic range of more than four orders of magnitude. In theory, this range could be further increased using adaptive amplifiers, which prevent signal clipping. While this applies to a single sample, the dynamic range is severely limited if several samples with different concentrations or strongly inhomogeneous particle distributions are considered. One scenario that occurs quite frequently in pre-clinical applications is that a highly concentrated tracer bolus in the vascular system "shadows" nearby organs with lower effective tracer concentrations. The root cause of the problem is the ill-posedness of the MPI imaging operator, which requires regularization for stable reconstruction. In this work, we introduce a simple two-step algorithm that increases the dynamic range by a factor of four. Furthermore, the algorithm enables spatially adaptive regularization, i.e. highly concentrated signals can be reconstructed with maximum spatial resolution, while low concentrated signals are strongly regularized to prevent noise amplification.
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