A Trajectory Study for Obtaining MPI System Matrices in a Compressed-Sensing Framework
A Trajectory Study for Obtaining MPI System Matrices in a Compressed-Sensing Framework
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DOI：
10.18416/ijmpi.2017.1706005
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发表时间：
2017-06
期刊：
影响因子：
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通讯作者：
M. Maass;M. Ahlborg;A. Bakenecker;Fabrice Katzberg;Huy Phan;T. Buzug;A. Mertins
中科院分区：
文献类型：
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作者：
M. Maass;M. Ahlborg;A. Bakenecker;Fabrice Katzberg;Huy Phan;T. Buzug;A. Mertins
在本文中，我们研究了五种不同的场自由点轨迹的效率在二维磁粒子成像的压缩传感为基础的重建部分测量系统矩阵。为了显示轨迹的适用性，在相同的扫描仪设置上模拟具有相同重复时间的不同轨迹。我们表明，对于所有的轨迹，基于压缩感知的系统矩阵的重建方法是可能的，并有前途的现实世界的情况。此外，我们验证了已知的事实，Lissajous轨迹是适当的压缩感知方法。然而，仍然存在其他轨迹选择，其在基于压缩感测的重建中显示出类似的甚至更好的性能。
In this paper, we study the efficiency of five different field free point trajectories in two-dimensional magnetic particle imaging for the compressed-sensing based reconstruction of partially measured system matrices. To show the suitability of the trajectories, different trajectories with identical repetition times were simulated using on the same scanner setup. We show that for all trajectories, the compressed-sensing based reconstruction approach for the system matrix is possible and promising for real-world scenarios. Also we validate the already known fact that the Lissajous trajectory is appropriate for the compressed sensing approach. However, there are still other trajectory choices which show similar and even better performance in the compressed-sensing based reconstruction.