A Convex Formulation for Magnetic Particle Imaging X-Space Reconstruction.
A Convex Formulation for Magnetic Particle Imaging X-Space Reconstruction.
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DOI：
10.1371/journal.pone.0140137
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发表时间：
2015
期刊：
影响因子：
3.7
通讯作者：
Conolly SM
中科院分区：
文献类型：
--
作者：
Konkle JJ;Goodwill PW;Hensley DW;Orendorff RD;Lustig M;Conolly SM
磁粒子成像(MPI)是一种新兴的成像方式，在快速血管成像、细胞治疗跟踪、肿瘤成像和炎症成像等方面具有特殊的临床应用前景。最近的出版物已经展示了用x空间重建方法跨越大鼠大小视野的定量MPI。图像重建的可靠性和准确性是任何医学成像技术的关键。由于MPI信号的平均值在直通信号滤波过程中丢失，因此MPI重建算法必须恢复该零频值。以前的x空间MPI恢复技术仅限于一维方法，这可能会在重建3D图像时引入伪影。本文将x空间重建问题转化为一个三维凸优化问题，并应用稳健的图像光滑性和非负性先验知识来减少非物理条带和模糊伪影。最后，我们讨论了所提出的公式在未来应用中的强大的可扩展性。
Magnetic Particle Imaging (mpi) is an emerging imaging modality with exceptional promise for clinical applications in rapid angiography, cell therapy tracking, cancer imaging, and inflammation imaging. Recent publications have demonstrated quantitative mpi across rat sized fields of view with x-space reconstruction methods. Critical to any medical imaging technology is the reliability and accuracy of image reconstruction. Because the average value of the mpi signal is lost during direct-feedthrough signal filtering, mpi reconstruction algorithms must recover this zero-frequency value. Prior x-space mpi recovery techniques were limited to 1d approaches which could introduce artifacts when reconstructing a 3d image. In this paper, we formulate x-space reconstruction as a 3d convex optimization problem and apply robust a priori knowledge of image smoothness and non-negativity to reduce non-physical banding and haze artifacts. We conclude with a discussion of the powerful extensibility of the presented formulation for future applications.