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PLoS One. 2015 Oct 23;10(10):e0140137. doi: 10.1371/journal.pone.0140137. eCollection 2015.

A Convex Formulation for Magnetic Particle Imaging X-Space Reconstruction.

Author information

1
Department of Bioengineering, University of California, Berkeley, CA, United States of America.
2
Department of Bioengineering, University of California, Berkeley, CA, United States of America; Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, United States of America.

Abstract

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.

PMID:
26495839
PMCID:
PMC4619737
DOI:
10.1371/journal.pone.0140137
[Indexed for MEDLINE]
Free PMC Article

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