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Linear and Shift Invariance of Magnetic Particle Imaging

  • Kuan LuEmail author
  • Patrick Goodwill
  • Steve Conolly
Part of the Springer Proceedings in Physics book series (SPPHY, volume 140)

Abstract

MPI is intrinsically a linear and shift-invariant (LSI) system as described in x-space theory [3,4] assuming perfect signal acquisition and that the imaging equation can be written as a convolution in realspace. However, the received MPI signal is corrupted by a direct feedthrough signal from the excitation source at the drive frequency, which is 106 times larger than the nanoparticle signal. Hardware filtering is required to suppress the feedthroughsignalbutalso inevitably removes this frequency component from the particle signal. This signal loss in the received particle signalbreaks the LSI propertiesof x-space MPI. This study will investigate the impact of losing the fundamental frequency component in the image domain and propose an algorithm to recover the lost information. Finally, experimental results demonstrate that LSI propertiescan be restored after applying a simple and robust baseline recovery algorithm.

Keywords

Drive Frequency Shift Invariance Particle Signal Constant Loss Magnetic Particle Image 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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    Gleich, B., Weizenecker, J.: Tomographic imaging using the nonlinear response of magnetic particles. Nature 435, 1214–1217 (2005)CrossRefGoogle Scholar
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    Goodwill, P., Conolly, S.: IEEE Trans. Med. Imaging (2011)Google Scholar
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    Lu, K., Goodwill, P., Conolly, S.: SPIE Conference Proceeding (2011)Google Scholar

Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.BioengineeringUC BerkeleyBerkeleyUnited States
  2. 2.Department of Bioengineering and EECS Berkeley Imaging System LaboratoryUC BerkeleyBerkeleyUnited States

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