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Trapped Ion Quantum Computing

Optimal control theory for applications in magnetic resonance imaging

arXiv
Authors: E. Van-Reeth, H. Ratiney, M. Lapert, S. J. Glaser, D. Sugny

Year

2017

Paper ID

7596

Status

Preprint

Abstract Read

~2 min

Abstract Words

95

Citations

N/A

Abstract

We apply innovative mathematical tools coming from optimal control theory to improve theoretical and experimental techniques in Magnetic Resonance Imaging (MRI). This approach allows us to explore and to experimentally reach the physical limits of the corresponding spin dynamics in the presence of typical experimental imperfections and limitations. We study in this paper two important goals, namely the optimization of image contrast and the maximization of the signal to noise per unit time. We anticipate that the proposed techniques will find practical applications in medical imaging in a near future to help the medical diagnosis.

Why This Paper Matters

  • This paper contributes to the Trapped-Ion Quantum Computing research area in the Quantum Articles archive.
  • It adds a 2017 reference point for readers tracking recent quantum research.
  • We apply innovative mathematical tools coming from optimal control theory to improve theoretical and experimental techniques in Magnetic Resonance Imaging (MRI).

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References & Citation Signals

[1] DOI https://doi.org/arXiv:1709.02751 [2] arXiv https://arxiv.org/abs/1709.02751 [3] Publisher https://arxiv.org/abs/1709.02751

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