Geometric Optimal Control of the Contrast Imaging Problem in Nuclear Magnetic Resonance

Bernard Bonnard, Olivier Cots, Steffen J. Glaser, M. Lapert, D. Sugny, Yun Zhang

IEEE Transactions on Automatic Control · 2012 · 55 citations · 24 references

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TL;DR

Optimizing transfer time between states is a key challenge in NMR contrast imaging. The objective of this article is to introduce tools for analyzing the contrast imaging problem in Nuclear Magnetic Resonance. The authors use the Pontryagin Maximum Principle to identify optimal trajectories, reducing the problem to analyzing Hamiltonian dynamics of singular extremals and their optimality. The approach is demonstrated on cerebrospinal fluid versus water and grey versus white matter in the cerebrum.

Abstract

The objective of this article is to introduce the tools to analyze the contrast imaging problem in Nuclear Magnetic Resonance. Optimal trajectories can be selected among extremal solutions of the Pontryagin Maximum Principle applied to this Mayer type optimal problem. Such trajectories are associated to the question of extremizing the transfer time. Hence the optimal problem is reduced to the analysis of the Hamiltonian dynamics related to singular extremals and their optimality status. This is illustrated by using the examples of cerebrospinal fluid / water and grey / white matter of cerebrum.

References

24