Title :
Geometric Optimal Control of the Contrast Imaging Problem in Nuclear Magnetic Resonance
Author :
Bonnard, Bernard ; Cots, Olivier ; Glaser, Steffen J. ; Lapert, Marc ; Sugny, Dominique ; Zhang, Yun
Author_Institution :
Inst. de Math. de Bourgogne, Dijon, France
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.
Keywords :
biomedical MRI; discrete systems; geometry; maximum principle; medical control systems; medical image processing; Hamiltonian dynamics; Mayer type optimal problem; Pontryagin maximum principle; cerebrospinal fluid; cerebrospinal water; cerebrum grey matter; cerebrum white matter; contrast imaging problem; geometric optimal control; nuclear magnetic resonance; optimal trajectories; optimality status; quantum control; singular extremals; Equations; Mathematical model; Nuclear magnetic resonance; Optimal control; Switches; Trajectory; Vectors; Geometric optimal control; nuclear magnetic resonance (NMR); quantum control;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.2012.2195859