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A Constrained Minimization Approach to Designing Multi-dimensional, Spatially Selective RF Pulses

C-Y. Yip, J. A. Fessler, D. C. Noll Functional MRI Laboratory, University of Michigan, Ann Arbor, MI, United States, Electrical Engineering and Computer Science Department, University of Michigan, Ann Arbor, MI, United States Introduction The design of multi-dimensional, spatially selective RF pulses can be viewed as analogous to image reconstruction in many ways [1]. It shares many of the technical challenges in reconstruction such as the problems of main field inhomogeneity and density compensation function definition, but it also differs in important ways. For example, there are hardware and SAR constraints on RF pulses, and excitation patterns outside object (or region of interest) can be undefined. This article presents a new approach to RF pulse design using constrained minimization. This new approach can be used to address many RF pulse design issues.