The Optimality Principle for MR signal excitation and reception: New physical insights into ideal radiofrequency coil design

TL;DR

The paper introduces the Optimality Principle, a new physical insight that predicts optimal current patterns for MR coil design, enabling rapid, intuitive, and more effective coil optimization and understanding of fundamental performance factors.

Contribution

It presents the Optimality Principle, a novel theoretical framework that predicts optimal coil current patterns and offers physical insights into coil performance and design.

Findings

Validated numerically the unperturbed principle.

Explored convergence of the perturbative formulation.

Demonstrated applications in coil optimization and understanding electric dipoles.

Abstract

Purpose: Despite decades of collective experience, radiofrequency coil optimization for MR has remained a largely empirical process, with clear insight into what might constitute truly task-optimal, as opposed to merely 'good,' coil performance being difficult to come by. Here, a new principle, the Optimality Principle, is introduced, which allows one to predict, rapidly and intuitively, the form of optimal current patterns on any surface surrounding any arbitrary body. Theory: The Optimality Principle, in its simplest form, states that the surface current pattern associated with optimal transmit field or receive sensitivity at a point of interest (per unit current integrated over the surface) is a precise scaled replica of the tangential electric field pattern that would be generated on the surface by a precessing spin placed at that point. A more general perturbative formulation enables efficient calculation of the pattern modifications required to optimize signal-to-noise ratio in body-noise-dominated situations. Methods and Results: The unperturbed principle is validated numerically, and convergence of the perturbative formulation is explored in simple geometries. Current patterns and corresponding field patterns in a variety of concrete cases are then used to separate signal and noise effects in coil optimization, to understand the emergence of electric dipoles as strong performers at high frequency, and to highlight the importance of surface geometry in coil design. Conclusion: Like the Principle of Reciprocity from which it is derived, the Optimality Principle offers both a conceptual and a computational shortcut. In addition to providing quantitative targets for coil design, the Optimality Principle affords direct physical insight into the fundamental determinants of coil performance.