Abstract #1399

Parametric Coil Optimization via Global Optimization

Jose EC Serralles¹, Elfar Adalsteinsson^2,3, Lawrence L Wald⁴, and Luca Daniel¹

¹Computational Prototyping Group (CPG), Research Laboratory of Electronics (RLE), Department of Electrical Engineering and Computer Science (EECS), Massachusetts Institute of Technology (MIT), Cambridge, MA, United States, ²Department of Electrical Engineering and Computer Science (EECS), Massachusetts Institute of Technology (MIT), Cambridge, MA, United States, ³Institute for Medical Engineering and Science (IMES), Massachusetts Institute of Technology (MIT), Cambridge, MA, United States, ⁴Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States

Algorithmic design of coil arrays in MRI is typically considered desirable but computationally intractable. In this work, we demonstrate that it is in fact feasible to programmatically optimize over the design of a coil array to achieve a metric-of-interest, such as slice homogeneity in the transmit field. We build on previous work by employing global optimizers in several of the key steps in the optimization procedure. We demonstrate the effectiveness of this approach via a couple of numerical examples.

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