Layout Optimization of a 24-Channel Receive Array for 7.0 Tesla Brain Imaging

Shumin Wang¹, Jeff Duyn¹

With the advances of high-field MRI and parallel imaging techniques there is growing interest in the design of RF receive coil arrays for high-field SENSE imaging. Since the array performances depend on the geometric features, an optimized design in terms of geometry is of great importance in practice. In this work, we developed an optimization strategy by using the Genetic Algorithm and the Surface Integral Equation (SIE) method. It is applied to 24-channel array for brain imaging at 7.0 Tesla.