Deep Learning Experimental Design for Quantitative Parameter Mapping

Abstract

Approach We utilise TADRED (TAsk-DRiven Experiment Design) to simultaneously train two networks one to optimise the acquisition protocol and one to optimise a neural network for parameter estimation. We demonstrate on three diffusion MRI applications–NODDI, VERDICT, and ADC mapping–and T1 inversion recovery. Code is available at https //github. com/sbb-gh/ED_MRI.