Towards a Parameter Free ESPIRiT: Soft Weighting for Robust Coil Sensitivity Estimation.
Siddharth Srinivasan Iyer,
Frank Ong and
In Proceedings of the International Society for Magnetic Resonance in Medicine, 2016.
ESPIRiT is a robust, auto-calibrating approach to parallel MR image reconstruction that estimates the subspace of sensitivity
maps using an eigenvalue-based method. While it is robust to a range of parameter choices, having parameters that result in a
tight subspace yields the best performance. We propose an automatic, parameter free method that appropriately weights the
subspace using a shrinkage operator derived from Stein's Unbiased Risk Estimate. We demonstrate the efficacy of our technique
by showing superior map estimation without user intervention in simulation and in-vivo data compared to the current default
method of subspace estimation.
Summa Cum Laude awarded.