Refer to “fastMRI: An Open Dataset and Benchmarks for Accelerated MRI” and “fastMRI: A Publicly Available Raw k-Space and DICOM Dataset of Knee Images for Accelerated MR Image Reconstruction Using Machine Learning”, I am confused about the reconstruction method of the Ground Truth. Are any sensitivity map estimations taken into the consideration before applying root-sum-of-squares (RSS)? Papers seem to say no. However, “End-to-End Variational Networks for Accelerated MRI Reconstruction” and earlier “Learning a variational network for reconstruction of accelerated MRI data”, etc. all estimate the sensitivities during the accelerated reconstruction. Won’t this affect the evaluation?