Novel non-stationary noise estimation technique for MRI published
A novel technique to estimate non-stationary patterns of noise in parallel MRI data has been published in the journal IEEE Transactions on Pattern Analysis and Machine Intelligence: Non-Stationary Rician Noise Estimation in Parallel MRI using a Single Image: a Variance-Stabilizing Approach. The article is a collaboration of the University of Valladolid with AGH University of Science and Technology (Krakow, Poland), with the Applied Chest Imaging Laboratory (ACIL), Brigham and Women’s Hospital, Harvard Medical School (Boston, USA) and with the Biomedical Image Technologies Laboratory, Universidad Politécnica de Madrid (Spain).