Philips – Patient Adaptive Compressed Sensing
21-02-2016 - The Problem The sampling density function in Compressed Sensing can best be optimized once the -space density is known for the object under investigation. This is characterized by an MRI scan (fast pre-acquired data set), from which the -space extent is estimated by a Fourier Transform. In addition, the data is acquired with multiple, spatially-localized,