1Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, United States; 2Department of Radiology, Stanford University, Stanford, CA, United States
Recently, a new technique to estimate sensitivity maps from the calibration data has been proposed (ESPIRiT). In the ideal case, this technique yields a single set of sensitivity maps, which can be used with SENSE. With data corruption, multiple sets of maps naturally appear when using this method. They correspond to additional signal components which are implicitly taken into account in SPIRiT (and GRAPPA), but do not fit the SENSE model using a single set of maps. Here, we propose soft SENSE, which uses multiple weighted sets of maps and has similar properties as SPIRiT.