Martin Uecker1, Michael Lustig1
1Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, United States
The purpose of this work to develop memory-efficient implementations of iterative reconstruction algorithms, such as SENSE, nonlinear inversion, and ESPIRiT. Although iterative reconstruction provides faster imaging and improved image quality, high computational demand currently limits its application for large 3D data sets. Graphical processing units can reduce computation time, but do not have enough memory for conventional algorithms. The proposed technique exploits the typical structure of iterative reconstruction algorithms to divide the computation into small independent blocks to reduce memory consumption.