Claudia Prieto1, Benjamin R. Knowles1,
Muhammad Usman1, Philip G. Batchelor1, Freddy Odille2,
David Atkinson2, Tobias Schaeffter1
1Division of Imaging Sciences, King's
College London, London, United Kingdom; 2Centre for Medical Image
Computing, University College London, London, United Kingdom
An
autocalibrated approach for the combination of Compressed Sensing (CS) and
SENSE is proposed. This method is based on the sequential estimation of the
coil sensitivity maps using distributed CS followed by image reconstruction
using SparseSENSE (or its equivalents), from the same data set. The proposed
approach was tested in 2D black-blood atrial wall images with undersampling
factors up to 5, showing good image quality. This method does not require
extra reference scans and avoids the acquisition of the fully sampled k-space
center, which could limit the maximum achievable undersampling factor.