Abstract #0746
MR Image Reconstruction Exploiting Nonlinear Transforms
Johannes F. M. Schmidt 1 and Sebastian Kozerke 1,2
1
Institute for Biomedical Engineering,
University and ETH Zurich, Zurich, Switzerland,
2
Imaging
Sciences and Biomedical Engineering, King's College
London, London, United Kingdom
MR image reconstruction exploiting nonlinear transforms
has successfully been implemented using projections onto
principal components in a high-dimensional kernel
feature space, employing kernel PCA. Image quality was
found to improve considerably relative to standard CS
reconstruction with wavelet and finite-differences
transforms.
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