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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