Maarten Naeyaert1, Vladimir Golkov2, Daniel Cremers2, Jan Sijbers3, and Marleen Verhoye4
1Radiology, Universitair Ziekenhuis Brussel, Brussels, Belgium, 2Department of Computer Science, Technical University of Munich, Garching, Germany, 3Imec-Vision Lab, University of Antwerp, Wilrijk, Belgium, 4Bio-Imaging Lab, University of Antwerp, Wilrijk, Belgium
1Radiology, Universitair Ziekenhuis Brussel, Brussels, Belgium, 2Department of Computer Science, Technical University of Munich, Garching, Germany, 3Imec-Vision Lab, University of Antwerp, Wilrijk, Belgium, 4Bio-Imaging Lab, University of Antwerp, Wilrijk, Belgium
Simultaneous
subsampling of k- and q-space of FSE-HARDI data can improve the reconstruction
quality over only q-space subsampling for a given subsampling
factor. Alternating the phase-encoding direction for each volume improves the
results.
Figure 1:
RMSD values for all subsampling factors and subsampling
strategies. Blue: full k-space, orange: 1D alternated subsampling, grey: 1D random
subsampling. Higher subsampling
factors lead to a larger error, but for all factors 1D
alternated subsampling performs best, indicating the enhanced performance
of subsampling in q-space and 2
k-space dimensions.
Figure 2:
Normalized reconstruction error of a single slice for b0 (top, left) and all 60
diffusion direction, for the best case results, using 1/3 of the original data
by using 40 q-space coordinates and 1d alternated subsampling.
Most errors are
near the ears, whereas in the
brain errors are very small.
