Modified block uniform resampling (BURS) algorithm using truncated singular value decomposition: fast accurate gridding with noise and artifact reduction.

@article{Moriguchi2001ModifiedBU,
  title={Modified block uniform resampling (BURS) algorithm using truncated singular value decomposition: fast accurate gridding with noise and artifact reduction.},
  author={Hisamoto Moriguchi and Jeffrey L. Duerk},
  journal={Magnetic resonance in medicine},
  year={2001},
  volume={46 6},
  pages={
          1189-201
        }
}
The block uniform resampling (BURS) algorithm is a newly proposed regridding technique for nonuniformly-sampled k-space MRI. Even though it is a relatively computationally intensive algorithm, since it uses singular value decomposition (SVD), its procedure is simple because it requires neither a pre- nor a postcompensation step. Furthermore, the reconstructed image is generally of high quality since it provides accurate gridded values when the local k-space data SNR is high. However, the BURS… CONTINUE READING
BETA

Topics from this paper.

Citations

Publications citing this paper.
SHOWING 1-10 OF 21 CITATIONS

An investigation on gridding technique for radio astronomical image reconstruction

  • 2015 International Conference on Computer and Computational Sciences (ICCCS)
  • 2015
VIEW 1 EXCERPT
CITES METHODS

SVD Compression for Magnetic Resonance Fingerprinting in the Time Domain

  • IEEE Transactions on Medical Imaging
  • 2014
VIEW 1 EXCERPT
CITES METHODS

A Compressed Sensing framework for high resolution dynamic MRI

Jong Chul Advisor
  • 2010
VIEW 2 EXCERPTS
CITES BACKGROUND

A fast & accurate non-iterative algorithm for regularized non-Cartesian MRI

  • 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro
  • 2010

Similar Papers