Super-resolution for multislice diffusion tensor imaging
Dirk H. J. Poot
Departments of Medical informatics and Radiology, BIGR, Erasmus Medical Center, Rotterdam, the Netherlands
Search for more papers by this authorBen Jeurissen
IBBT-Vision Lab, Department of Physics, Vision Lab, University of Antwerp, Antwerp, Belgium
Search for more papers by this authorYannick Bastiaensen
IBBT-Vision Lab, Department of Physics, Vision Lab, University of Antwerp, Antwerp, Belgium
Search for more papers by this authorJelle Veraart
IBBT-Vision Lab, Department of Physics, Vision Lab, University of Antwerp, Antwerp, Belgium
Search for more papers by this authorWim Van Hecke
IBBT-Vision Lab, Department of Physics, Vision Lab, University of Antwerp, Antwerp, Belgium
Department of Radiology, University Hospital Antwerp, University of Antwerp, Edegem (Antwerp), Belgium
Search for more papers by this authorPaul M. Parizel
Department of Radiology, University Hospital Antwerp, University of Antwerp, Edegem (Antwerp), Belgium
Search for more papers by this authorCorresponding Author
Jan Sijbers
IBBT-Vision Lab, Department of Physics, Vision Lab, University of Antwerp, Antwerp, Belgium
Department of Physics, Vision Lab, University of Antwerp, Universiteitsplein 1, N 1.13, B-2610 Antwerp, Belgium===Search for more papers by this authorDirk H. J. Poot
Departments of Medical informatics and Radiology, BIGR, Erasmus Medical Center, Rotterdam, the Netherlands
Search for more papers by this authorBen Jeurissen
IBBT-Vision Lab, Department of Physics, Vision Lab, University of Antwerp, Antwerp, Belgium
Search for more papers by this authorYannick Bastiaensen
IBBT-Vision Lab, Department of Physics, Vision Lab, University of Antwerp, Antwerp, Belgium
Search for more papers by this authorJelle Veraart
IBBT-Vision Lab, Department of Physics, Vision Lab, University of Antwerp, Antwerp, Belgium
Search for more papers by this authorWim Van Hecke
IBBT-Vision Lab, Department of Physics, Vision Lab, University of Antwerp, Antwerp, Belgium
Department of Radiology, University Hospital Antwerp, University of Antwerp, Edegem (Antwerp), Belgium
Search for more papers by this authorPaul M. Parizel
Department of Radiology, University Hospital Antwerp, University of Antwerp, Edegem (Antwerp), Belgium
Search for more papers by this authorCorresponding Author
Jan Sijbers
IBBT-Vision Lab, Department of Physics, Vision Lab, University of Antwerp, Antwerp, Belgium
Department of Physics, Vision Lab, University of Antwerp, Universiteitsplein 1, N 1.13, B-2610 Antwerp, Belgium===Search for more papers by this authorAbstract
Diffusion weighted magnetic resonance images are often acquired with single shot multislice imaging sequences, because of their short scanning times and robustness to motion. To minimize noise and acquisition time, images are generally acquired with either anisotropic or isotropic low resolution voxels, which impedes subsequent posterior image processing and visualization. In this article, we propose a super-resolution method for diffusion weighted imaging that combines anisotropic multislice images to enhance the spatial resolution of diffusion tensor data. Each diffusion weighted image is reconstructed from a set of arbitrarily oriented images with a low through-plane resolution. The quality of the reconstructed diffusion weighted images was evaluated by diffusion tensor metrics and tractography. Experiments with simulated data, a hardware DTI phantom, as well as in vivo human brain data were conducted. Our results show a significant increase in spatial resolution of the diffusion tensor data while preserving high signal to noise ratio. Magn Reson Med, 2013. © 2012 Wiley Periodicals, Inc.
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