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15th International Conference on Pattern Recognition (ICPR'00) - Volume 3
Regularized Reconstruction of 3D High-Resolution Magnetic Resonance Images from Acquisitions of Anisotropically Degraded Resolutions
Barcelona, Spain
September 03-September 08
ISBN: 0-7695-0750-6
ASCII Text
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Elodie Roullot, Alain Herment, Isabelle Bloch, Mila Nikolova, Elie Mousseaux, "Regularized Reconstruction of 3D High-Resolution Magnetic Resonance Images from Acquisitions of Anisotropically Degraded Resolutions," Pattern Recognition, International Conference on, vol. 3, pp. 3350, 15th International Conference on Pattern Recognition (ICPR'00) - Volume 3, 2000.
 
 
BibTex
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@article{ 10.1109/ICPR.2000.903556,
author = {Elodie Roullot and Alain Herment and Isabelle Bloch and Mila Nikolova and Elie Mousseaux},
title = {Regularized Reconstruction of 3D High-Resolution Magnetic Resonance Images from Acquisitions of Anisotropically Degraded Resolutions},
journal ={Pattern Recognition, International Conference on},
volume = {3},
year = {2000},
isbn = {0-7695-0750-6},
pages = {3350},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2000.903556},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Pattern Recognition, International Conference on
TI - Regularized Reconstruction of 3D High-Resolution Magnetic Resonance Images from Acquisitions of Anisotropically Degraded Resolutions
SN - 0-7695-0750-6
SP
EP
A1 - Elodie Roullot,
A1 - Alain Herment,
A1 - Isabelle Bloch,
A1 - Mila Nikolova,
A1 - Elie Mousseaux,
PY - 2000
VL - 3
JA - Pattern Recognition, International Conference on
ER -
 
Elodie Roullot, ENST and Universit? Paris VI
Alain Herment, Universit? Paris VI
Elie Mousseaux, Universit? Paris XI
We present an original method to reconstruct three-dimensional magnetic resonance images of high resolution in the three directions of space from two anisotropic volumes. The resolution of each volume is degraded in a different direction. The reconstruction method is based on an optimization technique, the constraints being fidelity to the acquired data on the one hand, and smoothness and edge preservation on the other hand. The interest of such a method is to significantly decrease the acquisition time of MR images, without degrading the spatial resolution.
Citation:
Elodie Roullot, Alain Herment, Isabelle Bloch, Mila Nikolova, Elie Mousseaux, "Regularized Reconstruction of 3D High-Resolution Magnetic Resonance Images from Acquisitions of Anisotropically Degraded Resolutions," icpr, vol. 3, pp.3350, 15th International Conference on Pattern Recognition (ICPR'00) - Volume 3, 2000
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