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A multiresolution approach to iterative reconstruction algorithms in X-ray computed tomography

Yoni De Witte (UGent) , Jelle Vlassenbroeck (UGent) and Luc Van Hoorebeke (UGent)
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Abstract
In computed tomography, the application of iterative reconstruction methods in practical situations is impeded by their high computational demands. Especially in high resolution X-ray computed tomography, where reconstruction volumes contain a high number of volume elements (several giga voxels), this computational burden prevents their actual breakthrough. Besides the large amount of calculations, iterative algorithms require the entire volume to be kept in memory during reconstruction, which quickly becomes cumbersome for large data sets. To overcome this obstacle, we present a novel multiresolution reconstruction, which greatly reduces the required amount of memory without significantly affecting the reconstructed image quality. It is shown that, combined with an efficient implementation on a graphical processing unit, the multiresolution approach enables the application of iterative algorithms in the reconstruction of large volumes at an acceptable speed using only limited resources.
Keywords
Computed tomography, iterative reconstruction, multiresolution, X-ray imaging, CONE-BEAM RECONSTRUCTION, ALGEBRAIC RECONSTRUCTION, TRANSMISSION TOMOGRAPHY, IMAGE-RECONSTRUCTION, ORDERED SUBSETS, TECHNIQUE SART, REGION, ART, CT

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Please use this url to cite or link to this publication:

Chicago
De Witte, Yoni, Jelle Vlassenbroeck, and Luc Van Hoorebeke. 2010. “A Multiresolution Approach to Iterative Reconstruction Algorithms in X-ray Computed Tomography.” Ieee Transactions on Image Processing 19 (9): 2419–2427.
APA
De Witte, Y., Vlassenbroeck, J., & Van Hoorebeke, L. (2010). A multiresolution approach to iterative reconstruction algorithms in X-ray computed tomography. IEEE TRANSACTIONS ON IMAGE PROCESSING, 19(9), 2419–2427.
Vancouver
1.
De Witte Y, Vlassenbroeck J, Van Hoorebeke L. A multiresolution approach to iterative reconstruction algorithms in X-ray computed tomography. IEEE TRANSACTIONS ON IMAGE PROCESSING. 2010;19(9):2419–27.
MLA
De Witte, Yoni, Jelle Vlassenbroeck, and Luc Van Hoorebeke. “A Multiresolution Approach to Iterative Reconstruction Algorithms in X-ray Computed Tomography.” IEEE TRANSACTIONS ON IMAGE PROCESSING 19.9 (2010): 2419–2427. Print.
@article{910132,
  abstract     = {In computed tomography, the application of iterative reconstruction methods in practical situations is impeded by their high computational demands. Especially in high resolution X-ray computed tomography, where reconstruction volumes contain a high number of volume elements (several giga voxels), this computational burden prevents their actual breakthrough. Besides the large amount of calculations, iterative algorithms require the entire volume to be kept in memory during reconstruction, which quickly becomes cumbersome for large data sets. To overcome this obstacle, we present a novel multiresolution reconstruction, which greatly reduces the required amount of memory without significantly affecting the reconstructed image quality. It is shown that, combined with an efficient implementation on a graphical processing unit, the multiresolution approach enables the application of iterative algorithms in the reconstruction of large volumes at an acceptable speed using only limited resources.},
  author       = {De Witte, Yoni and Vlassenbroeck, Jelle and Van Hoorebeke, Luc},
  issn         = {1057-7149},
  journal      = {IEEE TRANSACTIONS ON IMAGE PROCESSING},
  language     = {eng},
  number       = {9},
  pages        = {2419--2427},
  title        = {A multiresolution approach to iterative reconstruction algorithms in X-ray computed tomography},
  url          = {http://dx.doi.org/10.1109/TIP.2010.2046960},
  volume       = {19},
  year         = {2010},
}

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