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A Novel Tomographic Reconstruction Method Based on the Robust Student's t Function For Suppressing Data Outliers
- Source :
- Kazantsev, D, Bleichrodt, F, van Leeuwen, T, Kaestner, A, Withers, P, Batenburg, K J & Lee, P 2017, ' A novel tomographic reconstruction method based on the robust Student’s t function for suppressing data outliers ', IEEE Transactions on Computational Imaging, vol. PP, no. 99, pp. 1 . https://doi.org/10.1109/TCI.2017.2694607
- Publication Year :
- 2017
- Publisher :
- Institute of Electrical and Electronics Engineers, 2017.
-
Abstract
- Regularized iterative reconstruction methods in computed tomography can be effective when reconstructing from mildly inaccurate undersampled measurements. These approaches will fail, however, when more prominent dataerrors, or outliers, are present. These outliers are associated with various inaccuracies of the acquisition process: defective pixels or miscalibrated camerasensors, scattering, missing angles, etc. To account for such large outliers, robust data misfit functions, such as the generalized Huber function, have beenapplied successfully in the past. In conjunction with regularization techniques, these methods can overcome problems with both limited data and outliers. Thispaper proposes a novel reconstruction approach using a robust data fitting term which is based on the Student’s t distribution. This misfit promises to beeven more robust than the Huber misfit as it assigns a smaller penalty to large outliers. We include the total variation regularization term and automaticestimation of a scaling parameter that appears in the Student’s t function. We demonstrate the effectiveness of the technique by using a realistic synthetic phantom and also apply it to a real neutron dataset.
- Subjects :
- limited angle regularization
zingers
Technology
Science & Technology
X-ray CT
ring artifacts
ALGORITHMS
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Limited angle regularization
proximal point
NOISE
Neutron tomography
ITERATIVE RECONSTRUCTION
REDUCTION
REMOVAL
neutron tomography
robust statistics
ring artefacts
Imaging Science & Photographic Technology
OPTIMIZATION
INVERSE PROBLEMS
CT
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- Kazantsev, D, Bleichrodt, F, van Leeuwen, T, Kaestner, A, Withers, P, Batenburg, K J & Lee, P 2017, ' A novel tomographic reconstruction method based on the robust Student’s t function for suppressing data outliers ', IEEE Transactions on Computational Imaging, vol. PP, no. 99, pp. 1 . https://doi.org/10.1109/TCI.2017.2694607
- Accession number :
- edsair.dedup.wf.001..957282a7378eff122cc2e20d15ea945e