JOURNAL ARTICLE

Effective regularized algebraic reconstruction technique for computed tomography

Abstract

A new fast version of the reconstruction algorithm for computed tomography based on the simultaneous algebraic reconstruction technique (SART) is proposed. The algorithm iteration is asymptotically accelerated using the fast Hough transform from O(n 3) to O(n 2logn). Similarly to the algebraic reconstruction technique (RegART), which was proposed by us previously, the regularization operator is applied after each iteration. A bilateral filter plays the role of this operator. The algorithm behavior is investigated using the model experiment.

Keywords:
Regularization (linguistics) Algebraic number Algebraic Reconstruction Technique Algorithm Mathematics Iterative reconstruction Filter (signal processing) Hough transform Tomography Operator (biology) Computer science Image (mathematics) Computer vision Artificial intelligence Mathematical analysis Optics Physics

Metrics

11
Cited By
0.79
FWCI (Field Weighted Citation Impact)
7
Refs
0.75
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Medical Imaging Techniques and Applications
Health Sciences →  Medicine →  Radiology, Nuclear Medicine and Imaging
Advanced X-ray and CT Imaging
Physical Sciences →  Engineering →  Biomedical Engineering
Seismic Imaging and Inversion Techniques
Physical Sciences →  Earth and Planetary Sciences →  Geophysics

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