Abstract

BORROTO HERNANDEZ, Gimel L.; PACHECO CHANFRAU, Yankiel A.; PEREZ DIAZ, Marlen  and  OROZCO MORALES, Rubén. Ring artifacts reduction in computed tomography. EAC [online]. 2021, vol.42, n.3, pp.45-59.  Epub Dec 11, 2021. ISSN 1815-5928.

Computed tomography is a widely used non-invasive technique for the detection of health problems. Image quality can be affected by ring artifacts due to inhomogeneities in the scanner's detectors. In this research, seven methods for ring artifact reduction were compared: Total Variation Methods (TV), Unidirectional Total Variation (UTV), Directional Sparse Model with L0 Filtering (DL0SM), Anisotropic Total-Spectral Variation Model (ASSTV), Low Range Image Decomposition (LRSID), a Static Method (SGE) and Wavelet and Fourier Transform Filtering (WF) method. These methods are based on the transformation of the Cartesian plane to the polar one with the center of rotation in the center of the same, which are transformed into lines and then these are reduced. They were programmed in MATLAB. Its performance is evaluated from the analysis of four objective image quality metrics, and the subjective criteria of two specialists. It was shown that the method with the best performance among those tested is the so-called UTV.

Keywords : tomography; artifact; ring reduction; UTV method.

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