<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>1815-5928</journal-id>
<journal-title><![CDATA[Ingeniería Electrónica, Automática y Comunicaciones]]></journal-title>
<abbrev-journal-title><![CDATA[EAC]]></abbrev-journal-title>
<issn>1815-5928</issn>
<publisher>
<publisher-name><![CDATA[Universidad Tecnológica de La Habana José Antonio Echeverría, Cujae]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1815-59282021000300045</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Reducción de artefactos de anillo en tomografía computarizada]]></article-title>
<article-title xml:lang="en"><![CDATA[Ring artifacts reduction in computed tomography]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Borroto Hernández]]></surname>
<given-names><![CDATA[Gimel L.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Pacheco Chanfrau]]></surname>
<given-names><![CDATA[Yankiel A.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Pérez Díaz]]></surname>
<given-names><![CDATA[Marlen]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Orozco Morales]]></surname>
<given-names><![CDATA[Rubén]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Dpto. de Control Automático de la UCLV  ]]></institution>
<addr-line><![CDATA[Villa Clara ]]></addr-line>
<country>Cuba</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2021</year>
</pub-date>
<volume>42</volume>
<numero>3</numero>
<fpage>45</fpage>
<lpage>59</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_arttext&amp;pid=S1815-59282021000300045&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_abstract&amp;pid=S1815-59282021000300045&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_pdf&amp;pid=S1815-59282021000300045&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[RESUMEN La tomografía computarizada es una técnica no invasiva ampliamente utilizada para la detección de problemas de salud. La calidad de imagen puede ser afectada por artefactos de anillos debidos a la falta de homogeneidad en los detectores del tomógrafo. En esta investigación se comparan siete métodos para la reducción de artefactos de anillos: Métodos de variaciones totales (TV), Variación total unidireccional (UTV), Modelo disperso direccional con filtrado L0 (DL0SM), Modelo de variación total-espectral anisótropo (ASSTV), Descomposición de imagen de bajo rango (LRSID), Método estático (SGE) y Método de filtrado por transformadas de Wavelet y Fourier (WF). Estos métodos se basan en la transformación del plano cartesiano al polar con centro de rotación en el centro de los mismos, los cuales son trasformados a líneas y luego estas son reducidas. Fueron programados en lenguaje Matlab. Su desempeño fue evaluado a partir del análisis de cuatro métricas objetivas de calidad de imagen y el criterio subjetivo de dos especialistas. Se demostró que el método de mejor desempeño entre los probados es el denominado UTV.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[ABSTRACT 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.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[tomografía]]></kwd>
<kwd lng="es"><![CDATA[artefactos]]></kwd>
<kwd lng="es"><![CDATA[reducción de anillos]]></kwd>
<kwd lng="es"><![CDATA[método UTV]]></kwd>
<kwd lng="en"><![CDATA[tomography]]></kwd>
<kwd lng="en"><![CDATA[artifact]]></kwd>
<kwd lng="en"><![CDATA[ring reduction]]></kwd>
<kwd lng="en"><![CDATA[UTV method]]></kwd>
</kwd-group>
</article-meta>
</front><back>
<ref-list>
<ref id="B1">
<label>1.</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Yao]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Zong]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Fan]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Sun]]></surname>
<given-names><![CDATA[Z.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhang]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Jiang]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Synchrotron X-ray Microtomography with Improved Image Quality by Ring Artifacts Correction for Structural Analysis of Insects]]></article-title>
<source><![CDATA[Microsc Microanal]]></source>
<year>2017</year>
<volume>23</volume>
<numero>5</numero>
<issue>5</issue>
<page-range>938-44</page-range></nlm-citation>
</ref>
<ref id="B2">
<label>2.</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Hsieh]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<source><![CDATA[Computed tomography: principles, design, artifacts, and recent advances]]></source>
<year>2003</year>
<edition>3a</edition>
<publisher-loc><![CDATA[Bellingham, WA ]]></publisher-loc>
<publisher-name><![CDATA[SPIE Optical Engineering Press]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B3">
<label>3.</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Paleo]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Mirone]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Ring artifacts correction in compressed sensing tomographic reconstruction]]></article-title>
<source><![CDATA[J Synchrotron Rad]]></source>
<year>2015</year>
<volume>22</volume>
<numero>5</numero>
<issue>5</issue>
<page-range>1268-78</page-range></nlm-citation>
</ref>
<ref id="B4">
<label>4.</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Huo]]></surname>
<given-names><![CDATA[Q.]]></given-names>
</name>
<name>
<surname><![CDATA[Li]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Lu]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Yan]]></surname>
<given-names><![CDATA[Z.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Removing Ring Artifacts in CBCT Images Using Smoothing Based on Relative Total Variation]]></article-title>
<person-group person-group-type="editor">
<name>
<surname><![CDATA[Hirose]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Ozawa]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Doya]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Ikeda]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Lee]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Liu]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
</person-group>
<source><![CDATA[Neural Information Processing, 9947]]></source>
<year>2016</year>
<page-range>501-9</page-range><publisher-name><![CDATA[Springer International Publishing]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B5">
<label>5.</label><nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Brun]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[Accardo]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Kourousias]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Dreossi]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Pugliese]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
</person-group>
<source><![CDATA[Effective implementation of ring artifacts removal filters for synchrotron radiation microtomographic images]]></source>
<year>2013</year>
<conf-name><![CDATA[ 8thInternational Symposium on Image and Signal Processing and Analysis (ISPA)]]></conf-name>
<conf-loc>Trieste </conf-loc>
<page-range>672-6</page-range></nlm-citation>
</ref>
<ref id="B6">
<label>6.</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Sartori]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Artefactos y artificios frecuentes en tomografía computada y resonancia magnética]]></article-title>
<source><![CDATA[Revista Argentina de Radiología]]></source>
<year>2015</year>
<volume>79</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>192-204</page-range></nlm-citation>
</ref>
<ref id="B7">
<label>7.</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Massimi]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Brun]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[Fratini]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Bukreeva]]></surname>
<given-names><![CDATA[I.]]></given-names>
</name>
<name>
<surname><![CDATA[Cedola]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[An improved ring removal procedure for in-line x-ray phase contrast tomography]]></article-title>
<source><![CDATA[Phys. Med. Biol]]></source>
<year>2018</year>
<volume>63</volume>
<numero>4</numero>
<issue>4</issue>
</nlm-citation>
</ref>
<ref id="B8">
<label>8.</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Prell]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Kyriakou]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Kalender]]></surname>
<given-names><![CDATA[W. A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Comparison of ring artifact correction methods for flat-detector CT]]></article-title>
<source><![CDATA[Phys. Med. Biol.]]></source>
<year>2009</year>
<volume>54</volume>
<numero>12</numero>
<issue>12</issue>
<page-range>3881-95</page-range></nlm-citation>
</ref>
<ref id="B9">
<label>9.</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Bouali]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Ladjal]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Toward Optimal Destriping of MODIS Data Using a Unidirectional Variational Model]]></article-title>
<source><![CDATA[IEEE Trans. Geosci. Remote Sensing]]></source>
<year>2011</year>
<volume>49</volume>
<numero>8</numero>
<issue>8</issue>
<page-range>2924-35</page-range></nlm-citation>
</ref>
<ref id="B10">
<label>10.</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Chang]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Yan]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Fang]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Luo]]></surname>
<given-names><![CDATA[Ch.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Anisotropic Spectral-Spatial Total Variation Model for Multispectral Remote Sensing Image Destriping]]></article-title>
<source><![CDATA[IEEE Trans. on Image Process]]></source>
<year>2015</year>
<volume>24</volume>
<numero>6</numero>
<issue>6</issue>
<page-range>1852-66</page-range></nlm-citation>
</ref>
<ref id="B11">
<label>11.</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Chang]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Yan]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Wu]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhong]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Remote Sensing Image Stripe Noise Removal: From Image Decomposition Perspective]]></article-title>
<source><![CDATA[IEEE Trans. Geosci. Remote Sensing]]></source>
<year>2016</year>
<volume>54</volume>
<numero>12</numero>
<issue>12</issue>
<page-range>7018-31</page-range></nlm-citation>
</ref>
<ref id="B12">
<label>12.</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Infante]]></surname>
<given-names><![CDATA[S. O.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Wavelet analysis for the elimination of striping noise in satellite images]]></article-title>
<source><![CDATA[Opt. Eng]]></source>
<year>2001</year>
<volume>40</volume>
<numero>7</numero>
<issue>7</issue>
<page-range>1309-19</page-range></nlm-citation>
</ref>
<ref id="B13">
<label>13.</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Münch]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
<name>
<surname><![CDATA[Trtik]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Marone]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[Stampanoni]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Stripe and ring artifact removal with combined wavelet-Fourier filtering]]></article-title>
<source><![CDATA[Opt. Express]]></source>
<year>2009</year>
<volume>17</volume>
<numero>10</numero>
<issue>10</issue>
<page-range>8567-75</page-range></nlm-citation>
</ref>
<ref id="B14">
<label>14.</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Dou]]></surname>
<given-names><![CDATA[H. X.]]></given-names>
</name>
<name>
<surname><![CDATA[Huang]]></surname>
<given-names><![CDATA[T. Z.]]></given-names>
</name>
<name>
<surname><![CDATA[Deng]]></surname>
<given-names><![CDATA[L. J.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhao]]></surname>
<given-names><![CDATA[X. L.]]></given-names>
</name>
<name>
<surname><![CDATA[Huang]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Directional &#8467;0 Sparse Modeling for Image Stripe Noise Removal]]></article-title>
<source><![CDATA[Remote Sensing]]></source>
<year>2018</year>
<volume>10</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>361-7</page-range></nlm-citation>
</ref>
<ref id="B15">
<label>15.</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Carfantan]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Idier]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Statistical Linear Destriping of Satellite-Based Pushbroom-Type Images]]></article-title>
<source><![CDATA[IEEE Trans. Geosci. Remote Sensing]]></source>
<year>2010</year>
<volume>48</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>1860-71</page-range></nlm-citation>
</ref>
<ref id="B16">
<label>16.</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Rudin]]></surname>
<given-names><![CDATA[L. I.]]></given-names>
</name>
<name>
<surname><![CDATA[Osher]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Fatemi]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Nonlinear total variation based noise removal algorithms]]></article-title>
<source><![CDATA[Physica D]]></source>
<year>1992</year>
<volume>60</volume>
<numero>1-4</numero>
<issue>1-4</issue>
<page-range>259-68</page-range></nlm-citation>
</ref>
<ref id="B17">
<label>17.</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Chang]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Yan]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Fang]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Liu]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Simultaneous destriping and denoising for remote sensing images with unidirectional total variation and sparse representation]]></article-title>
<source><![CDATA[IEEE Trans. on Geosc. Remote Sensing Letters]]></source>
<year>2013</year>
<volume>11</volume>
<numero>6</numero>
<issue>6</issue>
<page-range>1051-5</page-range></nlm-citation>
</ref>
<ref id="B18">
<label>18.</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ruiz-Gonzalez]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Perez-Diaz]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Martínez-Aguila]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Diaz-Barreto]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Fleitas]]></surname>
<given-names><![CDATA[I.]]></given-names>
</name>
<name>
<surname><![CDATA[Mora-Machado]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Objective measurements of image quality in synchrotron radiation phase-contrast imaging vs. digital mammography]]></article-title>
<source><![CDATA[Int JCARS]]></source>
<year>2015</year>
<volume>11</volume>
<numero>2</numero>
<issue>2</issue>
<publisher-name><![CDATA[Springer]]></publisher-name>
</nlm-citation>
</ref>
</ref-list>
</back>
</article>
