Reducción de ruido en imágenes de SPECT utilizando métodos de variación total

Authors

  • Sergio E. Ybargollin- Machado Departamento de Telecomunicaciones y Electrónica, Facultad de Ing. Eléctrica, Universidad Central Marta Abreu de las Villas, Santa Clara, Cuba
  • Marlen Pérez-Díaz Departamento de Control Automático, Facultad de Ing. Eléctrica, Universidad Central Marta Abreu de las Villas, Santa Clara, Cuba
  • Rubén Orozco-Morales Departamento de Control Automático, Facultad de Ing. Eléctrica, Universidad Central Marta Abreu de las Villas, Santa Clara, Cuba;
  • Reinaldo Roque-Díaz Departamento de Medicina Nuclear, Hospital Universitario Celestino Hernández, Santa Clara, Cuba.

DOI:

https://doi.org/10.55747/bjedis.v2i1.52471

Keywords:

Medicina Nuclear, SPECT, ruido, procesamiento digital de imágenes, análisis estadístico no paramétrico

Abstract

La reducción del ruido en imágenes de Tomografía Computarizada por Emisión de Fotón Único (SPECT) sigue siendo un campo de investigación en la actualidad. El ruido produce una degradación en la calidad de las imágenes, lo cual puede
afectar la precisión de los diagnósticos médicos. En esta investigación se comparan 11 métodos modernos basados en variación total, para la reducción del ruido en imágenes de SPECT. Se utilizan un corte tomográfico del maniquí de Jaszczak, el cual es procesado por todos los métodos. Para evaluar la calidad de las imágenes procesadas, se emplearon métricas objetivas de calidad de imagen. Se realiza un análisis estadístico no paramétrico de los resultados, y se obtuvo que, si se requiere mantener un alto contraste imagen, se sugiere emplear los métodos FISTA o DCRG-PPXA; en cambio, para mantener la mejor resolución espacial posible, se debe elegir a TVNLR o RTV. Por su parte, los métodos PDHG y GPCL, remueven una alta cantidad de ruido, aportando excelentes valores tanto de relación señal a ruido como de relación contraste a ruido.

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Author Biography

Sergio E. Ybargollin- Machado, Departamento de Telecomunicaciones y Electrónica, Facultad de Ing. Eléctrica, Universidad Central Marta Abreu de las Villas, Santa Clara, Cuba

Associate (III) Prof. Fernando Gomes: Expertise focused in the use of renewable resources and nanocomposites in sensors, drug delivery and environmental recovery. Coordination of more than ten research projects with financial support from Brazilian government sponsoring agencies. Published 160 scientific articles plus 13 accepted for publication during 2021. Published 8 books. Among them,3 chemistry books in Portuguese and 3 books about Biopolymers in English. He has published more than two hundred papers in Conferences and Scientific meetings. Co-convener of the Sixth International Conference on Natural Polymers, Biopolymers and biomaterials: Applications from macro to nanoscale (http://www.biopolymers.macromol.in/), Chairman of the Fifth International Conference on Natural Polymers, Biopolymers and biomaterials: Applications from macro to nanoscale (https://www.icnp2017rio.com/) and Chaiman of the 1st Brazilian Conference on Design of Experiments and Data Analysis (https://sites.google.com/pent.coppe.ufrj.br/conbrapa2020). Supervisor of 128 undergraduate students; 29 M.Sc. students, 14 Ph.D. students and 6 Post Doc. Nowadays I am the supervisor of 11 undergraduate students; 7 M.Sc. students, 10 Ph.D. students and 3 Post Doc. Associate Editor of the MedCrave Online Journal (MOJ) Polymer Science (ISSN: 2574-9773) since 2017. Editor of the Academic Journal of Polymer Science (ISSN: 2641-8282), since 2018. Member of the Editorial Board of Composite Interfaces (ISSN: 0927-6440), since 2021. Member of the editorial board of Current Applied Polymer Science (ISSN 2452-2716) since 2016 and Editor-in-Chief of Current Applied Polymer Science (ISSN 2452-2716) since 2020. Professor Gomes has founded the Brazilian Journal of Experimental Design, Data Analysis and Inferential Statistics in 2021, acting as its 1st Editor-in-Chief. Awardedtwice as Young Scientist of Rio de Janeiro State (FAPERJ 2011 and 2014), Chair Professorship on Nanoscience and Nanotechnology - Mahatma Gandhi University – India (2018), member of Post Graduate Program in Science and Technology of Polymers of the Macromolecules Institute / Federal University of Rio de Janeiro (UFRJ) since 2008, member of Post Graduate Program in Civil Engineering (COPPE/UFRJ) between 2015-2019 and member of Post Graduate Program in Nanotechnology (COPPE/UFRJ) since 2019.

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Published

2022-05-18

Issue

Vol. 2 No. 1 (2022)

Section

Articles

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