A comprehensive study of a similarity criterion in cardiac computerized tomography images enhancement
This research focuses on the study of a particular filter based on a similarity criterion that has been applied to improve the information contained in images acquired using different cardiac imaging modalities. The primary attention of this study is to examine which component of the similarity cri...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Universidad de Antioquia
2020-07-01
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| Series: | Revista Facultad de Ingeniería Universidad de Antioquia |
| Subjects: | |
| Online Access: | https://revistas.udea.edu.co/index.php/ingenieria/article/view/341804 |
| _version_ | 1797861805980123136 |
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| author | Antonio José Bravo Valero Miguel Ángel Vera Yoleidy Huérfano Yeison Fabián Manrique Hidalgo |
| author_facet | Antonio José Bravo Valero Miguel Ángel Vera Yoleidy Huérfano Yeison Fabián Manrique Hidalgo |
| author_sort | Antonio José Bravo Valero |
| collection | DOAJ |
| description |
This research focuses on the study of a particular filter based on a similarity criterion that has been applied to improve the information contained in images acquired using different cardiac imaging modalities. The primary attention of this study is to examine which component of the similarity criterion generates more relevant information useful to increase the medical image quality. In this sense, four case studies are established, first a complete formulation of the similarity criterion is considered, and then three additional cases, representing each component of the criterion; such cases are referred to as full, main, residual , and residual, respectively. A score function is used for quantifying and then assessing the impact of each component of the similarity criterion. Such measure is a relation between some full–reference and blind–reference image enhancement measures. A computer generated phantom and a representative clinical dataset (1,270 three–dimensional images from 126 patients) are used in a thorough evaluation of the similarity criterion. In general terms of performance of the image enhancement technique, the results of the study reveal that the component residual1 outperforms than the other two components of similarity criterion or its complete formulation.
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| first_indexed | 2024-04-09T22:09:06Z |
| format | Article |
| id | doaj.art-2500b669d22b4e029fa221a09ae5f2d2 |
| institution | Directory Open Access Journal |
| issn | 0120-6230 2422-2844 |
| language | English |
| last_indexed | 2024-04-09T22:09:06Z |
| publishDate | 2020-07-01 |
| publisher | Universidad de Antioquia |
| record_format | Article |
| series | Revista Facultad de Ingeniería Universidad de Antioquia |
| spelling | doaj.art-2500b669d22b4e029fa221a09ae5f2d22023-03-23T12:28:12ZengUniversidad de AntioquiaRevista Facultad de Ingeniería Universidad de Antioquia0120-62302422-28442020-07-0110210.17533/udea.redin.20200799A comprehensive study of a similarity criterion in cardiac computerized tomography images enhancement Antonio José Bravo Valero0Miguel Ángel Vera1Yoleidy Huérfano2Yeison Fabián Manrique Hidalgo3Simón Bolívar UniversitySimón Bolívar UniversityUniversity of Los AndesSimón Bolívar University This research focuses on the study of a particular filter based on a similarity criterion that has been applied to improve the information contained in images acquired using different cardiac imaging modalities. The primary attention of this study is to examine which component of the similarity criterion generates more relevant information useful to increase the medical image quality. In this sense, four case studies are established, first a complete formulation of the similarity criterion is considered, and then three additional cases, representing each component of the criterion; such cases are referred to as full, main, residual , and residual, respectively. A score function is used for quantifying and then assessing the impact of each component of the similarity criterion. Such measure is a relation between some full–reference and blind–reference image enhancement measures. A computer generated phantom and a representative clinical dataset (1,270 three–dimensional images from 126 patients) are used in a thorough evaluation of the similarity criterion. In general terms of performance of the image enhancement technique, the results of the study reveal that the component residual1 outperforms than the other two components of similarity criterion or its complete formulation. https://revistas.udea.edu.co/index.php/ingenieria/article/view/341804medical technologydata processingalgorithmsmeasurementdata analysis |
| spellingShingle | Antonio José Bravo Valero Miguel Ángel Vera Yoleidy Huérfano Yeison Fabián Manrique Hidalgo A comprehensive study of a similarity criterion in cardiac computerized tomography images enhancement Revista Facultad de Ingeniería Universidad de Antioquia medical technology data processing algorithms measurement data analysis |
| title | A comprehensive study of a similarity criterion in cardiac computerized tomography images enhancement |
| title_full | A comprehensive study of a similarity criterion in cardiac computerized tomography images enhancement |
| title_fullStr | A comprehensive study of a similarity criterion in cardiac computerized tomography images enhancement |
| title_full_unstemmed | A comprehensive study of a similarity criterion in cardiac computerized tomography images enhancement |
| title_short | A comprehensive study of a similarity criterion in cardiac computerized tomography images enhancement |
| title_sort | comprehensive study of a similarity criterion in cardiac computerized tomography images enhancement |
| topic | medical technology data processing algorithms measurement data analysis |
| url | https://revistas.udea.edu.co/index.php/ingenieria/article/view/341804 |
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