Reduction of blooming artifacts in cardiac CT images by blind deconvolution and anisotropic diffusion filtering
Even though CT is an imaging technique that offers high quality images, limitations on its spatial resolution cause blurring in small objects with high contrast. This phenomenon is known as blooming artifact and affects cardiac images with small calcifications and stents. This paper describes an app...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2015
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/9024
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/9024
- Palabra clave:
- Anisotropic diffusion ltering
Blind deconvolution
Blooming artifact
Computed tomography
Bioinformatics
Biomineralization
Convolution
Diffusion
Image enhancement
Optical anisotropy
Signal to noise ratio
Anisotropic diffusion
Anisotropic diffusion filtering
Anisotropic diffusion filters
Blind deconvolution
Blooming artifact
Cardiac images
High quality images
Spatial resolution
Computerized tomography
- Rights
- restrictedAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/
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Reduction of blooming artifacts in cardiac CT images by blind deconvolution and anisotropic diffusion filtering |
| title |
Reduction of blooming artifacts in cardiac CT images by blind deconvolution and anisotropic diffusion filtering |
| spellingShingle |
Reduction of blooming artifacts in cardiac CT images by blind deconvolution and anisotropic diffusion filtering Anisotropic diffusion ltering Blind deconvolution Blooming artifact Computed tomography Bioinformatics Biomineralization Convolution Diffusion Image enhancement Optical anisotropy Signal to noise ratio Anisotropic diffusion Anisotropic diffusion filtering Anisotropic diffusion filters Blind deconvolution Blooming artifact Cardiac images High quality images Spatial resolution Computerized tomography |
| title_short |
Reduction of blooming artifacts in cardiac CT images by blind deconvolution and anisotropic diffusion filtering |
| title_full |
Reduction of blooming artifacts in cardiac CT images by blind deconvolution and anisotropic diffusion filtering |
| title_fullStr |
Reduction of blooming artifacts in cardiac CT images by blind deconvolution and anisotropic diffusion filtering |
| title_full_unstemmed |
Reduction of blooming artifacts in cardiac CT images by blind deconvolution and anisotropic diffusion filtering |
| title_sort |
Reduction of blooming artifacts in cardiac CT images by blind deconvolution and anisotropic diffusion filtering |
| dc.contributor.editor.none.fl_str_mv |
Garcia-Arteaga J.D. Brieva J. Lepore N. Romero E. |
| dc.subject.keywords.none.fl_str_mv |
Anisotropic diffusion ltering Blind deconvolution Blooming artifact Computed tomography Bioinformatics Biomineralization Convolution Diffusion Image enhancement Optical anisotropy Signal to noise ratio Anisotropic diffusion Anisotropic diffusion filtering Anisotropic diffusion filters Blind deconvolution Blooming artifact Cardiac images High quality images Spatial resolution Computerized tomography |
| topic |
Anisotropic diffusion ltering Blind deconvolution Blooming artifact Computed tomography Bioinformatics Biomineralization Convolution Diffusion Image enhancement Optical anisotropy Signal to noise ratio Anisotropic diffusion Anisotropic diffusion filtering Anisotropic diffusion filters Blind deconvolution Blooming artifact Cardiac images High quality images Spatial resolution Computerized tomography |
| description |
Even though CT is an imaging technique that offers high quality images, limitations on its spatial resolution cause blurring in small objects with high contrast. This phenomenon is known as blooming artifact and affects cardiac images with small calcifications and stents. This paper describes an approach to reduce the blooming artifact and improve resolution in cardiac images using blind deconvolution and anisotropic diffusion filtering. Deconvolution increases resolution but reduces signal-to-noise ratio, and the anisotropic diffusion filter counteracts this effect without affecting the edges in the image. © 2015 SPIE. |
| publishDate |
2015 |
| dc.date.issued.none.fl_str_mv |
2015 |
| dc.date.accessioned.none.fl_str_mv |
2020-03-26T16:32:47Z |
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2020-03-26T16:32:47Z |
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http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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Conferencia |
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Proceedings of SPIE - The International Society for Optical Engineering; Vol. 9681 |
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9781628419160 |
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0277786X |
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https://hdl.handle.net/20.500.12585/9024 |
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10.1117/12.2209217 |
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Universidad Tecnológica de Bolívar |
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Repositorio UTB |
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57118254200 57118085900 56925085600 57210822856 |
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Proceedings of SPIE - The International Society for Optical Engineering; Vol. 9681 9781628419160 0277786X 10.1117/12.2209217 Universidad Tecnológica de Bolívar Repositorio UTB 57118254200 57118085900 56925085600 57210822856 |
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https://hdl.handle.net/20.500.12585/9024 |
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eng |
| language |
eng |
| dc.relation.conferencedate.none.fl_str_mv |
17 November 2015 through 19 November 2015 |
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Garcia-Arteaga J.D.Brieva J.Lepore N.Romero E.Castillo-Amor A.M.Navarro-Navia C.A.Cadena-Bonfanti A.J.Contreras Ortiz, Sonia Helena2020-03-26T16:32:47Z2020-03-26T16:32:47Z2015Proceedings of SPIE - The International Society for Optical Engineering; Vol. 968197816284191600277786Xhttps://hdl.handle.net/20.500.12585/902410.1117/12.2209217Universidad Tecnológica de BolívarRepositorio UTB57118254200571180859005692508560057210822856Even though CT is an imaging technique that offers high quality images, limitations on its spatial resolution cause blurring in small objects with high contrast. This phenomenon is known as blooming artifact and affects cardiac images with small calcifications and stents. This paper describes an approach to reduce the blooming artifact and improve resolution in cardiac images using blind deconvolution and anisotropic diffusion filtering. Deconvolution increases resolution but reduces signal-to-noise ratio, and the anisotropic diffusion filter counteracts this effect without affecting the edges in the image. © 2015 SPIE.Prometeo - Secretaria de Educacion Superior, Ciencia, Tecnologia e Innovacion;Red Nacional de Investigacion y Educacion del Ecuador;Universidad Nacional de Colombia Sede Bogota, CIM at labRecurso electrónicoapplication/pdfengSPIEhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/restrictedAccessAtribución-NoComercial 4.0 Internacionalhttp://purl.org/coar/access_right/c_16echttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84958212721&doi=10.1117%2f12.2209217&partnerID=40&md5=9262fb12eac2d8041c7f72da4aba3ea9Scopus2-s2.0-8495821272111th International Symposium on Medical Information Processing and Analysis, SIPAIM 2015Reduction of blooming artifacts in cardiac CT images by blind deconvolution and anisotropic diffusion filteringinfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionConferenciahttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_c94fAnisotropic diffusion lteringBlind deconvolutionBlooming artifactComputed tomographyBioinformaticsBiomineralizationConvolutionDiffusionImage enhancementOptical anisotropySignal to noise ratioAnisotropic diffusionAnisotropic diffusion filteringAnisotropic diffusion filtersBlind deconvolutionBlooming artifactCardiac imagesHigh quality imagesSpatial resolutionComputerized tomography17 November 2015 through 19 November 2015Priester, T., Atlas of cardiovascular computed tomography (2010) Journal of Cardiovascular Computed Tomog-raphy, 4 (4), p. 286Rossmann, K., Point spread-function, line spread-function, modulation transfer function: Tools for the study of imaging systems 1 (1969) Radiology, 93 (2), pp. 257-272Kayugawa, A., Ohkubo, M., Wada, S., Accurate determination of ct point-spread-function with high precision (2013) Journal of Applied Clinical Medical Physics, 14 (4)Droege, R.T., Morin, R.L., A practical method to measure the mtf of ct scanners (1982) Medical Physics, 9 (5), pp. 758-760Mahnken, A.H., Ct imaging of coronary stents: Past, present, future (2012) International Scholarly Research Notices 2012Jiang, M., Wang, G., Skinner, M., Rubinstein, J., Vannier, M., Blind deblurring of spiral ct images (2003) Medical Imaging IEEE Transactions on, 22, pp. 837-845. , JulyVillain, N., Goussard, Y., Idier, J., Allain, M., Three-dimensional edge-preserving image enhancement for computed tomography (2003) Medical Imaging IEEE Transactions on, 22, pp. 1275-1287. , OctLiang, Z., Karl, W., Do, S., Hoffmann, U., Brady, T., Pien, H., Calcium de-blooming in coronary ct image (2007) Bioinformatics and Bioengineering 2007. BIBE 2007. Proceedings of the 7th IEEE International Conference on, pp. 257-262. , OctLiang, Z., Karl, W., Do, S., Brady, T., Pien, H., Analysis and mitigation of calcium artifacts in cardiac multidetector ct (2008) Biomedical Imaging: From Nano to Macro 2008 ISBI 2008 5th IEEE International Symposium on, pp. 1477-1480. , MayRollano-Hijarrubia, E., Manniesing, R., Niessen, W., Selective deblurring for improved calcication visualization and quantication in carotid ct angiography: Validation using micro-ct (2009) Medical Imaging, IEEE Transactions on, 28, pp. 446-453. , MarchHofmann, C., Knaup, M., Kachelrie, M., Removing blooming artifacts with binarized deconvolution in cardiac ct (2014) SPIE Medical Imaging International Society for Optics and Photonics, pp. 90330J-90330JVan Aarle, W., Batenburg, K., Van Gompel, G., Casteele De E.Van, Sijbers, J., Super-resolution for com-puted tomography based on discrete tomography (2014) Image Processing, IEEE Transactions on, 23, pp. 1181-1193. , MarchSteckmann, S., Kachelries, M., Blooming artifact reduction for cardiac ct (2010) Nuclear Science Symposium Conference Record (NSS/MIC) 2010 IEEE, pp. 2030-2035. , OctWhite, R.L., Image restoration using the damped richardson-lucy method (1994) 1994 Symposium on Astro-nomical Telescopes & Instrumentation for the 21st Century, pp. 1342-1348. , International Society for Optics and PhotonicsFish, D., Walker, J., Brinicombe, A., Pike, E., Blind deconvolution by means of the richardson-lucy algorithm (1995) JOSA A, 12 (1), pp. 58-65Perona, P., Malik, J., Scale-space and edge detection using anisotropic diffusion (1990) IEEE Transactions on Pattern Analysis and Machine Intelligence, 12 (7), pp. 629-639Giraldo-Guzman, J., Porto-Solano, O., Cadena-Bonfanti, A., Contreras-Ortiz, S.H., Speckle reduction in echocardiography by temporal compounding and anisotropic diffusion ltering (2015) Tenth International Symposium on Medical Information Processing and Analysis, pp. 92871F-92871F. , International Society for Optics and PhotonicsMittal, D., Kumar, V., Saxena, S.C., Khandelwal, N., Kalra, N., Enhancement of the ultrasound images by modied anisotropic diffusion method (2010) Medical & Biological Engineering & Computing, 48 (12), pp. 1281-1291http://purl.org/coar/resource_type/c_c94fTHUMBNAILMiniProdInv.pngMiniProdInv.pngimage/png23941https://repositorio.utb.edu.co/bitstream/20.500.12585/9024/1/MiniProdInv.png0cb0f101a8d16897fb46fc914d3d7043MD5120.500.12585/9024oai:repositorio.utb.edu.co:20.500.12585/90242023-05-25 15:53:51.611Repositorio Institucional UTBrepositorioutb@utb.edu.co |