Paper
22 December 2015 Reduction of blooming artifacts in cardiac CT images by blind deconvolution and anisotropic diffusion filtering
Angélica M. Castillo-Amor, Cristian A. Navarro-Navia, Alberto J. Cadena-Bonfanti, Sonia H. Contreras-Ortiz
Author Affiliations +
Proceedings Volume 9681, 11th International Symposium on Medical Information Processing and Analysis; 96810P (2015) https://doi.org/10.1117/12.2209217
Event: 11th International Symposium on Medical Information Processing and Analysis (SIPAIM 2015), 2015, Cuenca, Ecuador
Abstract
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) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Angélica M. Castillo-Amor, Cristian A. Navarro-Navia, Alberto J. Cadena-Bonfanti, and Sonia H. Contreras-Ortiz "Reduction of blooming artifacts in cardiac CT images by blind deconvolution and anisotropic diffusion filtering", Proc. SPIE 9681, 11th International Symposium on Medical Information Processing and Analysis, 96810P (22 December 2015); https://doi.org/10.1117/12.2209217
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Cited by 2 scholarly publications.
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KEYWORDS
Deconvolution

Signal to noise ratio

Anisotropic diffusion

Computed tomography

Point spread functions

Image filtering

Image resolution

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