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Hybrid diffusion compared with existing diffusion schemes on simulated low dose CT scans
Because of the growing interest in low dose computed tomography (CT) scanning, noise has become a major issue in CT imaging. Diffusion filtering is a well-known technique for filtering noise from images. We propose a hybrid diffusion model, which combines edge-enhancing diffusion (EED) and coherence...
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creator | Mendrik, A.M. Vonken, E.P.A. Schilham, A.M.R. Viergever, M.A. van Ginneken, B. |
description | Because of the growing interest in low dose computed tomography (CT) scanning, noise has become a major issue in CT imaging. Diffusion filtering is a well-known technique for filtering noise from images. We propose a hybrid diffusion model, which combines edge-enhancing diffusion (EED) and coherence-enhancing diffusion (CED) in a continuous manner. This diffusion model is compared with five existing diffusion schemes. Quantitative experimental results are presented on clinical CT chest scans, using high dose and simulated low dose scans |
doi_str_mv | 10.1109/ISBI.2006.1625091 |
format | conference_proceeding |
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identifier | ISSN: 1945-7928 |
ispartof | 2006 3rd IEEE International Symposium on Biomedical Imaging--Macro to Nano : Arlington, WA, 6-9 April 2006, 2006, Vol.3, p.1008-1011 |
issn | 1945-7928 1945-8452 |
language | eng |
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source | IEEE Xplore All Conference Series |
subjects | Biomedical imaging Blood vessels Cancer Computational modeling Computed tomography Eigenvalues and eigenfunctions Filtering Medical simulation Pixel Tensile stress |
title | Hybrid diffusion compared with existing diffusion schemes on simulated low dose CT scans |
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