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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Bibliographic Details
Main Authors: Mendrik, A.M., Vonken, E.P.A., Schilham, A.M.R., Viergever, M.A., van Ginneken, B.
Format: Conference Proceeding
Language:English
Subjects:
Biomedical imaging
Blood vessels
Cancer
Computational modeling
Computed tomography
Eigenvalues and eigenfunctions
Filtering
Medical simulation
Pixel
Tensile stress
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Summary: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
ISSN:1945-7928
1945-8452
DOI:10.1109/ISBI.2006.1625091