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Authors: Feriel Romdhane ; Faouzi Benzarti and Hamid Amiri

Affiliation: National Engineering School of Tunis and El Manar University, Tunisia

Keyword(s): 3D-CT Images, 3D-Denoising Method, Diffusion Tensor, CED Model.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Image Enhancement and Restoration ; Image Formation and Preprocessing

Abstract: The denoising step for Computed Tomography (CT) images is an important challenge in the medical image processing. These images are degraded by low resolution and noise. In this paper, we propose a new method for 3D CT denoising based on Coherence Enhancing Diffusion model. Quantitative measures such as PSNR, SSIM and RMSE are computed to a phantom CT image in order to improve the efficiently of our proposed model, compared to a number of denoising algorithms. Furthermore, experimental results on a real 3D CT data show that this approach is effective and promising in removing noise and preserving details.

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Paper citation in several formats:
Romdhane, F.; Benzarti, F. and Amiri, H. (2016). Denoising 3D Computed Tomography Images using New Modified Coherence Enhancing Diffusion Model. In Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016) - Volume 3: VISAPP; ISBN 978-989-758-175-5; ISSN 2184-4321, SciTePress, pages 101-105. DOI: 10.5220/0005692701010105

@conference{visapp16,
author={Feriel Romdhane. and Faouzi Benzarti. and Hamid Amiri.},
title={Denoising 3D Computed Tomography Images using New Modified Coherence Enhancing Diffusion Model},
booktitle={Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016) - Volume 3: VISAPP},
year={2016},
pages={101-105},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005692701010105},
isbn={978-989-758-175-5},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016) - Volume 3: VISAPP
TI - Denoising 3D Computed Tomography Images using New Modified Coherence Enhancing Diffusion Model
SN - 978-989-758-175-5
IS - 2184-4321
AU - Romdhane, F.
AU - Benzarti, F.
AU - Amiri, H.
PY - 2016
SP - 101
EP - 105
DO - 10.5220/0005692701010105
PB - SciTePress