loading
Documents

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Feriel Romdhane ; Faouzi Benzarti and Hamid Amiri

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

ISBN: 978-989-758-175-5

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.

PDF ImageFull Text

Download
Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.80.223.123

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

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 - Volume 3: VISAPP, (VISIGRAPP 2016) ISBN 978-989-758-175-5, 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 - Volume 3: VISAPP, (VISIGRAPP 2016)},
year={2016},
pages={101-105},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005692701010105},
isbn={978-989-758-175-5},
}

TY - CONF

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

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.