Hybrid diffusion compared with existing diffusion schemes on simulated low dose CT scans

Author

Mendrik, A.M. ; Vonken, E.P.A. ; Schilham, A.M.R. ; Viergever, M.A. ; van Ginneken, B.

Author_Institution

Inst. of Image Sci., Univ. Med. Center Utrecht

fYear

2006

fDate

6-9 April 2006

Firstpage

1008

Lastpage

1011

Abstract

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

Keywords

computerised tomography; image enhancement; medical image processing; noise; clinical CT chest scans; coherence-enhancing diffusion; computed tomography; diffusion filtering; edge-enhancing diffusion; hybrid diffusion model; noise filtering; simulated low dose CT scans; Biomedical imaging; Blood vessels; Cancer; Computational modeling; Computed tomography; Eigenvalues and eigenfunctions; Filtering; Medical simulation; Pixel; Tensile stress;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Imaging: Nano to Macro, 2006. 3rd IEEE International Symposium on

Conference_Location

Arlington, VA

Print_ISBN

0-7803-9576-X

Type

conf

DOI

10.1109/ISBI.2006.1625091

Filename

1625091