Denoising filter to improve the quality of CT images

Author

Lanzolla, Anna Maria Lucia ; Andria, G. ; Attivissimo, Filippo ; Cavone, Graziana ; Spadavecchia, Maurizio ; Magli, T.

Author_Institution

Dept. of Environ. Eng. & Sustainable Dev., Polytech. of Bari, Taranto, Italy

fYear

2009

fDate

5-7 May 2009

Firstpage

947

Lastpage

950

Abstract

The purpose of this study is to assess the effect of different noise reduction filters on computed tomography (CT) images. In particular, a denoising filter based on a combination of Gaussian and Prewitt operators is proposed. Simulation results show that the technique proposed increases the image quality, and then allows using low radiation dose protocol in CT examinations. This work was carried out in collaboration with "G.Moscati" Hospital of Taranto (Italy), that supplied all the images and technical materials used in the proposed algorithm.

Keywords

Gaussian processes; computerised tomography; image denoising; medical image processing; G.Moscati Hospital of Taranto; Gaussian operator; Prewitt operator; computed tomography image quality; image denoising filter; low radiation dose protocol; noise reduction filter; Computed tomography; Detectors; Filters; Hospitals; Image quality; Image reconstruction; Noise reduction; Protocols; Radiology; X-ray imaging; Computed tomography; denoising filters; image quality; radiation dose;

fLanguage

English

Publisher

ieee

Conference_Titel

Instrumentation and Measurement Technology Conference, 2009. I2MTC '09. IEEE

Conference_Location

Singapore

ISSN

1091-5281

Print_ISBN

978-1-4244-3352-0

Type

conf

DOI

10.1109/IMTC.2009.5168588

Filename

5168588