Title :
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
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;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 2009. I2MTC '09. IEEE
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-3352-0
DOI :
10.1109/IMTC.2009.5168588
