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.
Denoising Filter to Improve the Quality of CT Images / Andria, Gregorio; Attivissimo, Filippo; Cavone, Giuseppe; Lanzolla, Anna Maria Lucia; Spadavecchia, Maurizio; Magli, T.. - (2009), pp. 951-956. (Intervento presentato al convegno IEEE Instrumentation and Measurement Technology Conference, I2MTC '09 tenutosi a Singapore nel May 5-7, 2009) [10.1109/IMTC.2009.5168588].
Denoising Filter to Improve the Quality of CT Images
ANDRIA, Gregorio;ATTIVISSIMO, Filippo;CAVONE, Giuseppe;LANZOLLA, Anna Maria Lucia;SPADAVECCHIA, MAURIZIO;
2009-01-01
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
