Title :
Improving SNR in PET images by using anisotropic diffusion filtration
Author_Institution :
Dept. of Biomed. Stat & Sci. Comput., King Faisal Specialist Hosp. & Res. Centre, Riyadh, Saudi Arabia
fDate :
6/22/1905 12:00:00 AM
Abstract :
Investigates the effect of anisotropic diffusion filtering on the signal-to-noise ratio (SNR) of Positron Emission Tomography (PET) images. The projection images as well as images of tomographic slices were filtered using a total variation based anisotropic diffusion algorithm. It was shown that the anisotropic diffusion filtering reduced the noise about threefold in the images of a cylindrical uniformity phantom without a loss in resolution
Keywords :
medical image processing; noise; positron emission tomography; PET images; SNR improvement; anisotropic diffusion filtration; cylindrical uniformity phantom; medical diagnostic imaging; nuclear medicine; projection images; resolution loss; signal-to-noise ratio; tomographic slices; total variation based anisotropic diffusion algorithm; Anisotropic filters; Anisotropic magnetoresistance; Filtering; Filtration; Image edge detection; Image reconstruction; Image resolution; Noise reduction; Positron emission tomography; Signal to noise ratio;
Conference_Titel :
Engineering in Medicine and Biology Society, 2000. Proceedings of the 22nd Annual International Conference of the IEEE
Print_ISBN :
0-7803-6465-1
DOI :
10.1109/IEMBS.2000.900786
