Anisotropic diffusion filtering applied to individual PET activation images: a simulation study

Author

Antoine, M.J. ; Travere, J.M. ; Bloyet, D.

Author_Institution

CEA, Caen, France

Volume

3

fYear

1995

Firstpage

1465

Abstract

A space-variant filter was designed to improve signal-to-noise ratio (SNR) in individual positron emission tomography (PET) “activated minus control” images. The aim of this study was to avoid averaging of signals from grey matter (GM) with those from surrounding white matter (WM) occurring after the usual Gaussian smoothing. The filtered images were obtained by solving the heat diffusion equation with a non-constant diffusion coefficient, chosen in order to restrict inter-region smoothing. Several diffusion coefficient maps calculated from a segmented magnetic resonance (MR) image were tested. Monte-Carlo simulations were used to characterize anisotropic diffusion filtering (ADF), in terms of GM signal preservation and statistical properties

Keywords

Monte Carlo methods; biodiffusion; brain; image segmentation; medical image processing; positron emission tomography; smoothing methods; Monte-Carlo simulations; anisotropic diffusion filtering; grey matter; heat diffusion equation; individual PET activation images; inter-region smoothing restriction; medical diagnostic imaging; nonconstant diffusion coefficient; nuclear medicine; signal preservation; signal-to-noise ratio improvement; space-variant filter; statistical properties; white matter; Anisotropic magnetoresistance; Equations; Filtering; Filters; Image segmentation; Magnetic separation; Positron emission tomography; Signal design; Signal to noise ratio; Smoothing methods;

fLanguage

English

Publisher

ieee

Conference_Titel

Nuclear Science Symposium and Medical Imaging Conference Record, 1995., 1995 IEEE

Conference_Location

San Francisco, CA

Print_ISBN

0-7803-3180-X

Type

conf

DOI

10.1109/NSSMIC.1995.500303

Filename

500303