Source distribution dependent scatter correction for PVI

Author

Barney, J. Scott ; Harrop, Ronald ; Dykstra, Christine J.

Author_Institution

Sch. of Comput. Sci., Simon Fraser Univ., Burnaby, BC, Canada

Volume

40

Issue

4

fYear

1993

fDate

8/1/1993 12:00:00 AM

Firstpage

1001

Lastpage

1007

Abstract

Source distribution dependent scatter correction methods which incorporate different amounts of information about the source position and material distribution are developed and tested. The techniques use image to projection integral transformation, incorporating varying degrees of information on the distribution of scattering material, or convolution subtraction methods, with some information about the scattering material included in one of the convolution methods. To test the techniques, they are applied to data generated by Monte Carlo simulations which use geometric shapes or a voxelized density map to model the scattering material. Source position and material distribution are found to have some effect on scatter correction. An image to projection method which incorporates a density map produces accurate scatter correction but is computationally expensive. Simpler methods, both image to projection and convolution, can also provide effective scatter correction

Keywords

Monte Carlo methods; computerised tomography; medical image processing; patient diagnosis; radioisotope scanning and imaging; Monte Carlo simulations; PVI; convolution methods; geometric shapes; image to projection integral transformation; material distribution; positron volume imaging; source distribution dependent scatter correction; source position; voxelized density map; Convolution; Degradation; Distributed computing; Gamma rays; Head; Image recognition; Materials testing; Scattering; Shape; Solid modeling;

fLanguage

English

Journal_Title

Nuclear Science, IEEE Transactions on

Publisher

ieee

ISSN

0018-9499

Type

jour

DOI

10.1109/23.256701

Filename

256701