DocumentCode :
1009905
Title :
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
Link To Document :
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