DocumentCode
1481511
Title
Energy dependence of nonstationary scatter subtraction-restoration in high resolution PET
Author
Bentourkia, M´hamed ; Lecomte, Roger
Author_Institution
Dept. of Nucl. Med. & Radiobiol., Sherbrooke Univ., Que., Canada
Volume
18
Issue
1
fYear
1999
Firstpage
66
Lastpage
73
Abstract
In previous works, the determination of object and detector scatter kernels from line source measurements was described and their application in scatter correction was investigated. It was also shown that low energy data contains a large fraction of useful events (true and detector scatter events). In the present work, data acquired in multispectral mode was summed in single broad energy windows of lower energy thresholds varying from 129 to 516 keV in steps of 43 keV and a constant upper energy threshold of 645 keV. Line-source projections were fitted by extracting the object and detector scatter kernels as a function of energy threshold. These kernels were then used to process scatter by the nonstationary convolution subtraction-restoration method in phantom images. After scatter correction, the sensitivity is found to increase by up to 64% at the lower threshold of 129 keV, relative to the conventional photo-peak energy window (344-645 keV). Whereas contrast and spatial resolution are degraded as the energy discriminator is lowered, such degradation is fully recovered by the scatter correction. As a result of scatter correction, the noise increases insignificantly in hot regions but substantially in cold regions, in proportion of the amount of scatter.
Keywords
gamma-ray scattering; image resolution; image restoration; medical image processing; positron emission tomography; 129 to 645 keV; cold regions; contrast; energy dependence; energy discriminator; high resolution PET; hot regions; kernels; medical diagnostic imaging; nonstationary scatter subtraction-restoration; nuclear medicine; phantom images; photo-peak energy window; spatial resolution; Convolution; Data mining; Degradation; Detectors; Energy resolution; Event detection; Kernel; Object detection; Positron emission tomography; Scattering; Image Processing, Computer-Assisted; Phantoms, Imaging; Scattering, Radiation; Tomography, Emission-Computed;
fLanguage
English
Journal_Title
Medical Imaging, IEEE Transactions on
Publisher
ieee
ISSN
0278-0062
Type
jour
DOI
10.1109/42.750257
Filename
750257
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