DocumentCode :
1241079
Title :
Triple energy window scatter correction technique in PET
Author :
Shao, Lhgxiong ; Freifelder, Richard ; Karp, Joel S.
Author_Institution :
Dept. of Radiol., Pennsylvania Univ., Philadelphia, PA, USA
Volume :
13
Issue :
4
fYear :
1994
fDate :
12/1/1994 12:00:00 AM
Firstpage :
641
Lastpage :
648
Abstract :
A practical triple energy window technique (TEW) is proposed, which is based on using the information in two lower energy windows and one single calibration, to estimate the scatter within the photopeak window. The technique is basically a conventional dual-window technique plus a modification factor, which can partially compensate object-distribution dependent scatters. The modification factor is a function of two lower scatter windows of both the calibration phantom and the actual object. In order to evaluate the technique, a Monte Carlo simulation program, which simulates the PENN-PET scanner geometry, was used. Different phantom activity distributions and phantom sizes were tested to simulate brain studies, including uniform and nonuniform distributions. The results indicate that the TEW technique works well for a wide range of activity distributions and object sizes. The comparisons between the TEW and dual window techniques show better quantitative accuracy for the TEW, especially for different phantom sizes. The technique is also applied to experimental data from a PENN-PET scanner to test its practicality
Keywords :
medical image processing; positron emission tomography; Monte Carlo simulation program; PENN-PET scanner geometry; calibration phantom; dual-window technique; medical diagnostic imaging; modification factor; nuclear medicine; object-distribution dependent scatters; phantom activity distribution; phantom size; photopeak window; triple energy window scatter correction technique; Brain modeling; Calibration; Detectors; Discrete event simulation; Geometry; Imaging phantoms; Positron emission tomography; Scattering; Solid modeling; Testing;
fLanguage :
English
Journal_Title :
Medical Imaging, IEEE Transactions on
Publisher :
ieee
ISSN :
0278-0062
Type :
jour
DOI :
10.1109/42.363104
Filename :
363104
Link To Document :
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