DocumentCode :
3759740
Title :
A joint beta and coincidence-gamma data modeling and image reconstruction framework for plant leaf imaging
Author :
Homayoon Ranjbar;Jie Wen;Aswin J. Mathews;Joseph A. O´Sullivan;Yuan-Chuan Tai
Author_Institution :
Electrical and Systems Engineering at Washington University in St. Louis, United States of America
fYear :
2014
Firstpage :
1
Lastpage :
5
Abstract :
Joint estimation of radioactivity distribution and concentration in thin objects using both positron (beta) and coincidence-gamma measurements is potentially more quantitative than to using either measurement alone. An imaging system that is capable of simultaneously measuring beta and gamma data was designed previously. This work includes studying the underlying physics and the intrinsic behavior of the phoswich detector to propose a novel forward model. Additionally an image reconstruction framework for joint estimation is developed. Validation experiment results show that a better quantitation in radioactivity concentration and distribution recovery can be achieved in contrast to separate reconstruction.
Keywords :
"Positrons","Image reconstruction","Imaging","Detectors","Plastics","Extraterrestrial measurements","Data models"
Publisher :
ieee
Conference_Titel :
Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2014 IEEE
Type :
conf
DOI :
10.1109/NSSMIC.2014.7430973
Filename :
7430973
Link To Document :
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