A joint beta and coincidence-gamma data modeling and image reconstruction framework for plant leaf imaging

Homayoon Ranjbar, Jie Wen, Aswin J. Mathews, Joseph A. O'Sullivan, Yuan Chuan Tai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publication2014 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479960972
DOIs
StatePublished - Mar 10 2016
EventIEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2014 - Seattle, United States
Duration: Nov 8 2014Nov 15 2014

Publication series

Name2014 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2014

Conference

ConferenceIEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2014
CountryUnited States
CitySeattle
Period11/8/1411/15/14

Keywords

  • beta
  • coincidence-gamma
  • data modeling
  • joint image reconstruction
  • positron
  • positron escape fraction
  • simultaneous data acquisition

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    Ranjbar, H., Wen, J., Mathews, A. J., O'Sullivan, J. A., & Tai, Y. C. (2016). A joint beta and coincidence-gamma data modeling and image reconstruction framework for plant leaf imaging. In 2014 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2014 [7430973] (2014 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NSSMIC.2014.7430973