TY - JOUR
T1 - Accurate modeling of event-by-event backprojection for a germanium semiconductor Compton camera for system response evaluation in the LM-ML-EM image reconstruction method
AU - Ida, Takahiro
AU - Motomura, Shinji
AU - Ueda, Masashi
AU - Watanabe, Yasuyoshi
AU - Enomoto, Shuichi
N1 - Funding Information:
This work was supported by the RIKEN Junior Research Associate Program. We would like to thank Dr. M. Hiromura of Daiichi University, College of Pharmaceutical Sciences, and Dr. Y. Kanayama of the RIKEN Center for Life Science Technologies for providing the imaging experiment of the tumor-bearing live mouse performed in Ref. 20. We also wish to acknowledge and thank Dr. T. Fukuchi of the RIKEN Center for Life Science Technologies for the valuable discussions.
PY - 2019/1
Y1 - 2019/1
N2 - We develop an image reconstruction method, considering the physical phenomenon in the measurement process of a Compton camera. The image quality is improved by applying an accurate error model of the Compton scattering angle. The angular error has two properties: an error distribution function specific to the detector material and the variation of its function parameters, depending on each measurement event. We incorporate these factors into the backprojection of the list-mode maximum-likelihood expectation-maximization method as the system response function. We apply our image reconstruction method to simulated data assumed to be measured by a Ge-semiconductor Compton camera GREI, and the imaging data of a tumor-bearing live mouse obtained using GREI. This method is evaluated by comparing an image with variable angular error with that having fixed angular error. The consideration of the variable angle estimation error improves the spatial resolution and reduces image roughness.
AB - We develop an image reconstruction method, considering the physical phenomenon in the measurement process of a Compton camera. The image quality is improved by applying an accurate error model of the Compton scattering angle. The angular error has two properties: an error distribution function specific to the detector material and the variation of its function parameters, depending on each measurement event. We incorporate these factors into the backprojection of the list-mode maximum-likelihood expectation-maximization method as the system response function. We apply our image reconstruction method to simulated data assumed to be measured by a Ge-semiconductor Compton camera GREI, and the imaging data of a tumor-bearing live mouse obtained using GREI. This method is evaluated by comparing an image with variable angular error with that having fixed angular error. The consideration of the variable angle estimation error improves the spatial resolution and reduces image roughness.
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U2 - 10.7567/1347-4065/aae8e9
DO - 10.7567/1347-4065/aae8e9
M3 - Article
AN - SCOPUS:85059851715
VL - 58
JO - Japanese Journal of Applied Physics, Part 1: Regular Papers & Short Notes
JF - Japanese Journal of Applied Physics, Part 1: Regular Papers & Short Notes
SN - 0021-4922
IS - 1
M1 - 016002
ER -