SU-F-J-200: An Improved Method for Event Selection in Compton Camera Imaging for Particle Therapy

2016 ◽  
Vol 43 (6Part12) ◽  
pp. 3454-3454
Author(s):  
D Mackin ◽  
S Beddar ◽  
J Polf ◽  
S Peterson ◽  
E Draeger
Author(s):  
Masanori Ohno ◽  
Yasushi Fukazawa ◽  
Tsunefumi Mizuno ◽  
Hiromitsu Takahashi ◽  
Yasuyuki Tanaka ◽  
...  

2020 ◽  
Vol 4 (2) ◽  
pp. 233-242
Author(s):  
Nadja Kohlhase ◽  
Tilman Wegener ◽  
Moritz Schaar ◽  
Andreas Bolke ◽  
Ane Etxebeste ◽  
...  

2017 ◽  
Vol 12 (07) ◽  
pp. P07015-P07015 ◽  
Author(s):  
T. Taya ◽  
J. Kataoka ◽  
A. Kishimoto ◽  
L. Tagawa ◽  
S. Mochizuki ◽  
...  

2020 ◽  
Vol 65 (5) ◽  
pp. 055004
Author(s):  
A Etxebeste ◽  
D Dauvergne ◽  
M Fontana ◽  
J M Létang ◽  
G Llosá ◽  
...  

2021 ◽  
Vol 31.2 (149) ◽  
pp. 101-107

Compton Camera is a imaging technique that uses the principle of Compton scattering interaction to reproduce the distribution image of the radiation source. Compton Camera is a 3-D imaging technique, which has a high sensitivity, wide viewing angle and a range of shooting energy that is much higher than the transmissive imaging technique. In addition, the Compton Camera imaging technique does not use a mechanical collimation system, so it is compact in size, suitable for mobile applications, security control, radiation source detection and medical applications. In this paper, the authors built an image reconstruction algorithm for Compton Camera imaging equipment using data from Monte Carlo simulation. The image quality and the parameters of the algorithm will be evaluated in detail to determine the practical applicability.


PLoS ONE ◽  
2018 ◽  
Vol 13 (12) ◽  
pp. e0208909
Author(s):  
Yuichi Hatsukawa ◽  
Takehito Hayakawa ◽  
Kazuaki Tsukada ◽  
Kazuyuki Hashimoto ◽  
Tetsuya Sato ◽  
...  

2017 ◽  
Vol 847 ◽  
pp. 012045
Author(s):  
D Mackin ◽  
E Draeger ◽  
S Peterson ◽  
J Polf ◽  
S Beddar

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