scholarly journals Learning SPECT detector angular response function with neural network for accelerating Monte-Carlo simulations

2018 ◽  
Vol 63 (20) ◽  
pp. 205013
Author(s):  
D Sarrut ◽  
N Krah ◽  
J N Badel ◽  
J M Létang
Keyword(s):  
Neural Network ◽  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Response Function ◽  
Angular Response ◽  
Angular Response Function

Monte Carlo Simulation of Angular Response Function of Airborne Gamma Spectrometer

OALib ◽  
2020 ◽  
Vol 07 (08) ◽  
pp. 1-11
Author(s):  
Qianyin Wan ◽  
Yaohan Hu ◽  
Ruiyang Xu ◽  
Qiushi Liu
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Response Function ◽  
Gamma Spectrometer ◽  
Angular Response ◽  
Angular Response Function

scholarly journals Implementation of angular response function modeling in SPECT simulations with GATE

2010 ◽  
Vol 55 (9) ◽  
pp. N253-N266 ◽  
Author(s):  
P Descourt ◽  
T Carlier ◽  
Y Du ◽  
X Song ◽  
I Buvat ◽  
...  
Keyword(s):  
Response Function ◽  
Angular Response ◽  
Angular Response Function

Evaluation of virtual point detector, for HPGe spectrometers of different sizes, using Monte Carlo simulations, and artificial neural networks

2020 ◽  
Vol 17 (1) ◽  
pp. 15
Author(s):  
Sedigheh Sina ◽  
Zahra Molaeimanesh ◽  
Mehrnoosh Karimipoorfard ◽  
Zeinab Shafahi ◽  
Maryam Papie ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Pulse Height ◽  
Height Distribution ◽  
Hpge Detectors ◽  
Virtual Point ◽  
Artificial Neural ◽  
Point Detector

The virtual point detector concept is a useful concept in gamma ray spectroscopy. In this study, the virtual point detector, h0, was obtained for HPGe detectors of different sizes using MCNP5 Monte Carlo simulations. The HPGe detectors with different radii (rd), and height (hd), having Aluminum, or Carbon windows, were simulated. A point photon source emitting several gammas with certain energies was defined at distance x of the detectors. The pulse height distribution was scored using F8 tally. Finally, artificial neural network was used for predicting the h0 values for every value of hd, rd, and x. Because of the high simulation duration of MCNP code, a trained ANN is used to predict the value of h0 for each detector size. The results indicate that the Artificial Neural Network (ANN) can predict the virtual point detector good accuracy. 

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