Performance analysis of an improved 3D PET Monte Carlo simulation and scatter correction

2002 ◽  
Author(s):  
C.H. Holdworth ◽  
C.S. Levin ◽  
M. Janecek ◽  
M. Dahlbom ◽  
E.J. Hoffman
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Performance Analysis ◽  
Scatter Correction ◽  
3D Pet

Performance analysis of an improved 3-D PET Monte Carlo simulation and scatter correction

2002 ◽  
Vol 49 (1) ◽  
pp. 83-89 ◽  
Author(s):  
C.H. Holdsworth ◽  
C.S. Levin ◽  
M. Janecek ◽  
M. Dahlbom ◽  
E.J. Hoffman
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Performance Analysis ◽  
Scatter Correction

Monte Carlo simulation and scatter correction of the GE Advance PET scanner with SimSET and Geant4

2005 ◽  
Vol 50 (20) ◽  
pp. 4823-4840 ◽  
Author(s):  
Olivier Barret ◽  
T Adrian Carpenter ◽  
John C Clark ◽  
Richard E Ansorge ◽  
Tim D Fryer
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Scatter Correction

Optimal importance sampling for the Laplace transform of exponential Brownian functionals

2016 ◽  
Vol 53 (2) ◽  
pp. 531-542 ◽  
Author(s):  
Je Guk Kim
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Performance Analysis ◽  
Laplace Transform ◽  
Importance Sampling ◽  
Pricing Model ◽  
Asymptotically Optimal ◽  
Closed Form Solutions ◽  
The Laplace Transform ◽  
Exponential Brownian Functionals

Abstract We present an asymptotically optimal importance sampling for Monte Carlo simulation of the Laplace transform of exponential Brownian functionals which plays a prominent role in many disciplines. To this end we utilize the theory of large deviations to reduce finding an asymptotically optimal importance sampling measure to solving a calculus of variations problem. Closed-form solutions are obtained. In addition we also present a path to the test of regularity of optimal drift which is an issue in implementing the proposed method. The performance analysis of the method is provided through the Dothan bond pricing model.

Influences of 3D PET scanner components on increased scatter evaluated by a Monte Carlo simulation

2017 ◽  
Vol 62 (10) ◽  
pp. 4017-4030 ◽  
Author(s):  
Yoshiyuki Hirano ◽  
Kazuhiro Koshino ◽  
Hidehiro Iida
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
3D Pet
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