Sensitivity assessment of wide Axial Field of View PET systems via Monte Carlo simulations of NEMA-like measurements

2007 ◽  
Vol 580 (1) ◽  
pp. 485-488 ◽  
Author(s):  
M. Couceiro ◽  
N.C. Ferreira ◽  
P. Fonte
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Field Of View ◽  
Axial Field ◽  
Sensitivity Assessment

Investigation of scatter from out of the field of view and multiple scatter in PET using Monte Carlo simulations

2011 ◽  
Vol 35 (12) ◽  
pp. 1166-1171
Author(s):  
Ting Ye ◽  
Pei Chai ◽  
Juan Gao ◽  
Ming-Kai Yun ◽  
Shuang-Quan Liu ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Field Of View ◽  
Multiple Scatter

Physical performance of a long axial field‐of‐view PET scanner prototype with sparse rings configuration: A Monte Carlo simulation study

2020 ◽  
Vol 47 (4) ◽  
pp. 1949-1957 ◽  
Author(s):  
Sara A. Zein ◽  
Nicolas A. Karakatsanis ◽  
Mohammad Issa ◽  
Amin A. Haj‐Ali ◽  
Sadek A. Nehmeh
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Physical Performance ◽  
Simulation Study ◽  
Field Of View ◽  
Axial Field ◽  
Monte Carlo Simulation Study

scholarly journals Counting figures in planar random configurations

1985 ◽  
Vol 22 (01) ◽  
pp. 68-81 ◽  
Author(s):  
A. M. Kellerer
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Poisson Process ◽  
Recent Result ◽  
Field Of View ◽  
Fixed Field ◽  
Area And Perimeter ◽  
Standard Deviations

Random configurations are considered that are generated by a Poisson process of figures in the plane, and a recent result is used to derive formulae for the estimation of the number of figures, and their mean area and perimeter. The formulae require merely the determination of the area, the perimeter, and the Euler–Poincaré characteristic of the random configurations in a fixed field of view. There are no similar formulae for the standard deviations of the estimates; their magnitudes in typical cases are therefore assessed by Monte Carlo simulations.

scholarly journals Application of multiple-scattering polarization lidar for the evaluation of space-borne lidar algorithms

2018 ◽  
Vol 176 ◽  
pp. 02014
Author(s):  
Hajime Okamoto ◽  
Kaori Sato ◽  
Shuichiro Katagiri ◽  
Masahiro Fujikawa ◽  
Tomoaki Nishizawa ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Multiple Scattering ◽  
System Performance ◽  
Field Of View ◽  
Depolarization Ratio ◽  
Radar Observations ◽  
Cloud Radar ◽  
Enhanced Backscattering

Multi-field of view multiple-scattering polarization lidar (MFMSPL) has been developed to measure enhanced backscattering and depolarization ratio from optically thick clouds. Collocated cloud radar observations and Monte Carlo simulations supported the system performance such as cloud detectability and values of depolarization ratio. The system is used to evaluate/improve algorithms for space-borne lidar such as CALIOP on CALIPSO and ATLID on EarthCARE.

scholarly journals Counting figures in planar random configurations

1985 ◽  
Vol 22 (1) ◽  
pp. 68-81 ◽  
Author(s):  
A. M. Kellerer
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Poisson Process ◽  
Recent Result ◽  
Field Of View ◽  
Fixed Field ◽  
Area And Perimeter ◽  
Standard Deviations

Random configurations are considered that are generated by a Poisson process of figures in the plane, and a recent result is used to derive formulae for the estimation of the number of figures, and their mean area and perimeter. The formulae require merely the determination of the area, the perimeter, and the Euler–Poincaré characteristic of the random configurations in a fixed field of view. There are no similar formulae for the standard deviations of the estimates; their magnitudes in typical cases are therefore assessed by Monte Carlo simulations.

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