Back to Search Start Over

Monte Carlo reference data sets for imaging research: Executive summary of the report of AAPM Research Committee Task Group 195

Authors :
Sechopoulos, I.
Ali, E.S.
Badal, A.
Badano, A.
Boone, J.M.
Kyprianou, I.S.
Mainegra-Hing, E.
McMillan, K.L.
McNitt-Gray, M.F.
Rogers, D.W.
Samei, E.
Turner, A.C.
Sechopoulos, I.
Ali, E.S.
Badal, A.
Badano, A.
Boone, J.M.
Kyprianou, I.S.
Mainegra-Hing, E.
McMillan, K.L.
McNitt-Gray, M.F.
Rogers, D.W.
Samei, E.
Turner, A.C.
Source :
Medical Physics; 5679; 91; 0094-2405; 10; vol. 42; ~Medical Physics~5679~91~~~0094-2405~10~42~~
Publication Year :
2015

Abstract

Item does not contain fulltext<br />The use of Monte Carlo simulations in diagnostic medical imaging research is widespread due to its flexibility and ability to estimate quantities that are challenging to measure empirically. However, any new Monte Carlo simulation code needs to be validated before it can be used reliably. The type and degree of validation required depends on the goals of the research project, but, typically, such validation involves either comparison of simulation results to physical measurements or to previously published results obtained with established Monte Carlo codes. The former is complicated due to nuances of experimental conditions and uncertainty, while the latter is challenging due to typical graphical presentation and lack of simulation details in previous publications. In addition, entering the field of Monte Carlo simulations in general involves a steep learning curve. It is not a simple task to learn how to program and interpret a Monte Carlo simulation, even when using one of the publicly available code packages. This Task Group report provides a common reference for benchmarking Monte Carlo simulations across a range of Monte Carlo codes and simulation scenarios. In the report, all simulation conditions are provided for six different Monte Carlo simulation cases that involve common x-ray based imaging research areas. The results obtained for the six cases using four publicly available Monte Carlo software packages are included in tabular form. In addition to a full description of all simulation conditions and results, a discussion and comparison of results among the Monte Carlo packages and the lessons learned during the compilation of these results are included. This abridged version of the report includes only an introductory description of the six cases and a brief example of the results of one of the cases. This work provides an investigator the necessary information to benchmark his/her Monte Carlo simulation software against the reference cases included here

Details

Database :
OAIster
Journal :
Medical Physics; 5679; 91; 0094-2405; 10; vol. 42; ~Medical Physics~5679~91~~~0094-2405~10~42~~
Publication Type :
Electronic Resource
Accession number :
edsoai.on1284055769
Document Type :
Electronic Resource