A Probability Approach to the Study on Uncertainty Effects on Gamma Index Evaluations in Radiation Therapy
Two datasets of points of known spatial positions and an associated absorbed dose value are often compared for quality assurance purposes in External Beam Radiation Therapy (EBRT). Some problems usually arise regarding the pass fail criterion to accept both datasets as close enough for practical pur...
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Series: | Computational and Mathematical Methods in Medicine |
Online Access: | http://dx.doi.org/10.1155/2011/861869 |
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doaj-7c1df78d0eca458a85570239b4b859e62020-11-24T22:15:09ZengHindawi LimitedComputational and Mathematical Methods in Medicine1748-670X1748-67182011-01-01201110.1155/2011/861869861869A Probability Approach to the Study on Uncertainty Effects on Gamma Index Evaluations in Radiation TherapyFrancisco Cutanda Henríquez0Silvia Vargas Castrillón1Servicio de Medicina Nuclear, Hospital General Universitario Gregorio Marañón, Calle Doctor Esquerdo, 46, 28007 Madrid, SpainLaboratorio de Metrología de Radiaciones Ionizantes, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, Avenida Complutense, 22, 28040 Madrid, SpainTwo datasets of points of known spatial positions and an associated absorbed dose value are often compared for quality assurance purposes in External Beam Radiation Therapy (EBRT). Some problems usually arise regarding the pass fail criterion to accept both datasets as close enough for practical purposes. Instances of this kind of comparisons are fluence or dose checks for intensity modulated radiation therapy, modelling of a treatment unit in a treatment planning system, and so forth. The gamma index is a figure of merit that can be obtained from both datasets; it is widely used, as well as other indices, as part of a comparison procedure. However, it is recognized that false negatives may take place (there are acceptable cases where a certain number of points do not pass the test) due in part to computation and experimental uncertainty. This work utilizes mathematical methods to analyse comparisons, so that uncertainty can be taken into account. Therefore, false rejections due to uncertainty do not take place and there is no need to expand tolerances to take uncertainty into account. The methods provided are based on the rules of uncertainty propagation and help obtain rigorous pass/fail criteria, based on experimental information.http://dx.doi.org/10.1155/2011/861869 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Francisco Cutanda Henríquez Silvia Vargas Castrillón |
spellingShingle |
Francisco Cutanda Henríquez Silvia Vargas Castrillón A Probability Approach to the Study on Uncertainty Effects on Gamma Index Evaluations in Radiation Therapy Computational and Mathematical Methods in Medicine |
author_facet |
Francisco Cutanda Henríquez Silvia Vargas Castrillón |
author_sort |
Francisco Cutanda Henríquez |
title |
A Probability Approach to the Study on Uncertainty Effects on Gamma Index Evaluations in Radiation Therapy |
title_short |
A Probability Approach to the Study on Uncertainty Effects on Gamma Index Evaluations in Radiation Therapy |
title_full |
A Probability Approach to the Study on Uncertainty Effects on Gamma Index Evaluations in Radiation Therapy |
title_fullStr |
A Probability Approach to the Study on Uncertainty Effects on Gamma Index Evaluations in Radiation Therapy |
title_full_unstemmed |
A Probability Approach to the Study on Uncertainty Effects on Gamma Index Evaluations in Radiation Therapy |
title_sort |
probability approach to the study on uncertainty effects on gamma index evaluations in radiation therapy |
publisher |
Hindawi Limited |
series |
Computational and Mathematical Methods in Medicine |
issn |
1748-670X 1748-6718 |
publishDate |
2011-01-01 |
description |
Two datasets of points of known spatial positions and an associated absorbed dose value are often compared for quality assurance purposes in External Beam Radiation Therapy (EBRT). Some problems usually arise regarding the pass fail criterion to accept both datasets as close enough for practical purposes. Instances of this kind of comparisons are fluence or dose checks for intensity modulated radiation therapy, modelling of a treatment unit in a treatment planning system, and so forth. The gamma index is a figure of merit that can be obtained from both datasets; it is widely used, as well as other indices, as part of a comparison procedure. However, it is recognized that false negatives may take place (there are acceptable cases where a certain number of points do not pass the test) due in part to
computation and experimental uncertainty. This work utilizes mathematical methods to analyse comparisons, so that uncertainty can be taken into account. Therefore, false rejections due to uncertainty do not take place and there is no need to expand tolerances to take uncertainty into account. The methods provided are based on the rules of uncertainty propagation and help obtain rigorous pass/fail criteria, based on experimental information. |
url |
http://dx.doi.org/10.1155/2011/861869 |
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