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Optimization of intravascular brachytherapy treatment planning in peripheral arteries

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Title: Optimization of intravascular brachytherapy treatment planning in peripheral arteries
Authors: Zhou, Zhengdong1,2, Haigron, Pascal3,4,5, Shu, Huazhong1,5, Yu, Wenxue1,5, Moisan, Cécile4,6,7, Manens, Jean-Pierre6, Lucas, Antoine4,6,7, Luo, Limin1,5
Source: Computerized Medical Imaging & Graphics. Sep2007, Vol. 31 Issue 6, p401-407. 7p.
Subjects: Arteries, Artificial implants, Diagnostic imaging, Mathematical optimization
Abstract: Abstract: This work deals with the treatment planning optimization for intravascular brachytherapy (IVB) in peripheral arteries. The objective is both to quantitatively study the validity of different hypotheses required for a reliable application of the treatment with current techniques, and to contribute to the definition and the specification of a new optimized procedure taking into account the actual patient''s vessel geometry. The detection of vascular luminal surface was performed by an image analysis process, i.e., virtual active navigation, applied to standard CT data. Dose distribution was calculated according to the formalism proposed and recommended by the AAPM in TG43 and TG60. A method combining simulated annealing and BFGS algorithms was applied to optimize the parameters associated with the dwell points such as their number, positions, and dwell times. Dose-surface histogram (DSH) was used to evaluate the dose distribution results. Four levels of accuracy in target surface description were tested. The application of this optimization method to four different CT data sets including patient data, phantom and animal models showed that the treatment plan can be improved when the actual vessel geometry has been taken into account. [Copyright &y& Elsevier]
Copyright of Computerized Medical Imaging & Graphics is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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Header DbId: egs
DbLabel: Engineering Source
An: 25748515
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Optimization of intravascular brachytherapy treatment planning in peripheral arteries
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  Data: <searchLink fieldCode="JN" term="%22Computerized+Medical+Imaging+%26+Graphics%22">Computerized Medical Imaging & Graphics</searchLink>. Sep2007, Vol. 31 Issue 6, p401-407. 7p.
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  Data: <searchLink fieldCode="DE" term="%22Arteries%22">Arteries</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+implants%22">Artificial implants</searchLink><br /><searchLink fieldCode="DE" term="%22Diagnostic+imaging%22">Diagnostic imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+optimization%22">Mathematical optimization</searchLink>
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  Data: Abstract: This work deals with the treatment planning optimization for intravascular brachytherapy (IVB) in peripheral arteries. The objective is both to quantitatively study the validity of different hypotheses required for a reliable application of the treatment with current techniques, and to contribute to the definition and the specification of a new optimized procedure taking into account the actual patient''s vessel geometry. The detection of vascular luminal surface was performed by an image analysis process, i.e., virtual active navigation, applied to standard CT data. Dose distribution was calculated according to the formalism proposed and recommended by the AAPM in TG43 and TG60. A method combining simulated annealing and BFGS algorithms was applied to optimize the parameters associated with the dwell points such as their number, positions, and dwell times. Dose-surface histogram (DSH) was used to evaluate the dose distribution results. Four levels of accuracy in target surface description were tested. The application of this optimization method to four different CT data sets including patient data, phantom and animal models showed that the treatment plan can be improved when the actual vessel geometry has been taken into account. [Copyright &y& Elsevier]
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  Data: <i>Copyright of Computerized Medical Imaging & Graphics is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1016/j.compmedimag.2007.03.001
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              Text: Sep2007
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