A medical image-based graphical platform-Features, applications and relevance for brachytherapy
| Autor: | Gabriel P. Fonseca, Camila P. Sales, Frank Verhaegen, Murillo Bellezzo, Hélio Yoriyaz, Guillaume Landry, Brigitte Reniers, Paula Cristina Guimarães Antunes, Shane A White, Eduardo Welteman |
|---|---|
| Přispěvatelé: | Radiotherapie, RS: GROW - Oncology, RS: GROW - R3 - Innovative Cancer Diagnostics & Therapy |
| Jazyk: | angličtina |
| Rok vydání: | 2014 |
| Předmět: |
medicine.medical_specialty
medicine.medical_treatment Brachytherapy Monte Carlo method Finite Element Analysis computer.software_genre User-Computer Interface Software Voxel medicine Humans Model-based dose calculation algorithms Radiology Nuclear Medicine and imaging Medical physics Radiation treatment planning Monte Carlo Graphical user interface business.industry Phantoms Imaging Radiotherapy Planning Computer-Assisted Radiotherapy Dosage Solver Boltzmann equation User interface Oncology Anisotropy business computer Algorithm Monte Carlo Method Algorithms |
| Zdroj: | Brachytherapy, 13(6), 632-639. Elsevier Science |
| ISSN: | 1538-4721 |
| Popis: | Purpose Brachytherapy dose calculation is commonly performed using the Task Group-No 43 Report-Updated protocol (TG-43U1) formalism. Recently, a more accurate approach has been proposed that can handle tissue composition, tissue density, body shape, applicator geometry, and dose reporting either in media or water. Some model-based dose calculation algorithms are based on Monte Carlo (MC) simulations. This work presents a software platform capable of processing medical images and treatment plans, and preparing the required input data for MC simulations. Methods and Materials The A Medical Image-based Graphical platfOrm—Brachytherapy module (AMIGOBrachy) is a user interface, coupled to the MCNP6 MC code, for absorbed dose calculations. The AMIGOBrachy was first validated in water for a high-dose-rate 192Ir source. Next, dose distributions were validated in uniform phantoms consisting of different materials. Finally, dose distributions were obtained in patient geometries. Results were compared against a treatment planning system including a linear Boltzmann transport equation (LBTE) solver capable of handling nonwater heterogeneities. Results The TG-43U1 source parameters are in good agreement with literature with more than 90% of anisotropy values within 1%. No significant dependence on the tissue composition was observed comparing MC results against an LBTE solver. Clinical cases showed differences up to 25%, when comparing MC results against TG-43U1. About 92% of the voxels exhibited dose differences lower than 2% when comparing MC results against an LBTE solver. Conclusion The AMIGOBrachy can improve the accuracy of the TG-43U1 dose calculation by using a more accurate MC dose calculation algorithm. The AMIGOBrachy can be incorporated in clinical practice via a user-friendly graphical interface. |
| Databáze: | OpenAIRE |
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