Please use this identifier to cite or link to this item:
https://hdl.handle.net/10316/114937
Title: | An automated treatment planning strategy for highly noncoplanar radiotherapy arc trajectories | Authors: | Carrasqueira, P. Rocha, H. Dias, J. M. Ventura, T. Ferreira, B. C. Lopes, M. C. |
Keywords: | radiation therapy; noncoplanar arc therapy; optimization; automation | Issue Date: | 2021 | Publisher: | Wiley-Blackwell | Project: | POCI-01-0145-FEDER-028030 UIDB/05037/2020 UIDB/00308/2020 |
Serial title, monograph or event: | International Transactions in Operational Research | Volume: | 30 | Issue: | 1 | Abstract: | Radiation therapy is a technology-driven cancer treatment modality that has experienced significant advances over the last decades, due to multidisciplinary contributions that include engineering and computing. Recent technological developments allow the use of noncoplanar volumetric modulated arc therapy (VMAT), one of the most recent photon treatment techniques, in clinical practice. In this work, an automated noncoplanar arc trajectory optimization framework designed in two modular phases is presented. First, a noncoplanar beam angle optimization algorithm is used to obtain a set of noncoplanar irradiation directions. Then, anchored in these directions, an optimization strategy is proposed to compute an optimal arc trajectory. The computational experiments considered a pool of twelve difficult head-and-neck tumor cases. It was possible to observe that, for some of these cases, the optimized noncoplanar arc trajectories led to significant treatment planning quality improvements, when compared with coplanar VMAT treatment plans. Although these experiments were done in a research environment treatment planning software (matRad), the conclusions can be of interest for a clinical setting: automated procedures can simplify the current treatment workflow, produce high-quality treatment plans, making better use of human resources and allowing for unbiased comparisons between different treatment techniques. | URI: | https://hdl.handle.net/10316/114937 | ISSN: | 0969-6016 1475-3995 |
DOI: | 10.1111/itor.12953 | Rights: | openAccess |
Appears in Collections: | FEUC- Artigos em Revistas Internacionais I&D CeBER - Artigos em Revistas Internacionais I&D INESCC - Artigos em Revistas Internacionais |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Int Trans Operational Res - 2021 - Carrasqueira - An automated treatment planning strategy for highly noncoplanar.pdf | 1.67 MB | Adobe PDF | View/Open |
Page view(s)
76
checked on Oct 16, 2024
Download(s)
11
checked on Oct 16, 2024
Google ScholarTM
Check
Altmetric
Altmetric
This item is licensed under a Creative Commons License