9 research outputs found
Multicriteria optimization enables less experienced planners to efficiently produce high quality treatment plans in head and neck cancer radiotherapy
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Can knowledge-based DVH predictions be used for automated, individualized quality assurance of radiotherapy treatment plans?
Full text linkAn evaluation of two techniques for beam intensity modulation in patients irradiated for stage III non-small cell lung cancer
No full textAutomatisierte volumenmodulierte Arc-Therapieplanung für Ganzbecken-Prostatabestrahlung
No full textAutomated Radiotherapy Treatment Planning Using Fuzzy Inference Systems
Get PDFRadiotherapy is one of the treatments available for cancer patients, aiming to irradiate the tumor while preserving healthy structures. The planning of a treatment is a lengthy trial and error procedure, where treatment parameters are iteratively changed and the delivered dose is calculated to see whether it complies with the desired medical prescription. In this paper, a procedure based on fuzzy inference systems (FIS) for automated treatment planning is developed, allowing the calculation of high quality treatment plans without requiring human intervention. The procedure is structured in two different phases, incorporating the automatic selection of the best set of equidistant beam irradiation directions by an enumeration procedure. The developed method is extensively tested using ten head-and-neck cancer cases.info:eu-repo/semantics/publishedVersio
