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Beam characterisation of the 1.5 T MRI-linac
S J Woodings1, J J Bluemink1, J H W de Vries1
1Department of Radiotherapy, University Medical Center Utrecht, Heidelberglaan 100, Utrecht 3584 CX, Netherlands.
Physics in Medicine and Biology
|March 10, 2018
Summary
This study characterized the Elekta 1.5 T MRI-linac 7 MV FFF radiation beam, a crucial step for clinical treatments. The beam was found to be suitable for clinical use after comprehensive characterization and performance verification.
Area of Science:
- Medical Physics
- Radiation Oncology
- Medical Imaging
Background:
- The integration of magnetic resonance imaging (MRI) with linear accelerators (linacs) offers advanced capabilities for radiation therapy.
- Comprehensive characterization of the radiation beam is a prerequisite for safe and effective clinical implementation of MRI-linacs.
Purpose of the Study:
- To perform a thorough characterization of the Elekta 1.5 T MRI-linac 7 MV FFF radiation beam.
- To verify machine performance and ensure compliance with clinical beam requirements.
- To provide essential data for treatment planning systems.
Main Methods:
- Beam characterization using Semiflex 3D, microDiamond, and Farmer-type detectors in water phantoms.
- Acquisition of data for various field sizes (1x1 cm² to 57x22 cm²).
- Development of new techniques to measure percentage depth dose (PDD) curves, including the electron return effect, and analysis of crossline profiles, penumbral width, and cryostat scatter.
Main Results:
- The Elekta 1.5 T MRI-linac 7 MV FFF beam was characterized for the first time, meeting IEC60976 requirements.
- Electron return effect exhibited a practical range of 1.2 ± 0.1 cm.
- Lorentz force caused crossline profile asymmetry (average shift +0.24 cm), and cryostat scatter contributed 1% dose at the isocenter for a 10x10 cm² field.
Conclusions:
- The characterized 1.5 T MRI-linac 7 MV FFF beam is suitable for clinical use.
- The study provided essential data, including cryostat transmission, for treatment planning.
- This characterization was a key step enabling the first clinical treatments delivered in May 2017.
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