Abstract
A new hybrid imaging-treatment modality, the MRI-Linac, involves the irradiation of the patient in the presence of a strong magnetic field. This field acts on the charged particles, responsible for depositing dose, through the Lorentz force. These conditions require a dose calculation engine capable of taking into consideration the effect of the magnetic field on the dose distribution during the planning stage. Also in the case of a change in anatomy at the time of treatment, a fast online replanning tool is desirable. It is improbable that analytical solutions such as pencil beam calculations can be efficiently adapted for dose calculations within a magnetic field. Monte Carlo simulations have therefore been used for the computations but the calculation speed is generally too slow to allow online replanning. In this work, GPUMCD, a fast graphics processing unit (GPU)-based Monte Carlo dose calculation platform, was benchmarked with a new feature that allows dose calculations within a magnetic field. As a proof of concept, this new feature is validated against experimental measurements. GPUMCD was found to accurately reproduce experimental dose distributions according to a 2%-2 mm gamma analysis in two cases with large magnetic field-induced dose effects: a depth-dose phantom with an air cavity and a lateral-dose phantom surrounded by air. Furthermore, execution times of less than 15 s were achieved for one beam in a prostate case phantom for a 2% statistical uncertainty while less than 20 s were required for a seven-beam plan. These results indicate that GPUMCD is an interesting candidate, being fast and accurate, for dose calculations for the hybrid MRI-Linac modality.
Original language | English |
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Pages (from-to) | 5119-5129 |
Number of pages | 11 |
Journal | Physics in Medicine and Biology |
Volume | 56 |
Issue number | 16 |
DOIs | |
Publication status | Published - 21 Aug 2011 |
Externally published | Yes |
Keywords
- Computer Graphics
- Humans
- Magnetic Fields
- Male
- Monte Carlo Method
- Phantoms, Imaging
- Prostatic Neoplasms
- Radiation Dosage
- Radiotherapy Planning, Computer-Assisted
- Radiotherapy, Intensity-Modulated
- Reproducibility of Results
- Time Factors
- Journal Article
- Research Support, Non-U.S. Gov't