Fast dose calculation in magnetic fields with GPUMCD

被引:96
作者
Hissoiny, S. [1 ]
Raaijmakers, A. J. E. [2 ]
Ozell, B. [1 ]
Despres, P. [3 ,4 ]
Raaymakers, B. W. [2 ]
机构
[1] Ecole Polytech, Dept Genie Informat & Genie Logiciel, Montreal, PQ H3T 1J4, Canada
[2] Univ Med Ctr Utrecht, Dept Radiotherapy, NL-3584 CX Utrecht, Netherlands
[3] Univ Laval, Dept Phys, Quebec City, PQ G1K 7P4, Canada
[4] CHUQ, Dept Radiooncol, Quebec City, PQ, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
RADIOTHERAPY SYSTEMS; MRI SCANNER; ACCELERATOR; SIMULATION;
D O I
10.1088/0031-9155/56/16/003
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
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.
引用
收藏
页码:5119 / 5129
页数:11
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