The invention belongs to the technical field of radiotherapy
radiation dose calculation, and relates to a
radiotherapy dose verification method based on GPU parallel Monte Carlo
dose calculation and
machine learning. The method comprises the following steps: (1)
data input: inputting an organ and endangered organ delineation CT image and a DVH image of a target area of a patient,
material density,material information, source parameters, geometric information of a die body and the like; (2) particle input
simulation: employing a
CUDA framework of the NVIDIA company, employing a GPU of a display card for parallel calculation, employing a Monte Carlo particle transportation principle for particle transportation, and obtaining
dose simulation distribution; (3) outputting a
simulation result obtained in the step (2) through Monte Carlo of the parallel GPU; and (4) establishing a
machine learning model by using the parameters, and verifying an output result in the step (3). Compared with the prior art, the method has the following beneficial effects that the Monte Carlo calculation speed is greatly improved through parallel GPU hardware, the Monte Carlo calculation result is verified through
machine learning, the problems of long time consumption and high manpower and material resource cost in
dose verification work of
patient treatment in existing radiotherapy are solved, the doseverification efficiency can be improved, and the
verification cost is reduced.