Prediction method and application of three-dimensional dose distribution in intensity-modulated radiotherapy planning
A three-dimensional dose and intensity-modulated radiotherapy technology, applied in the field of medical radiation therapy, can solve the problem of incomplete description of anatomical information
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Embodiment 1
[0063] In this example, the bladder dose prediction of prostate cancer patients was performed, and the VMAT plans of 14 prostate cancer patients were selected for model training.
[0064] First, the patient's anatomy is discretized into voxels with a resolution of 2.3438×2.3438×3mm.
[0065] Then, use MATLAB to extract the anatomical features and dose features of the patient's bladder, where the anatomical features include the volume of the PTV, the minimum distance from the bladder voxel to the PTV boundary, the minimum distance from the bladder voxel to the rectal boundary, and the bladder voxel to the left femoral head boundary The minimum distance between the bladder voxel and the boundary of the right femoral head, and the minimum distance between the bladder voxel and the boundary of the urethral bulb. The number of models on a single patient is equal to the number of organs at risk plus the number of PTVs, that is, the number of organs at risk plus 1 . Figure 2 to Fig...
Embodiment 2
[0081] This embodiment is based on the prediction method of the three-dimensional dose distribution in the intensity-modulated radiotherapy plan described in the above embodiment, and provides a specific application method of the prediction method. The specific steps are:
[0082] Taking the bladder voxel as the unit, extract six anatomical features of the new patient's bladder voxel, including the volume of the PTV, the minimum distance between the voxel and the border of the PTV, the minimum distance between the voxel and the border of the rectum, and the distance between the voxel and the border of the left femoral head. The minimum distance, the minimum distance from the voxel to the boundary of the right femoral head, and the minimum distance from the voxel to the boundary of the urethral bulb;
[0083] Enter the anatomical features into the trained association model to obtain the predicted bladder dose feature values for new patients;
[0084] (C) With the dose value a...
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