The invention relates to an
irradiation plan optimization method based on novel sparse sampling, belongs to the technical field of
radiation irradiation dose optimization, and solves the problems that invalid
voxel data volume cannot be effectively simplified, the
processing data volume is large and the result is not accurate enough in the prior art. Receiving an initial
irradiation plan and generating a full
dose deposition matrix corresponding to each
radiation field; constructing a gradient
image based on the full
dose deposition matrix; performing dual-condition
voxel screening on the constructed gradient image to obtain a final sampling
voxel set, and constructing a sparse dose deposition matrix; and performing irradiation plan optimization and dose normalization on the sparse dose deposition matrix to obtain an optimized irradiation plan.