The invention discloses a real-time positioning method for a
tumor target region and a gold
label implant, and belongs to the technical field of tumor localization, and the method specifically comprises the following steps: implanting a gold
label in a
tumor region, constructing a gold
label-tumor dynamic model through CT, and obtaining a
respiratory phase feature vector; realizing space matching of the two-dimensional projection and the three-dimensional model by using an improved
hybrid registration
algorithm, and obtaining a tumor compound displacement vector; establishing a
respiration-displacement correlation model through
time sequence alignment, generating a tumor movement map containing a real-time position and a predicted trajectory, and updating the reference coordinate
system; establishing a rigid safety boundary based on a gold label, analyzing
soft tissue texture and a prediction trajectory in combination with a
convolutional neural network to generate an elastic treatment boundary, and dynamically adjusting a
dose weight of a non-label area; and finally, submillimeter-level dynamic tracking is executed through a multi-leaf
collimator. The problems of tumor motion uncertainty and individual deformation difference are solved, and the target
area coverage precision and the
dose distribution reasonability are improved.