The invention discloses an intelligent auxiliary method for
autologous bone transplantation, which comprises the following steps: constructing a three-dimensional
jaw bone model, a three-dimensional tooth model and a three-dimensional defect area model based on CBCT (
cone beam computed tomography) image data of a target object; according to the three-dimensional defect area model, obtaining defect area three-dimensional form data, inputting the defect area three-dimensional form data into the trained bone increment prediction model, and outputting to-be-supplemented
autologous bone block design parameters; according to the design parameters of the to-be-supplemented
bone block, in combination with the three-dimensional tooth model, determining a bone taking position of the to-be-supplemented
bone block in the three-dimensional
jaw bone model, and automatically marking the bone taking position so as to plan a
bone block cutting path; according to the bone block
cutting path, a predicted
cutting force is obtained by combining a
cutting force model; planning the motion track of the mechanical arm according to the predicted
cutting force to realize auxiliary cutting of the
autogenous bone block; in the cutting process, the actual
cutting force is monitored in real time, and the movement track of the mechanical arm is dynamically adjusted according to the actual cutting force. According to the method, the
preoperative planning is optimized, the operation precision in the operation is improved, and the operation risk is reduced.