The present application relates to a
meningioma infiltration boundary resection strategy optimization method, which uses the stress and
strain response difference during intraoperative tissue traction and suction operation to mark the biomechanical abnormal area in space; constructs a mechanical residual atlas; extracts the local tissue compliance critical point as the physiological
landmark of the infiltration boundary; identifies the high adaptability channel in the three-dimensional tissue atlas; makes partition modeling for the structural impedance of different regions; constructs a boundary evolution stability hot area map, maps the boundary prediction result back to the current operation scene, and is used to judge whether the resection range needs to be expanded; after each tissue stripping or resection, the corresponding regional
tissue deformation rate,
blood supply flow rate and temperature
diffusion mode indicators are collected as the reflection of the intraoperative boundary stress response, which is used to evaluate whether the high-
risk area has been touched by the resection behavior; once the boundary
stress index exceeds the preset threshold, the
system freezes the path segment, calculates the alternative path, improves the accuracy of boundary identification, and reduces the damage to the functional area and the
recurrence risk.