The application relates to the technical field of medical devices and computer-aided surgical navigation, and discloses a virtual positioning CT-guided
lung biopsy method, which utilizes real-time acquired
body surface point cloud data to drive a
biomechanics model, deduces a
displacement field of
lung internal grid nodes, and generates a virtual
lung model which changes with
respiratory motion. Through a
fiber grating sensing array embedded in a puncture needle, the three-dimensional shape of the needle body is solved in real time, and an
axial force strain is separated. The
system monitors the first derivative characteristics of the strain, and when a mechanical event representing penetration of an anatomical boundary is identified, a spatial
deviation vector of the physical coordinates of the needle tip and the virtual predicted coordinates is calculated. A
local space calibration field is constructed by using a
radial basis function, the virtual lung model is non-rigidly corrected based on the
deviation vector, and a dynamic navigation image is generated. The application improves the positioning accuracy of lung puncture navigation by combining
body surface deduction and puncture mechanical feedback correction
model prediction error without increasing the
radiation dose.