Research On Critical Technologies Of Virtual Surgery Training System Based On Neurosurgery

As one of the most technically demanding medical professions,neurosurgery requires neurosurgeons to have a high level of theoretical knowledge and have superhigh operating skills to ensure that any unnecessary mistakes are reduced because any mistakes will cause serious s consequence.At present,neurosurgeons mainly rely on clinical and autopsy in hospitals to improve their surgical skills.With the rapid expansion of medical schools in our country,the lack of sources of corpses,the low efficiency of surgical training,and the high cost of a series of problems have become more prominent,and the surgical training of neurosurgeons cannot be guaranteed.The rapid development of virtual surgery provides surgeons with a more efficient training method.At the same time,virtual surgery is non-invasive and repeatable,which provides a solution to the high training costs of surgeons.This thesis starts from neurosurgery training and aims to solve the problems of high cost and low efficiency of surgical training.Aiming at the key technical problems in virtual surgery,a virtual surgery simulator for brain tumor surgery training was developed.Through the collection and analysis of experimental data,the training module in the surgery simulator was systematically evaluated.The main contents of the paper are as follows:(1)The key technologies of virtual surgery were researched.The related algorithms of surface rendering and volume rendering for 3D reconstruction of medical images were discussed in depth;algorithms related to deformation and cutting of soft tissue were studied,especially the algorithms of position based dynamic and extended position based dynamic;grid voxelization algorithm was researched and the use of voxelization modeling and simulation of craniotomy in brain tumor surgery was proposed.(2)The basic module of brain tumor surgery training was designed.The volume rendering module and the small object transfer training module were implemented using Unity3D;based on the extended position dynamics algorithm,the skin deformation simulation and cutting training module was realized;based on voxelization,the drilling training module was implemented.(3)The basic training module was systematically evaluated by subjective evaluation and objective evaluation.In terms of subjective evaluation,the realism score of the surgical simulator was 3.65±0.01 points,the realism of surgical instruments was3.81±0.01 points,the realism of touch was 3.75±0.01 points,the surgical environment score was 3.60±0.01 points,and the overall effect score was 3.63±0.01,and the difficulty score of the whole training was 3.15±0.01 points;in terms of objective evaluation,the entropy method was used to process the collected training trajectories,training angles,training time,number of triggers,number of successes,and failures of24 trainers,and draw a learning curve.By analyzing the trend of the learning curve,the positive effect of the basic training module on improving the surgical skills of neurosurgeons was verified.