Neurosurgery control system and method based on virtual reality

Abstract

The invention belongs to the technical field of medical virtual reality, and discloses a neurosurgery control system and method based on virtual reality. The system comprises an image acquisition module, an action data acquisition module, a data import module, a main control module, a three-dimensional construction module, an operation recognition module, an instruction feedback module, a trainingmodule, a data storage module and a display module. The system overcomes the shortcoming that the transmission data quantity cannot be reduced effectively when the screen image change region is rightlocated at a plurality of rectangular block critical points in a fixed block image transmission algorithm through the three-dimensional construction module. At the same time, trainees can use and operate the system conveniently through the training module. The trainees obtain the near-real immersion feeling by means of complete simulation of the real environment. The real-time judgment algorithmis adopted. Each time a particle is implanted, the position is judged in real time, so that the trainees can correct errors and improve the particle implantation level.

Description

technical field [0001] The invention belongs to the technical field of medical virtual reality, in particular to a neurosurgery control system and method based on virtual reality. Background technique [0002] In the peripheral nervous system, several nerve fibers form a nerve fiber bundle, which is surrounded by a perineurium (ie, epineurium) composed of several layers of squamous epithelioid cells. Several nerve fiber bundles gather to form a nerve. Each nerve fiber is surrounded by an endoneurium composed of loose connective tissue. Nerves connect the nerve centers, sensory organs, and effectors. Nerves composed of sensory afferent fibers are called sensory nerves; nerves composed of efferent fibers that transmit impulses to effectors are called motor nerves. Most nerves are composed of both sensory and motor fibers and are called mixed nerves. With the continuous development of science and technology and the in-depth study of neuroanatomy and physiology, the neurosur...

AI Technical Summary

Problems solved by technology

[0004] (1) The neuroanatomical atlas data collected in the existing virtual reality-based neurosurgery control is inaccurate, and it is easy to repeat the registration operation; at the same time, the color of the atlas is single, which cannot accurately display the affiliation of the results, which is not conducive to identification; and the existing The spline curve / surface does not interpolate the control vertices; it is not conducive to the accurate generation of image geometry; at the same time, it is not convenient for doctors to train, it is easy to send collisions, and the authenticity is poor

[0005] (2) When importing the brain model and operating room model data into the storage, the traditional algorithm is used, which reduces the import efficiency and prolongs the import time

[0006] (3) In the process of collecting patient image data information by medical imaging equipment, when denoising the patient image data information, the existing algorithm is used, resulting in blurred images and decreased spatial resolution, and cannot better highlight the edges of the image and details

[0007] (4) In the recognition of the doctor's operation action by the sensor, most of the individual gesture action signals are recognized, resulting in the difference and instability of the action signal, which reduces the real-time effectiveness of gesture recognition

Images