Real-time pose capture-based surgery simulation system, method and graph rendering module

Abstract

The invention discloses a real-time pose capture-based surgery simulation system, a real-time pose capture-based surgery simulation method and a graph rendering module. A surgical instrument of the system is connected with a physical model and a pose capture system respectively, the output of the pose capture system is connected with a computer, and the computer is connected with a display. The method comprises the following steps: reading in and storing new pose information of a collision model of the surgical instrument; comparing the pose information with the previous read-in pose of the collision model of the surgical instrument, and judging whether change exists, if so, entering the next stage, otherwise, returning to the first stage; judging whether the surgical instrument is contacted with the physical model, if so, recording the point and time of collision with the physical model, otherwise, returning to the first stage; and replacing the collision model of the surgical instrument. The module performs a rendering process, an application process and scene graph display in turn; the rendering process has a surgical instrument setting part and a physical model setting part; and the application process comprises selection of the surgical instrument and the determination of a human physique. The method acquires the pose information of the surgical instrument in space motion, feeds back the pose information to a virtual environment in time, and has the characteristics of high precision and high response.

Description

technical field [0001] The invention relates to a virtual operation simulation system. In particular, it relates to an operation simulation system and method based on real-time pose capture and a graphics rendering module for medical teaching and practical training exercises. Background technique [0002] The advancement of modern science and technology, especially the development and widespread application of computer technology, has brought new opportunities for the field of medical skills training. In traditional medical skills training, doctors have to go through a long period of systematic study and training to master it, usually on cadavers and live animals. This traditional method has many disadvantages and does not conform to international humanitarian practice. On the one hand, when training on cadavers, because the cadavers have undergone embalming treatment, the tissues and organs of the cadavers have changes in tissue structure and position, and doctors cannot ...

AI Technical Summary

Problems solved by technology

On the one hand, when training on cadavers, because the cadavers have undergone embalming treatment, the tissues and organs of the cadavers have changes in tissue structure and position, and doctors cannot obtain the patient's language or body responses; The human body is very different, and doctors cannot get good training; on the other hand, most of the corpses or living bodies in traditional training can only be used once and cannot be reused, and the training cost is very high

[0003] At present, VIV from 3D Immersion and PHANTOM from Sensible are widely used in medical training. The force feedback systems of these companies are expensive, complex in structure, difficult to maintain, and are quite different from the actual surgical process in operation, so it is difficult to Achieve training effect

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