Study On The Parallel External Fixator System Based On X-ray

With the rapid development of artificial intelligence,the medical service robot is gradually become a research hotspot.The application of medical robots change the states of practitioners shortage and reduces the workload of the doctor.Meanwhile,the intelligent service robots create an new research directions in the medical field and the robot field with great development potential and practical application value.Surgical treatment with the help of the radiographs is one of the key technologies of medical robotics.This technology can be realized by establishing the mapping relationship between the image coordinate system and the service robot coordinate system.In the paper,the digital measurement algorithm based on the radiographs is studied with the support of the National Research Center for Rehabilitation Technical Aids.On the other hand,this paper also study the algorithmic flaws of the six-degree-freedom(6-DOF)external fixator in the actual clinical application process,and a new correction algorithm is proposed based on this.Moreover,this paper integrate the databases technology,Canvas technology and VR(virtual reality)technology to achieve digital measurement,optimization of electronic prescription,the storage of case information and deformity three-dimensional pose simulation.The above functions are implemented by building a website.It is very difficult to measure radiographs by using the traditional measurement method.At same time,there are also many drawbacks when using the method.For example,the accuracy of the measurement is limited by the measurement tools;The results of the measurement mainly rely on the doctor’s clinical experience;Most of the doctors need special training for completing the task.To solve these problems,the pose measurement algorithm based on the radiographs is proposed.First,a local coordinate system and a global coordinate system are established in the X-ray image.Next,the measured data in the local coordinate system is transformed into the global coordinate system,and the pixel coordinate is converted into the physical coordinate.Finally,according to the scale the achieved parameters are converted into the actual parameters to complete the digital measurement.The digital measurement involves human-computer interaction,where the automatic identification of the marker points are the key to complete the measure.The paper uses the canvas technology to achieve automatic identification of the marker points that is drawn by users on the X-ray images.The digital measurement of the image reflects the relentless pursuit of the correction accuracy.The optimization of the electronic prescription highlights the morden medical concept of people-oriented.In the practical clinical application,the parallel external fixator has defects of uneven drawing rate,unbearable pain,and uncontrollable movement trajectory.To solve these problems,this paper proposes one new kind of deformity correction algorithm to calculate the prescription based on the trajectory of parallel robots.The ant algorithm is utilized to optimize the achieved prescription.Through the clinical trials,the effectiveness of algorithm optimization is accurately evaluated.Experiment results show that the application of computer-aided parallel external fixator for the complex deformity correction can reach satisfactory results,shorten the treatment cycle and reduce the occurrence of complications(e.g,pain and cartilage impact).The deformity of each patient is corrected.Their symptoms and appearance are improved significantly,which make great sense to the improvement of the treatment in a clinical application.