Research On Dose Planning Of Prostate Seed Implantation Based On Image Enhancement

The brachytherapy technique is directed to the treatment of cancer by implanting radioactive particles into tumor cells.It has the characteristics of little harm to the patient,definite curative effect,few postoperative complications,and low side effects.With the development of materials science,medical imaging,and computer technology,this radiotherapy technology has been widely used in the treatment of clinical tumor diseases.However,the current clinical radioactive brachytherapy for prostate cancer requires the experience of doctors and the assistance of physicists to puncture and implant the particles into the lesion through an implant device to achieve the purpose of targeted radiotherapy.The process has problems such as low particle implantation accuracy,poor efficiency,long planning time,and high labor intensity.Robots are introduced to assist seed implantation surgery.In this paper,the TPS treatment dose planning system is researched and developed to complete the preoperative dose planning and implant trajectory planning,and the following research is carried out to address the above problems.Clinically,seed implantation surgery is guided by ultrasound images.Although ultrasound images are real-time,they only have two-dimensional image information.This article uses the patient’s prostate MRI sequence images.The three-dimensional reconstruction of the images is used to obtain a three-dimensional model of the target area for the doctor to observe and analyze.The information of the sequence image is analyzed and the bilateral filter is selected for image enhancement.The bilateral filter has the characteristics of denoising and edge preservation.The optimized sparrow search algorithm is used to improve the coefficients of the bilateral filter,and then the edge segmentation method is used to segment the image and finally the 3D visualization model is obtained by 3D reconstruction through the surface rendering algorithm,which provides the basis for the subsequent dose planning.According to the dose calculation method proposed in the TG-43 U1 report and the dose standard in the TG-137 report,the line source model of the particle and its dose value in space are given,and the calculation method of dose absorption is deduced.This article A source distribution algorithm for reverse dose planning is proposed.According to the volume of the target volume and the dose calculation method,the dose plan that meets the medical standards is obtained,which improves the efficiency of preoperative planning.The objective function（DBOF）based on the dose-volume histogram（DVH）is regarded as the objective function of the inverse planning,and the inverse planning problem（ITP）is expressed as a compressed sensing（CS）problem,and we can get what we want through an efficient solver.To obtain the position of the particle implantation needle in the template,the target point is punctured by the robot.All implantation positions can be regarded as target points in space,and the end effector is required to complete all the target targets.Point,formulate the problem as a classic mathematical problem,the Traveling Salesman Problem（TSP）problem to get the optimal implant path.In this paper,the TPS software is developed under the Windows platform.Through the software,the entire preoperative planning process can be integrated and unified.The TPS system is divided into multiple modules,and the division of labor between different modules realizes the entire preoperative planning.The environment is configured in the Visual Studio software,the VTK software system and the ITK software package are installed,and the expected functions are realized.This paper has completed the single-particle dose verification experiment and dose planning experiment of the TPS system,built a UR robot-assisted particle implantation platform,completed the implant trajectory planning experiment,and verified the effectiveness of the trajectory planning algorithm.