Study On X-ray Induced Acoustic Computed Tomography In Bone Density Detection

With the development of information science and technology,computer science and technology has also been widely applied in the medical field.Modern medicine has been inseparable from computer science and technology.Among them,computer-aided diagnosis technology and computer-guided cancer radiotherapy technology have attracted more and more attention.They are the frontier topics in the multidisciplinary field in recent years.The development of digital and intelligent processes,computer-aided diagnostic techniques,and the application of computer-guided cancer radiotherapy technology will have broader prospects.This paper mainly studies two theories related to the above two technologies and their clinical applications.Osteoporosis is one of the most common metabolic bone diseases characterized by low bone mass.Osteoporosis occurs when bone strength decreases and it increases the risk of fracture.Bone mineral density(BMD)is the main predictor of bone tolerance load and fracture.There are a large number of studies measuring BMD,but there are still some problems need to be solved.X-ray-induced acoustic computed tomography(XACT)is a new and promising imaging mode that combines the high contrast of X-ray absorption with the high resolution offered by ultrasound.In this study,we proposed a three-dimensional XACT imaging system for bone density imaging and performed a simulation experiment with K-wave toolbox on MATLAB.We designed a three-dimensional spherical detector array and studied its optimal imaging position and resolution.The spatial resolution of imaging was 123-130 ?m along both axial and lateral directions.We simulated the three-dimensional XACT imaging of mouse bone microstructures using a digital model generated from real biological samples.The results of this study will greatly enhance the potential of XACT imaging for future clinical applications in assessing bone disease.XACT is a novel and promising imaging mode.Its imaging principle relate to the absorption of X-rays.On the one hand,XACT imaging can assist in the diagnosis of pathological changes in organ tissues,and on the other hand,it can use for real-time monitoring of radiation dose during cancer radiotherapy.The development of a radiation therapy plan is particularly important before the implementation of radiation therapy because it guides the entire process of radiation therapy.In another part of the study,the knowledge-based IMRT planning for individual liver cancer patients using a novel specific model,calculating the radiation dose of the tumor and organs at risk,and guiding the process of radiation therapy.The premise of real-time dose monitoring during radiotherapy has a considerable significance for the development of precision radiotherapy.Intensity modulated radiation therapy(IMRT),a computer-based retrograde radiotherapy program optimization,which delivers higher therapeutic doses to tumors while reducing the impact on adjacent normal tissues.However,each IMRT program is currently starting from scratch and optimized using trial and error,which is time consuming and subjective.Knowledge-based planning automation optimization techniques aim to reduce inconsistencies in planning quality and planning time.Knowledge-based planning automation software,RapidPlan,obtains models that can predict new patient dose-volume histograms(DVH)by training a model library of different patient plans and using these models to set optimization goals,yet the software is just in In the trial phase,the ability to predict the model and its clinical application remains to be further studied.The purpose of this work is to benchmark RapidPlan against clinical plans for liver Intensity-modulated radiotherapy(IMRT)treatment of patients with special anatomical characteristics,and to investigate the prediction capability of the general model(Model-G)versus our specific model(Model-S).Our results show that RapidPlan can automatically generate high-quality radiotherapy plans.Compared with the two models,the RPS program significantly improves the target area and significantly reduces the dose of the right kidney and spinal cord.For cases with a specific structure,a small and sophisticated model has a greater impact on the predictive power of the model than a larger model.