| Facial symmetry analysis is a clinical basic problem closely related to many disciplines of Stomatology.For example,in the planning and design of oral orthognathic,trauma and tumor surgery,the design of orthodontic treatment scheme and the design of oral aesthetic restoration,facial symmetry analysis is a key link and the general basis for the design of surgery and treatment scheme,The construction of median sagittal plane(MSP)is the premise and basis of facial symmetry analysis.Therefore,it is a key scientific problem to study the intelligent construction algorithm of three-dimensional facial median sagittal plane to meet the needs of oral clinical diagnosis and treatment.To solve the above problems,firstly,this paper systematically investigates and analyzes the relevant algorithms at home and abroad,and selects the "ontology mirror image correlation method" based on marker points as the construction method of facial median sagittal reference plane,On this basis,based on the needs of ddta analysis of patients with complex facial deformities in oral clinic,a set of algorithm for generating three-dimensional facial median sagittal plane based on weighted Proctor analysis is designed and implemented;Then,according to the patient case data,facial asymmetry analysis and intelligent weighting are carried out based on anatomical markers;Finally,taking the symmetrical reference plane defined by senior clinical doctors as the true value,the clinical applicability of the algorithm is evaluated.The analysis results show that the algorithm described in this paper meets the intelligent needs of simulating clinical expert diagnosis strategy.In the system design and development stage,starting from the needs of target users,this paper designs and implements a three-dimensional facial midsagittal plane intelligent construction system with perfect functions and high usability.The algorithm logic part is constructed with Python language,the front-end interface is constructed with Qt development framework,and the calculation acceleration part selects WebGPU as the API interface to interact with GPU.At present,the system has initially met the clinical needs,and the project results have been clinically applied in the Peking University School and Hospital of Stomatology. |