Research And Implementation Of Assistant Diagnosis Method Of 3D Reconstruction Of Meniscus Based On Medical Image

The meniscus is a crescent-shaped cartilage that is located between the femur and tibia of the knee joint.It undertakes the role of reducing the pressure on the knee joint and reducing local wear during exercise.Meniscal injuries are the most common knee disease seen by orthopaedic surgeons,and magnetic resonance imaging is an effective way to detect meniscal disease.Although MR images are useful for doctors to judge diseases,due to the large number of slices,there is a large amount of information in the images.Therefore,physicians' diagnosis of diseases by observing images is easily affected by various factors such as subjective factors,medical experience,and image conditions.In view of the above background,this paper is based on the fact that the slice is proportional to the real size of the image when DICOM data is recorded and acquired.In the 3D reconstruction experiment,the actual size of the reconstructed model can be obtained by measuring instruments and proportional relationships,and the volume of the meniscus can be calculated.In order to achieve the purpose of observing the volume change of the meniscus before and after the medication in a quantitative way,it can assist doctors in diagnosing meniscal diseases.The premise of 3D reconstruction and volume calculation is to accurately segment the meniscus,and the obtained segmentation results are used for 3D reconstruction and volume calculation.With the help of medical clinical knowledge and computer image processing technology,the research in this paper designs a set of procedures to realize the auxiliary diagnosis of the meniscus,and segment,reconstruct and calculate the volume of the meniscus in the magnetic resonance image sequence.In terms of segmentation,this paper first performs windowing processing and Gaussian filtering for noise reduction,and then uses the segmentation method combining Canny edge detection and region growth to extract the meniscus target,and uses the high correlation of adjacent slices to achieve subsequent slices.The automatic selection of seed points,and then using morphological processing to optimize the results,complete the segmentation of the meniscus;in terms of reconstruction,this paper uses the moving cube algorithm of surface rendering to reconstruct the meniscus in 3D,and the segmentation results of the meniscus are 3D.In the form of display,the calculation results are more intuitive,which is convenient for operation and practical application;in terms of volume calculation,the integral method is used to quantify the meniscus.Provide data basis for auxiliary diagnosis of meniscus injury.Compared with the original region growing method,this paper is more targeted,batch processing of image sequences,high operational efficiency,and flexible and easy-to-expand algorithm.This study provides clear data for the observation of meniscus changes by calculating the volume of the meniscus,and provides an intuitive model with the help of 3D reconstruction technology to realize the MRI-assisted diagnosis of the meniscus.It has certain value both in theory and practice.