Medical Image Segmentation And 3D Visualization Software Platform For 3D Printing

Currently,medical 3D reconstruction technology can present a three-dimensional image of lesions from multiple perspectives and levels,providing more accurate treatment for patients and allowing patients and their families to have a more intuitive understanding of the condition and subsequent treatment plans.However,the existing medical image 3D reconstruction systems on the market are expensive and complex,making it difficult for many small laboratories or research institutions to afford and requiring professionals to operate.Additionally,traditional medical 3D reconstruction software faces issues with cross-platform compatibility and remote access.This platform has three main contributions:(1)It implements related medical image data processing algorithms based on the VTK and ITK libraries and improves the VTKimageviewer2 visualization component in the VTK library,adding a masking function.(2)We developed a desktop-based medical image segmentation and 3D visualization platform that can handle input,output,segmentation,and 3D reconstruction of medical image data.The platform supports 3D printing,and users can choose to crop the model and output the data required for 3D printing.(3)To meet the demand for on-demand access to the platform and provide more convenient 3D visualization services,we built a web-based visualization platform based on the Spring Boot framework.The platform uses the three.js library to implement functions such as uploading medical 3D models,stereoscopic visualization,interaction,model rendering parameter adjustment,and model geometry calculation.Experimental results show that the platform has excellent visualization effects and smooth functions,and more features can be added in the future.The platform can also facilitate remote medical care,to a certain extent,improving medical services and promoting the development of mobile medical care.