基于虚拟光场采集的医学影像立体显示技术

打开文本图片集
关键词:医学影像;光场显示;虚拟光场采集;三维可视化中图分类号:TN919.81;TP391.41 文献标识码:Adoi:10.37188/OPE.20263404.0686 CSTR:32169.14.OPE.20263404.0686
Stereoscopic display technology of medical images based on virtual light field acquisition
DENG Lijin 1,2* , CHEN Ning 1,2 , GU Yuejiannan1 (1. School of Artificial Intelligence, Changchun University of Science and Technology, Changchun 130022, Jilin,China; 2. Zhongshan Graduate School, Changchun University of Science and Technology, Zhongshan 528400,Guangdong,China) * Corresponding author, E-mail: denglijin@cust.edu. cn
Abstract:To improve the 3D visualization effect and autostereoscopic display performance of medical images,this paper proposed a light field display method for medical images based on virtual light field acquisition.First,based on medical tomographic image data,preprocessing algorithms were adopted to process the original image data. Combined with surface reconstruction and the improved Quadric Eror Metrics (QEM) simplification algorithm,a lightweight 3D medical model was constructed while its key structural features were preserved. Then,aiming at the limitations of traditional light field acquisition methods,a virtual camera array construction strategy based on computer graphics was further designed.It generated high-quality virtual light field content without relying on physical optical equipment.Finally,the light field acquisition scene was built for the simplified 3D model using multi-view rendering technology. It optimized the acquisition eficiency and spatial resolution of light field images.Experimental results show that the rendering overhead of the medical model is reduced by 90.16% . And the geometric accuracy of the model is only lost by 4.06% . The virtual light field acquisition system achieved rendering efficiencies of 9.83 frames per second (FPS) and 9.57 FPS on the two optical experimental platforms,respectively, with a substantial enhancement in the generation eficiency of elemental images,thereby largely fulfiling the real-time acquisition criteria.The proposed method significantly reduces the model complexity while ensuring the geometric accuracy of the medical model,and effectively improves the quality and real-time performance of virtual light field display.
Key Words:medical image;light field display;virtual light field acquisition;3D visualization
1引言
传统的二维医学图像(如CT)虽然能够提供高分辨率的断层信息,但缺乏直观的空间结构表达能力,难以满足临床对病灶区域空间定位、形态分析以及手术规划等多维度需求[1。(剩余16060字)