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刘义鹏, 蒋哲臣, 徐超清, 池华炯, 蒋莉, 冯远静, 梁荣华. 面向HARDI模型的脑纤维三维可视化系统[J]. 计算机辅助设计与图形学学报, 2019, 31(2): 190-196. DOI: 10.3724/SP.J.1089.2019.17597
引用本文: 刘义鹏, 蒋哲臣, 徐超清, 池华炯, 蒋莉, 冯远静, 梁荣华. 面向HARDI模型的脑纤维三维可视化系统[J]. 计算机辅助设计与图形学学报, 2019, 31(2): 190-196. DOI: 10.3724/SP.J.1089.2019.17597
Liu Yipeng, Jiang Zhechen, Xu Chaoqing, Chi Huajiong, Jiang Li, Feng Yuanjing, Liang Ronghua. HARDI Model Oriented 3D Visualization System of Brain Fiber[J]. Journal of Computer-Aided Design & Computer Graphics, 2019, 31(2): 190-196. DOI: 10.3724/SP.J.1089.2019.17597
Citation: Liu Yipeng, Jiang Zhechen, Xu Chaoqing, Chi Huajiong, Jiang Li, Feng Yuanjing, Liang Ronghua. HARDI Model Oriented 3D Visualization System of Brain Fiber[J]. Journal of Computer-Aided Design & Computer Graphics, 2019, 31(2): 190-196. DOI: 10.3724/SP.J.1089.2019.17597

面向HARDI模型的脑纤维三维可视化系统

HARDI Model Oriented 3D Visualization System of Brain Fiber

  • 摘要: 脑纤维是大脑各区域间信息交互的重要通道,而高角度分辨率扩散成像是表征人脑复杂神经纤维通路的有效方法,能对多种神经性疾病的诊断提供参考.但脑纤维分布错综复杂,如何对局部区域进行直观展示是可视化领域的研究难点.通过设计脑纤维三维可视化系统,实现对HARDI脑纤维数据的追踪和处理,并将处理结果在三维空间中呈现出来,实现光照技术以增加脑纤维可视化的空间层次感.文中提出基于散布矩阵的纤维筛选方法以降低三维可视化效果的视觉混杂性,并在此基础上实现2种算法对纤维进行聚类,增强了局部区域的直观展示,为临床诊断提供辅助分析工具.

     

    Abstract: Brain fibers are important channels for information exchange among different brain regions.High angular resolution diffusion imaging(HARDI)is an effective method to explore complex nerve fiber pathways in human brain,which can be used for the diagnosis of diverse neurological diseases.However,the large number of brain fibers is intricately distributed,how to display their local area directly is a challenge issue in the visualization field.In this paper,we design a 3D visualization system for brain fibers,the system can achieve the tracking and processing for HARDI brain fiber data,and visualize brain fibers in 3D space.The system implements the illumination technology to enhance the visualization of spatial layers of brain fibers.We also propose the fiber selection method based on scatter matrix in order to reduce the visual clutter.Two clustering algorithms are exploited to show the local region of brain fibers,which provides an auxiliary analysis tool for clinical diagnosis.

     

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