脑纤维可视化综述

A Survey on Brain Fiber Visualization

脑纤维是构成大脑复杂结构和各脑区信息交流的物质基础.基于弥散张量成像和追踪技术的纤维解剖结构重建,对脑肿瘤手术导航、神经性疾病的诊断及人脑神经网络连接图谱的绘制等有着十分重要的价值.脑纤维可视化技术的目标是更精确地表达单体素纤维方向和全局纤维分布,并对纤维束形成过程中的不确定性进行量化分析,以降低视觉混杂性,增加空间层次感,为临床诊断提供辅助性分析工具.文中简略地介绍了脑纤维束的重构流程,从脑纤维的可视表达形式角度出发,梳理并总结了当前主流的纤维表示及渲染方法;并从模型估计、纤维追踪过程和纤维束分析等3个方面,讨论了脑纤维不确定性可视化的进展;最后,对需要进一步探索的研究方向进行展望.

Brain fibers constitute the foundation for the brain complex structure and the information exchange among the brain regions.The fiber anatomical structures reconstruction based on diffusion tensor imaging and tractography techniques is rewarding to surgical navigation of brain tumors,neurological diseases diagnosis and description for the brain neural network connection graph.The brain fiber visualization technique aims to represent the one voxel fiber orientation and global distribution more accurately,and quantitatively analyze the uncertainties in fiber bundles,moreover,reduce visual clutter with improving the spatial perception so that the auxiliary analysis tool can be supported for clinical diagnosis.This paper briefly introduces the reconstruction process of brain fiber bundles.Meanwhile,the current mainstream fiber representation and rendering methods are reviewed and summarized from the perspective of fibers visual exploration,and the development of brain fiber uncertainty visualization is discussed according to model estimation and fiber tracking with fiber bundles analysis.Finally,we propose the further research directions.