基于黎曼流形反距离插值的纤维追踪技术研究  

Fiber Tracking Technology Based on Riemannian Manifold Inverse Distance Interpolation

作　　者：范宏[1] 邹翎[2] 王凯[1] 李柏林[1] 高业文[1] 

机构地区：[1]西南交通大学机械工程学院,四川成都610031 [2]四川大学华西医院放射科,四川成都610041

出　　处：《中国医学影像学杂志》2011年第5期333-337,共5页Chinese Journal of Medical Imaging

摘　　要：目的提高纤维追踪的精度,有助于理解正常脑功能。材料与方法在流线追踪的基础上,引入黎曼测度和反距离权重,从而完成对当前点的张量值插值。结果新插值方法追踪出的纤维比传统插值方法的更长,更平滑。结论该算法是一种有效的纤维追踪技术。Purpose To improve the precision of fiber tracking andto better understandthe normal brain function. Materials andMethods Based on the streamline tracking technology, this algorithm introduced Riemannian metrics and inverse distance weights tointerpolatethe diffusion tensor of current points. Results Using this new method, the fibers tracked from in vivo data were smoother and longer than those obtained using the conventional interpolation methods. Couelusion Riemannian manifold inverse distance interpolation is an effective fiber tracking technology

关 键 词：弥散张量成像 纤维追踪 纤维束成像 黎曼流形 

分 类 号：R445.9[医药卫生—影像医学与核医学]