Automatic Neuron Tracing in Volumetric Microscopy Images with Anisotropic Path Searching

摘要：

Full reconstruction of neuron morphology is of fundamental interest for the analysis and understanding of neuron function. We have developed a novel method capable of tracing neurons in threedimensional microscopy data automatically. In contrast to templatebased methods, the proposed approach makes no assumptions on the shape or appearance of neurons body. Instead, an efficient seeding approach is applied to find significant pixels almost certainly within complex neuronal structures and the tracing problem is solved by computing an graph tree structure connecting these seeds. In addition, an automated neuron comparison method is introduced for performance evaluation and structure analysis. The proposed algorithm is computationally efficient. Experiments on different types of data show promising results.

作者: Jun Xie Ting Zhao Tzumin Lee Eugene Myers Hanchuan Peng

作者单位: Janelia Farm Research Campus,Howard Hughes Medical Institute, Ashburn, Virginia USA Janelia Farm Research Campus, Howard Hughes Medical Institute, Ashburn, Virginia USA

会议类型: 国际会议

会议名称: The 13th International Conference on Medical Image Computing and Computer-Assisted Intervention(第13届医学影像计算与计算机辅助介入国际会议 MICCAI 2010)

会议地点: 北京

会议语种:英文

页码: 472-479

在线出版日期: 2010-09-01（万方平台首次上网日期，不代表论文的发表时间）