Actin Filament Segmentation Using Spatiotemporal Active-Surface and Active-Contour Models

摘要：

We introduce a novel algorithm for actin filament segmentation in a 2D TIRFM image sequence. We treat the 2D time-lapse sequence as a 3D image volume and propose an over-grown active surface model to segment the body of a filament on all slices simultaneously. In order to locate the two ends of the filament on the over-grown surface, a novel 2D spatiotemporal domain is created based on the resulting surface. Two 2D active contour models deform in this domain to locate the two filament ends accurately. Evaluation on TIRFM image sequences with very low SNRs and comparison with a previous method demonstrate the accuracy and robustness of this approach.

作者: Hongsheng Li Tian Shen Dimitrios Vavylonis Xiaolei Huang

作者单位: Department of Computer Science & Engineering, Lehigh University, USA Department of Physics, Lehigh University, 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: 86-94

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）