Actin filament segmentation using spatiotemporal active-surface and active-contour models

Hongsheng Li; Tian Shen; Dimitrios Vavylonis; Xiaolei Huang

doi:10.1007/978-3-642-15705-9_11

Actin filament segmentation using spatiotemporal active-surface and active-contour models

Med Image Comput Comput Assist Interv. 2010;13(Pt 1):86-94. doi: 10.1007/978-3-642-15705-9_11.

Authors

Hongsheng Li¹, Tian Shen, Dimitrios Vavylonis, Xiaolei Huang

Affiliation

¹ Department of Computer Science & Engineering, Lehigh University, USA.

Abstract

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.

Publication types

Research Support, N.I.H., Extramural

MeSH terms

Actin Cytoskeleton / ultrastructure*
Algorithms*
Computer Simulation
Image Enhancement / methods
Image Interpretation, Computer-Assisted / methods*
Imaging, Three-Dimensional / methods*
Microscopy / methods*
Models, Molecular
Pattern Recognition, Automated / methods*
Reproducibility of Results
Sensitivity and Specificity
Subtraction Technique*

Abstract

Publication types

MeSH terms

Grants and funding