05612104

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05612104 Li, Hongsheng Shen, Tian Vavylonis, Dimitrios Huang, Xiaolei Actin filament tracking based on particle filters and stretching open active contour models. Yang, Guang-Zhong (ed.) et al., Medical image computing and computer-assisted intervention -- MICCAI 2009. 12th international conference, London, UK, September 20--24, 2009. Proceedings, Part II. Berlin: Springer (ISBN 978-3-642-04270-6/pbk). Lecture Notes in Computer Science 5762, 673-681 (2009). 2009 Berlin: Springer EN

doi:10.1007/978-3-642-04271-3_82

Summary: We introduce a novel algorithm for actin filament tracking and elongation measurement. Particle Filters (PF) and Stretching Open Active Contours (SOAC) work cooperatively to simplify the modeling of PF in a one-dimensional state space while naturally integrating filament body constraints to tip estimation. Our algorithm reduces the PF state spaces to one-dimensional spaces by tracking filament bodies using SOAC and probabilistically estimating tip locations along the curve length of SOACs. Experimental evaluation on TIRFM image sequences with very low SNRs demonstrates the accuracy and robustness of this approach.