Actin filament segmentation using spatiotemporal active-surface and active-contour models.
Actin filament segmentation using spatiotemporal active-surface and active-contour models.
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DOI：
10.1007/978-3-642-15705-9_11
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发表时间：
2010
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我们介绍了一种新的算法，肌动蛋白丝分割的二维TIRFM图像序列。我们把2D的时间推移序列作为一个3D图像体积，并提出了一个过度生长的活动表面模型，同时分割所有切片上的灯丝的身体。为了定位在过度生长的表面上的细丝的两端，一个新的2D时空域创建的基础上产生的表面。两个2D活动轮廓模型在该域中变形以准确定位两个细丝末端。对信噪比很低的TIRFM图像序列的评价以及与已有方法的比较表明了该方法的准确性和鲁棒性。
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.