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Novel 4-D Open-Curve Active Contour and Curve Completion Approach for Automated Tree Structure Extraction

8 years 1 months ago
Novel 4-D Open-Curve Active Contour and Curve Completion Approach for Automated Tree Structure Extraction
We present novel approaches for fully automated extraction of tree-like tubular structures from 3-D image stacks. A 4-D Open-Curve Active Contour (Snake) model is proposed for simultaneous 3-D centerline tracing and local radius estimation. An image energy term, stretching term, and a novel region-based radial energy term constitute the energy to be minimized. This combination of energy terms allows the 4-D open-curve snake model, starting from an automatically detected seed point, to stretch along and fit the tubular structures like neurites and blood vessels. A graph-based curve completion approach is proposed to merge possible fragments caused by discontinuities in the tree structures. After tree structure extraction, the centerlines serve as the starting points for a Fast Marching segmentation for which the stopping time is automatically chosen. We illustrate the performance of our method with various datasets.
Yu Wang, Arunachalam Narayanaswamy, Badri Roysam
Added 30 Apr 2011
Updated 30 Apr 2011
Type Journal
Year 2011
Where CVPR
Authors Yu Wang, Arunachalam Narayanaswamy, Badri Roysam
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