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A segmentation and reconstruction technique for 3D vascular structures.

Vincent Luboz·Xunlei Wu·Karl Krissian·Carl-Fredrik Westin·Ron Kikinis·Stéphane Cotin·Steve Dawson
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Abstract

In the context of stroke therapy simulation, a method for the segmentation and reconstruction of human vasculature is presented and evaluated. Based on CTA scans, semi-automatic tools have been developed to reduce dataset noise, to segment using active contours, to extract the skeleton, to estimate the vessel radii and to reconstruct the associated surface. The robustness and accuracy of our technique are evaluated on a vascular phantom scanned in different orientations. The reconstructed surface is compared to a surface generated by marching cubes followed by decimation and smoothing. Experiments show that the proposed technique reaches a good balance in terms of smoothness, number of triangles, and distance error. The reconstructed surface is suitable for real-time simulation, interactive navigation and visualization.

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AlgorithmsArtificial IntelligenceCerebral AngiographyHumansImaging, Three-DimensionalPattern Recognition, AutomatedPhantoms, ImagingRadiographic Image EnhancementRadiographic Image Interpretation, Computer-AssistedReproducibility of ResultsSensitivity and SpecificityEvaluation StudyJournal Article

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Vincent Luboz, Xunlei Wu, Karl Krissian, Carl-Fredrik Westin, Ron Kikinis, Stéphane Cotin, Steve Dawson. 2005. A segmentation and reconstruction technique for 3D vascular structures.. https://doi.org/10.1007/11566465_6

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