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A Segmentation and Reconstruction Technique for 3D Vascular Structures

Institution:
The SIM Group - CIMIT/ MGH, Cambridge, MA, USA. vluboz@partners.org
Publisher:
Med Image Comput Comput Assist Interv. MICCAI 2005
Publication Date:
Oct-2005
Volume Number:
8
Issue Number:
Pt 1
Pages:
43-50
Citation:
Int Conf Med Image Comput Comput Assist Interv. 2005 Oct;8(Pt 1):43-50.
PubMed ID:
16685827
Keywords:
3D vascular structures, Segmentation, Reconstruction
Appears in Collections:
SPL, CIGL, LMI, NAC
Generated Citation:
Luboz V., Wu X., Krissian K., Westin C-F., Kikinis R., Cotin S., Dawson S. A Segmentation and Reconstruction Technique for 3D Vascular Structures. Int Conf Med Image Comput Comput Assist Interv. 2005 Oct;8(Pt 1):43-50. PMID: 16685827.
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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.

Additional Material
1 File (44.237kB)
Luboz-MICCAI2005-fig6d.jpg (44.237kB)