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Thin network extraction in 3D images: application to medical angiograms

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5 Author(s)
Prinet, V. ; Inst. Nat. de Recherche en Inf. et Autom., Le Chesnay, France ; Monga, O. ; Ge, C. ; Xie, S.L.
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Thin network extraction from three dimensional images is a new issue in computer vision. It is of major importance in medical vascular imaging for diagnostic, therapy planning and surgery. In this paper, we develop a framework for automatic thin network extraction from the volumic image. The approach consists in treating the 3D image as a hyper-surface of IR4. It is shown that the crest points of this hyper-surface correspond to the center line of the thin network in the image. Using a simple mathematical model, we establish the relationship between the computed principal curvatures of the hyper-surface and the geometry of the network. Promising results are shown on synthetic and real vascular images

Published in:

Pattern Recognition, 1996., Proceedings of the 13th International Conference on  (Volume:3 )

Date of Conference:

25-29 Aug 1996