Fast detection and characterization of vessels in very large 3-D data sets using geometrical moments. - Université de Rennes Accéder directement au contenu
Article Dans Une Revue IEEE Transactions on Biomedical Engineering Année : 2001

Fast detection and characterization of vessels in very large 3-D data sets using geometrical moments.

Résumé

An improved and very fast algorithm dealing with the extraction of vessels in three-dimensional imaging is described. The approach is based on geometrical moments and a local cylindrical approximation. A robust estimation of vessel and background intensity levels, position, orientation, and diameter of the vessels with adaptive control of key parameters, is provided during vessel tracking. Experimental results are presented for lower limb arteries in multidetector computed tomography scanner.
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Dates et versions

inserm-00134957 , version 1 (11-11-2010)

Identifiants

  • HAL Id : inserm-00134957 , version 1
  • PUBMED : 11341536

Citer

Christine Toumoulin, Cezary Boldak, Jean-Louis Dillenseger, Jean-Louis Coatrieux, Yan Rolland. Fast detection and characterization of vessels in very large 3-D data sets using geometrical moments.. IEEE Transactions on Biomedical Engineering, 2001, 48 (5), pp.604-6. ⟨inserm-00134957⟩
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