Fast detection and characterization of vessels in very large 3-D data sets using geometrical moments. - Inserm - Institut national de la santé et de la recherche médicale Access content directly
Journal Articles IEEE Transactions on Biomedical Engineering Year : 2001

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

Abstract

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.

Domains

Bioengineering
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Dates and versions

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

Identifiers

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

Cite

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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