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

IEEE Transactions on Bio-medical Engineering
C ToumoulinY Rolland

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.

References

Dec 24, 1997·Journal of Magnetic Resonance Imaging : JMRI·P E SummersD J Hawkes
Sep 6, 2000·Medical Image Analysis·T McInerney, D Terzopoulos
Feb 24, 2001·IEEE Transactions on Medical Imaging·S ShiffmanS Napel

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Citations

Nov 16, 2013·IEEE Journal of Biomedical and Health Informatics·Marie-Paule GarciaChristine Toumoulin
Sep 29, 2009·IEEE Transactions on Bio-medical Engineering·Simon EsneaultJean-Louis Dillenseger
Nov 24, 2004·IEEE Transactions on Medical Imaging·P HaigronA Lucas
Sep 30, 2005·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Muhammad-Amri Abdul-KarimShivkumar Kalyanaraman
Jul 6, 2005·Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society·Mahnaz MaddahZheng G Zhang

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