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

Authors
Toumoulin, C Boldak, C Dillenseger, JL Coatrieux, JL Rolland, Y
Citation
C. Toumoulin et al., Fast detection and characterization of vessels in very large 3-D data setsusing geometrical moments, IEEE BIOMED, 48(5), 2001, pp. 604-606
Citations number
8
Categorie Soggetti
Multidisciplinary,"Instrumentation & Measurement
Journal title
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
ISSN journal
00189294 → ACNP
Volume
48
Issue
5
Year of publication
2001
Pages
604 - 606
Database
ISI
SICI code
0018-9294(200105)48:5<604:FDACOV>2.0.ZU;2-4
Abstract
An improved and very fast algorithm dealing with the extraction of vessels in three-dimensional imaging is described, The approach is based on geometr ical 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 arterie s in multidetector computed tomography scanner.