Fast detection and characterization of vessels in very large 3-D data sets using geometrical moments.
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.
Toumoulin
C
C
Laboratoire Traitement du Signal et de l'Image, INSERM--Université de Rennes 1. christine.toumoulin@univ-rennes1.fr
Boldak
C
C
Dillenseger
J L
JL
Coatrieux
J L
JL
Rolland
Y
Y
D000465:Algorithms; D016477:Artifacts; D003626:Data Display; D005263:Femoral Artery / Q000000981:diagnostic imaging; D006801:Humans; D007511:Ischemia; D007866:Leg / Q000098:blood supply*; D008955:Models, Cardiovascular; D011150:Popliteal Artery / Q000000981:diagnostic imaging; D011856:Radiographic Image Enhancement / Q000379:methods*; D013927:Thrombosis / Q000000981:diagnostic imaging; D014057:Tomography, X-Ray Computed / Q000379:methods*