Characterization of 3-D coronary tree motion from MSCT angiography.
This paper describes a method for the characterization of coronary artery motion using multislice computed tomography (MSCT) volume sequences. Coronary trees are first extracted by a spatial vessel tracking method in each volume of MSCT sequence. A point-based matching algorithm, with feature landmarks constraint, is then applied to match the 3-D extracted centerlines between two consecutive instants over a complete cardiac cycle. The transformation functions and correspondence matrices are estimated simultaneously, and allow deformable fitting of the vessels over the volume series. Either point-based or branch-based motion features can be derived. Experiments have been conducted in order to evaluate the performance of the method with a matching error analysis.
Laboratory of Image Science and Technology, Southeast University, Nanjing 210096, China. gyyang1980@gmail.com
Guanyu
G
Yang
Jian
J
Zhou
Dominique
D
Boulmier
Marie-Paule
MP
Garcia
Limin
L
Luo
Christine
C
Toumoulin
D000465:Algorithms; D017023:Coronary Angiography / Q000379:methods*; D003331:Coronary Vessels / Q000502:physiology*; D006321:Heart / Q000502:physiology; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008955:Models, Cardiovascular; D014057:Tomography, X-Ray Computed / Q000379:methods*