A computer reconstruction of the entire coronary arterial tree based on detailed morphometric data.
A rigorous analysis of blood flow must be based on the branching pattern and vascular geometry of the full vascular circuit of interest. It is experimentally difficult to reconstruct the entire vascular circuit of any organ because of the enormity of the vessels. The objective of the present study was to develop a novel method for the reconstruction of the full coronary vascular tree from partial measurements. Our method includes the use of data on those parts of the tree that are measured to extrapolate the data on those parts that are missing. Specifically, a two-step approach was employed in the reconstruction of the entire coronary arterial tree down to the capillary level. Vessels > 40 microm were reconstructed from cast data while vessels < 40 microm were reconstructed from histological data. The cast data were reconstructed one-bifurcation at a time while histological data were reconstructed one-sub-tree at a time by "cutting" and "pasting" of data from measured to missing vessels. The reconstruction algorithm yielded a full arterial tree down to the first capillary bifurcation with 1.9, 2.04 and 1.15 million vessel segments for the right coronary artery (RCA), left anterior descending (LAD) and left circumflex (LCx) trees, respectively. The node-to-node connectivity along with the diameter and length of every vessel segment was determined. Once the full tree was reconstructed, we automated the assignment of order numbers, according to the diameter-defined Strahler system, to every vessel segment in the tree. Consequently, the diameters, lengths, number of vessels, segments-per-element ratio, connectivity and longitudinal matrices were determined for every order number. The present model establishes a morphological foundation for future analysis of blood flow in the coronary circulation.
Mittal
N
N
Department of Biomedical Engineering, Rockwell Engineering Center, University of California, Irvine, CA 92697-2715, USA.
Zhou
Y
Y
Ung
S
S
Linares
C
C
Molloi
S
S
Kassab
G S
GS
D000465:Algorithms; D003198:Computer Simulation; D003326:Coronary Circulation / Q000502:physiology; D003331:Coronary Vessels / Q000033:anatomy & histology*; D006801:Humans; D019044:Image Cytometry; D007091:Image Processing, Computer-Assisted; D008955:Models, Cardiovascular