Due to vessel overlap and foreshortening, multiple projections are necessar
y to adequately evaluate the coronary tree with arteriography, Catheter-bas
ed interventions can only be optimally performed when these visualization p
roblems are successfully solved. The traditional method provides multiple s
elected views in which overlap and foreshortening are subjectively minimize
d based on two dimensional (2-D) projections. A pair of images acquired fro
m routine angiographic study at arbitrary orientation using a single-plane
imaging system were chosen far three-dimensional (3-D) reconstruction. Afte
r the arterial segment of interest (e.g., a single coronary stenosis or bif
urcation lesion) was selected, a set of gantry angulations minimizing segme
nt foreshortening was calculated. Multiple computer-generated projection im
ages with minimized segment foreshortening were then used to choose views w
ith minimal overlapped vessels relative to the segment of interest. The opt
imized views could then be utilized to guide subsequent angiographic acquis
ition and interpretation. Over 800 cases of coronary arterial trees have be
en reconstructed, in which more than 40 cases were performed in room during
cardiac catheterization. The accuracy of 3-D length measurement was confir
med to be within an average root-mean-square (rms) 3.5% error using eight d
ifferent pairs of angiograms of an intracoronary guidewire of 105-mm length
with eight radiopaque markers of 15-mm interdistance. The accuracy of simi
larity between the additional computer-generated projections versus the act
ual acquired views was demonstrated with the average rms errors of 3.09 mm
and 3.13 mm in 20 LCA and 20 RCA cases, respectively. The projections of th
e reconstructed patient-specific 3-D coronary tree model can be utilized fo
r planning optimal clinical views: minimal overlap and foreshortening, The
assessment of lesion length and diameter narrowing can be optimized in both
interventional cases and studies of disease progression and regression.