  We report an object tracking algorithm that combines geometrical constraints,
thresholding, and motion detection for tracking of the descending aorta and the
network of major arteries that branch from the aorta including the iliac and
femoral arteries. Using our automated identification and analysis, arterial
system was identified with more than 85% success when compared to human
annotation. Furthermore, the reported automated system is capable of producing
a stenosis profile, and a calcification score similar to the Agatston score.
The use of stenosis and calcification profiles will lead to the development of
better-informed diagnostic and prognostic tools.
