Accuracy assessment of layer decomposition using simulated angiographic image sequences

Layer decomposition is a promising method for obtaining accurate densitometric profiles of diseased coronary artery segments. This method decomposes coronary angiographic image sequences into moving densitometric layers undergoing translation, rotation, and scaling. In order to evaluate the accuracy of this technique, the authors have developed a technique for embedding realistic simulated moving stenotic arteries in real clinical coronary angiograms. They evaluate the accuracy of layer decomposition in two ways. First, they compute tracking errors as the distance between the true and estimated motion of a reference point in the arterial lesion. The authors find that noise-weighted phase correlation and layered background subtraction are superior to cross correlation and fixed mask subtraction, respectively. Second, they compute the correlation coefficient between the true vessel profile and the raw and processed images in the region of the stenosis. They find that layer decomposition significantly improves the correlation coefficient.