System and method for image-based respiratory motion compensation for fluoroscopic coronary roadmapping

A method for compensating respiratory motion in coronary fluoroscopic images, the method comprising the steps of:

• finding a set of transformation parameters of a parametric motion model that maximize an objective function that is a weighted normalized cross correlation function of a reference image acquired at a first time that is warped by the parametric motion model and a first incoming image acquired at a second time subsequent to the first time,
• wherein said weights are calculated as a ratio of a covariance of gradients of the reference image and gradients of the first incoming image with respect to a root of a product of a variance of the gradients of the reference image and the variance of the gradients of the first incoming image, and
• wherein the parametric motion model transforms the reference image to match the first incoming image.

A program storage device readable by a computer, tangibly embodying a program of instructions executable by the computer to perform the method steps for compensating respiratory motion in coronary fluoroscopic images, the method comprising the steps of:

• finding a set of transformation parameters of a parametric motion model that maximize an objective function that is a weighted normalized cross correlation function of a reference image acquired at a first time that is warped by the parametric motion model and a first incoming image acquired at a second time subsequent to the first time,
• wherein said weights are calculated as a ratio of a covariance of gradients of the reference image and gradients of the first incoming image with respect to a root of a product of a variance of the gradients of the reference image and the variance of the gradients of the first incoming image, and
• wherein the parametric motion model transforms the reference image to match the first incoming image.