Nonlinear Diffusion for Angiogram Enhancement based on Morphology Measure

Abstract

This paper introduces a nonlinear diffusion method for coronary angiogram enhancement based on morphology measure. This method is designed to utilize the distinction of morphology measure between coronary tree and background, and the iterative enhancement feature of nonlinear diffusion. The morphology measure is calculated by the difference between morphological opening results of original image with structuring elements of different scale. The morphology difference is embedded in a generalized formulation of P-M equation in which the statistics about intensity difference is replaced by the generalized measure. Experimentations are reported about the result of the proposed method on clinic angiogram and the comparative result with other method.