Plaque Boundary Extraction in Intravascular Ultrasound Image by Use of Weighted Least Square Method Using Local Statistics

Abstract

In this paper, we propose a new boundary extraction method, which achieves a precise boundary extraction of a plaque in an intravascular ultrasound (IVUS) image. The proposed method uses not only the seed points information but also the information obtained from the IVUS image. In this method, the boundary to be extracted is approximated by a polynomial series. The coefficients of the series are determined by the least square method with weight of a ratio of the between-class to the within-class variance. The validity and the effectiveness of the proposed method have been confirmed by applying it to a practical boundary extraction problem of a plaque in the IVUS image.