A deformable model for human organ extraction

We present a modification of the well-known snakes algorithm for extracting contours in noisy images. Our modification addresses the issues of selection of the control points on an estimate of the contour and the determination of the weighting coefficients. The weighting coefficients are determined dynamically on the basis of the distance between the control points and the local curvature of the contour. We show results obtained in extracting the liver from cross-sectional images of the abdomen.