Quantitative evaluation of diagnostic information around the contours in ultrasound images.

Purpose: To develop a new contour extraction method for identifying abnormal tissue.

Methods: We combined two techniques: logarithmic K distribution of a scattering model (method 1) and regional discrimination using the characteristics of local ultrasound images (method 2) into an integrated method (method 3) that provides accurate contours, which are essential for quantitizing border information.

Results: The diagnostic tissue information around the border of an image can be characterized by its shape and texture statistics.