Patent ID: 8029444
Filing Date: 2011-10-04
Classification: A61B,G01S,G06T

Abstract:
1. A method for determining tissue velocity vectors from ultrasonic diagnostic imaging data, comprising the following steps: (a) acquiring at least two consecutive B-mode and grey scale image frames along an ultrasound scanline from a ventricular wall by transmitting ultrasound beams against said ventricular wall and receiving corresponding beams reflected by said ventricular wall; (b) defining at least one identical reference point in said at least two consecutive image frames; (c) defining a small region of N×N pixels on each of said at least two consecutive image frames, where N=a natural number, said small region being centered on said reference point; (d) determining a first displacement of said point between a first frame and a second frame of said at least two consecutive image frames by calculating the cross-correlation between said at least two small regions in said at least two consecutive image frames and determining the position where the local correlation of said two consecutive image frames is a maximum; (e) determining the displacement of the position of said maximum local correlation from said first frame to said second frame of said two consecutive image frames and defining said displacement as the displacement of said reference point from the position of said point in said first frame to the position of said point in said second frame of said two consecutive image frames; (f) calculating a tissue velocity as the quotient of the displacement of said reference point from the position of said point in said first of said two consecutive image frames to the position of said reference point in said second of said two consecutive image frames and the time distance between said two consecutive image frames; (g) repeating at least a second time the defining of a new small region in each frame of said two consecutive image frames as a square regions which is centered at said point displaced by the corresponding displacement of said reference point from one frame to the consecutive frame in said sequence of image frames as calculated in said steps (d) through (f); (h) determining a cross correlation between said regions and a second displacement value; and (i) adding said second displacement value to said first displacement, wherein said small image regions are reduced in size at each iteration in order to improve resolution during iterations of said steps (g) through (i), wherein components of tissue strain are obtained from a time integration of a strain-rate, said strain-rate is calculated from a gradient of said tissue velocity estimated from two or more points.