Frame to Frame Diffeomorphic Motion Analysis from Echocardiographic Sequences
Year: 2011
Type: article
Abstract: . Quantitative motion analysis from echocardiography is an important yet challenging problem. We develop a motion estimation algorithm for echocardiographic image sequences based on diffeomorphic image registration in which the velocity field is spatiotemporally smooth. The novelty of this work is that instead of optimizing a functional of velocity field which consists of similarity metrics between a reference image to each of the following images (first-to-follow), we optimize a functional which is a sum of similarity metrics of each two consecutive images (frame-to-frame). This method can reduce the bias effect of using a single image as reference. It also improves registration accuracy since consecutive frames usually have higher dependency than frames far away. We validate our method by using both simulated images with known ground truth and in vivo pig heart images with sonomicrometry. Tests indicate that our frame-to-frame motion estimation method is more accurate than first-to-follow method. 1
Authors: Zhijun Zhang, David J. Sahn, Xubo Song
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W3099462732