Title :
Motion estimation in ultrasound B-mode images using a maximum likelihood matching criterion
Author :
Kokkinidis, Isaac ; Strintzis, Michael G. ; Maglaveras, N.
Author_Institution :
Dept. of Electr. & Comput. Eng., Thessaloniki Univ., Greece
Abstract :
An optimal method for estimating motion in ultrasound B-mode images is presented. Such estimation is often needed for diagnostic purposes to distinguish regions of the image with differing motion. The block matching technique is adapted to the nature and statistics of these images, using maximum, likelihood (ML) estimation. In application to echocardiographic images, this approach is seen to give better results than standard block matching, without significantly increasing the computational complexity of the algorithm
Keywords :
biomechanics; computational complexity; echocardiography; maximum likelihood estimation; medical image processing; motion estimation; algorithm computational complexity; block artifacts; echocardiographic images; image regions distinguishing; image statistics; maximum likelihood matching criterion; medical diagnostic imaging; noise speckles; nonGaussian statistics; pathological cases; signal-dependent Gaussian process; standard block matching; tumor detection; ultrasound B-mode images; Biomedical imaging; Biomedical informatics; Image segmentation; Maximum likelihood detection; Maximum likelihood estimation; Motion estimation; Pathology; Signal processing; Statistics; Ultrasonic imaging;
Conference_Titel :
Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference
Conference_Location :
Montreal, Que.
Print_ISBN :
0-7803-2475-7
DOI :
10.1109/IEMBS.1995.575266
