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

Volume

1

fYear

1995

fDate

20-25 Sep 1995

Firstpage

593

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference

Conference_Location

Montreal, Que.

Print_ISBN

0-7803-2475-7

Type

conf

DOI

10.1109/IEMBS.1995.575266

Filename

575266