Parametric estimation of 2-D motion on ultrasonic images using respiratory signal

Author

Iida, Michito ; Tagawa, Norio ; Minagawa, Akihiro ; Moriya, Tadashi ; Minohara, Shinichi

Author_Institution

Dept. of Electr. Eng., Tokyo Metropolitan Univ., Japan

Volume

2

fYear

1998

fDate

1998

Firstpage

1693

Abstract

It is usually difficult to estimate two-dimensional (2-D) motion from ultrasonic images because of their low image quality. In this paper, we propose a motion estimation method in which respiratory information strongly correlated with the motion of an internal organ is used. We represent the 2-D motion as a regressive model in which, with respect to the respiratory signal, we introduce an appropriate temporal constraint. Additionally, for this regressive model we construct an algorithm to determine the parameters in the model as a maximum likelihood (ML) estimation and to determine the motion as a MAP estimation

Keywords

biological organs; biomedical ultrasonics; gradient methods; image sequences; maximum likelihood estimation; medical image processing; motion estimation; physiological models; 2D motion estimation method; MAP estimation; gradient method; image sequence; internal organ motion; low image quality; maximum likelihood estimation; optical flow; parametric estimation; regressive model; respiratory information; temporal constraint; ultrasonic images; Equations; Gradient methods; Image motion analysis; Image quality; Image sequences; Maximum likelihood detection; Maximum likelihood estimation; Motion analysis; Motion estimation; Nonlinear optics;

fLanguage

English

Publisher

ieee

Conference_Titel

Ultrasonics Symposium, 1998. Proceedings., 1998 IEEE

Conference_Location

Sendai

ISSN

1051-0117

Print_ISBN

0-7803-4095-7

Type

conf

DOI

10.1109/ULTSYM.1998.765275

Filename

765275