Title :
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
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;
Conference_Titel :
Ultrasonics Symposium, 1998. Proceedings., 1998 IEEE
Conference_Location :
Sendai
Print_ISBN :
0-7803-4095-7
DOI :
10.1109/ULTSYM.1998.765275
