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Proceedings Paper

Left ventricle motion estimation based on signal-dependent time-frequency representation
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Paper Abstract

In current clinical practice, the noninvasive assessment of left ventricular deformation can be determined using all the principal imaging modalities, including contrast angiography, echocardiography, cine computed tomography, single photon emission tomography and magnetic resonance imaging. However, since the heart undergoes complex motion, proper characterization of its motion still remains an open and challenging research problem. A number of approaches for nonrigid motion analysis have been studied in the literature. Much of the effort has confined to estimate the displacement vector for each image point or optical flow. This is a challenging problem in image analysis because of a wide range of possible motions and the presence of noise in the image sets. In this work, we present an algorithm for computation of optical flow based on a signal-dependent radially Gaussian kernel that adapts over time. The adaptive kernel obtained from the proposed algorithm is used to estimate a 3D-frequency spectrum for a given pixel in a series of images. The orientation of the spectrum in the frequency domain is totally governed by the pixel velocity. In a recent contribution, a linear regression model is used over the spectrum to obtain the velocity components that are proportional to the pixel movement.

Paper Details

Date Published: 2 May 2003
PDF: 8 pages
Proc. SPIE 5031, Medical Imaging 2003: Physiology and Function: Methods, Systems, and Applications, (2 May 2003); doi: 10.1117/12.480397
Show Author Affiliations
Marco Antonio Gutierrez, Univ. of Sao Paulo Medical School (Brazil)
Univ. of Sao Paulo (Brazil)
Heinar A. Weiderpass, Univ. of Sao Paulo (Brazil)
Santo Andre Foundation (Brazil)
Sergio Shiguemi Furuie, Univ. of Sao Paulo Medical School (Brazil)
Univ. of Sao Paulo (Brazil)


Published in SPIE Proceedings Vol. 5031:
Medical Imaging 2003: Physiology and Function: Methods, Systems, and Applications
Anne V. Clough; Amir A. Amini, Editor(s)

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