Dynamic estimation of left-ventricular ejection fraction

Seema Jaggi; William Clement Karl; Alan S. Willsky

doi:10.1117/12.148635

29 July 1993 Dynamic estimation of left-ventricular ejection fraction

Seema Jaggi, William Clement Karl, Alan S. Willsky

Proceedings Volume 1905, Biomedical Image Processing and Biomedical Visualization; (1993) https://doi.org/10.1117/12.148635
Event: IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, 1993, San Jose, CA, United States

Abstract

We investigate a method to obtain a dynamic estimate of left ventricular ejection fraction from a gated set of planar myocardial perfusion images. Ejection fraction is defined as the ratio of the fully contracted left-ventricular volume to the fully expended left-ventricular volume and is known as an effective gauge of cardiac function. This method is proposed as a safer and more cost-effective alternative to currently used radionuclide ventriculographic based techniques. To formulate this estimate of ejection fraction, we employ geometric reconstruction and recursive estimation techniques. The left ventricle is modelled as a dynamically evolving three- dimensional ellipsoid. The left-ventricular outline observed in the myocardial perfusion images are then modelled as two-dimensional ellipsoids, obtained as projections of the former three- dimensional ellipsoid. The ellipsoid that approximates the left ventricle is reconstructed using Rauch-Tung Striebel smoothing which combines the observed temporal set of projection images with an evolution model to produce the best estimate of the ellipsoid at any point in time given all the data. This investigation includes estimation of ejection fraction from both simulated and real data.

Citation Download Citation

Seema Jaggi, William Clement Karl, and Alan S. Willsky "Dynamic estimation of left-ventricular ejection fraction", Proc. SPIE 1905, Biomedical Image Processing and Biomedical Visualization, (29 July 1993); https://doi.org/10.1117/12.148635

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available