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Proceedings Paper

Numerical observer for cardiac motion assessment
Author(s): Jovan G. Brankov; Thibault Marin; P. Hendrik Pretorius; Yongyi Yang; Miles N. Wernick
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Paper Abstract

In this paper, we present a numerical observer for assessment of cardiac motion in nuclear medicine. Numerical observers are used in medical imaging as a surrogate for human observers to automatically measure the diagnostic quality of medical images. The most commonly used quality measurement is the detection performance in a detection task. In this work, we present a new numerical observer aiming to measure image quality for the task of cardiac motiondefect detection in cardiac SPECT imaging. The proposed observer utilizes a linear discriminant on features extracted from cardiac motion, characterized by a deformable mesh model of the left ventricle and myocardial brightening. Simulations using synthetic data indicate that the proposed method can effectively capture the cardiac motion and provide an accurate prediction of the human observer performance.

Paper Details

Date Published: 27 January 2010
PDF: 6 pages
Proc. SPIE 7533, Computational Imaging VIII, 75330G (27 January 2010); doi: 10.1117/12.851736
Show Author Affiliations
Jovan G. Brankov, Illinois Institute of Technology (United States)
Thibault Marin, Illinois Institute of Technology (United States)
P. Hendrik Pretorius, Univ. of Massachusetts Medical School (United States)
Yongyi Yang, Illinois Institute of Technology (United States)
Miles N. Wernick, Illinois Institute of Technology (United States)

Published in SPIE Proceedings Vol. 7533:
Computational Imaging VIII
Charles A. Bouman; Ilya Pollak; Patrick J. Wolfe, Editor(s)

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