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27 January 2010 Numerical observer for cardiac motion assessment
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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.
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Jovan G. Brankov, Thibault Marin, P. Hendrik Pretorius, Yongyi Yang, and Miles N. Wernick "Numerical observer for cardiac motion assessment", Proc. SPIE 7533, Computational Imaging VIII, 75330G (27 January 2010); doi: 10.1117/12.851736; https://doi.org/10.1117/12.851736
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