Reduction of noise due to systematic uncertainties in In-113m SPECT imaging using information theory
SPECT images using radiopharmaceuticals are limited by noise caused by both random and systematic uncertainties. All the efforts so far have been directed only to minimize the random uncertainty and no attempt has ever been made to minimize the noise due to systematic uncertainty. As these radiopharmaceuticals encounter many systematic uncertainties during their formation, we constructed the covariance matrix with some of these systematic uncertainties for the gamma count rate of In-113m. we describe the algorithm we have developed based on the technique of determinant inequalities and the concept of minimization of mutual information to process the covariance matrix element by element to minimize the noise caused by systematic uncertainty in the SPECT imaging of In-113m and its utility to experimentalists to design and improve their process of measurement and instrumentation. (C) 2009 Elsevier Ltd. All rights reserved.
covariance matrix minimization of mutual information noise in spect images systematic uncertainties in spect imaging bounds for covariance elements by determinant inequalities reduction of noise by minimization mutual information