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L. Carole, C. Claude, E. Paul, F. Nuno, B. Bernard and T. Regine, “Optimization of Injected Dose Based on Noise Equivalent Count Rates for 2- and 3-Dimensional Whole- Body PET,” Journal of Nuclear Medicine, Vol. 43, No. 9, 2002, pp. 1268-1278.

has been cited by the following article:

• TITLE: Reduction of Systematic Error in Radiopharmaceutical Activity by Entropy Based Mutual Information

  AUTHORS: Palliyakarany T. K. Kumar, Toshikazu Takeda

  KEYWORDS: Random and Systematic Errors; Covariance Matrix; Limits for Correlated Elements by Determinant Inequalities; Mutual Information; Reduction of Systematic Errors by Maximizing Mutual Information

  JOURNAL NAME: World Journal of Nuclear Science and Technology, Vol.2 No.1, December 31, 2011

  ABSTRACT: The quality of the radiation dose depends upon the gamma count rate of the radionuclide used. Any reduction in error in the count rate is reflected in the reduction in error in the activity and consequently on the quality of dose. All the efforts so far have been directed only to minimize the random errors in count rate by repetition. In the absence of probability distribution for the systematic errors, we propose to minimize these errors by estimating the upper and lower limits by the technique of determinant in equalities developed by us. Using the algorithm we have developed based on the tech- nique of determinant inequalities and the concept of maximization of mutual information (MI), we show how to process element by element of the covariance matrix to minimize the correlated systematic errors in the count rate of 113 mIn. The element wise processing of covariance matrix is so unique by our technique that it gives experimentalists enough maneuverability to mitigate different factors causing systematic errors in the count rate and consequently the activity of 113 mIn.