Reduction of noise due to systematic uncertainties in 113mIn SPECT imaging using information theory

P. T. Krishna Kumar, Vir Phoha, S. S. Iyengar, Puneeth Iyengar

Research output: Contribution to journalArticle

2 Scopus citations

Abstract

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 113mIn. 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 113mIn and its utility to experimentalists to design and improve their process of measurement and instrumentation.

Original languageEnglish (US)
Pages (from-to)482-488
Number of pages7
JournalComputers in Biology and Medicine
Volume39
Issue number5
DOIs
StatePublished - May 2009

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Keywords

  • Bounds for covariance elements by determinant inequalities
  • Covariance matrix
  • Minimization of mutual information
  • Noise in SPECT images
  • Reduction of noise by minimization mutual information
  • Systematic uncertainties in SPECT imaging

ASJC Scopus subject areas

  • Computer Science Applications
  • Health Informatics

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