Fast and accurate quantification using genetic algorithm optimized 1H-13C refocused constant-time INEPT

V. S. Manu, Anil Kumar

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

Using Genetic Algorithm, a global optimization method inspired by nature's evolutionary process, we have improved the quantitative refocused constant-time INEPT experiment (Q-INEPT-CT) of Mäkelä et al. (JMR 204 (2010) 124-130) with various optimization constraints. The improved 'average polarization transfer' and 'min-max difference' of new delay sets effectively reduces the experimental time by a factor of two (compared with Q-INEPT-CT, Mäkelä et al.) without compromising on accuracy. We also discuss a quantitative spectral editing technique based on average polarization transfer.

Original languageEnglish (US)
Pages (from-to)106-111
Number of pages6
JournalJournal of Magnetic Resonance
Volume234
DOIs
StatePublished - Jan 1 2013
Externally publishedYes

Keywords

  • Genetic Algorithm
  • Quantification
  • Refocused-INEPT
  • Spectral simplification

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