Fast and accurate quantification using Genetic Algorithm optimized 1H-13C refocused constant-time INEPT.

Anil Kumar, V S Manu

Journal: Journal of magnetic resonance (San Diego, Calif. : 1997) 2014;234():106-11

PMID: 23871897

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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.

Address: Department of Physics and NMR Research Centre, Indian Institute of Science, Bangalore 560 012, India. [email protected]

DOI: 10.1016/j.jmr.2013.06.013

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MeSH Terms: Algorithms, Carbon Isotopes, Magnetic Resonance Spectroscopy, Organic Chemicals, Protons, Stochastic Processes