Fast and accurate quantification using Genetic Algorithm optimized H-1-C-13 refocused constant-time INEPT
Data(s) |
2013
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Resumo |
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 Makela 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, Makela et al.) without compromising on accuracy. We also discuss a quantitative spectral editing technique based on average polarization transfer. (C) 2013 Elsevier Inc. All rights reserved. |
Formato |
application/pdf |
Identificador |
http://eprints.iisc.ernet.in/47341/1/jou_meg_ref-234_106-111_2013.pdf Manu, VS and Kumar, Anil (2013) Fast and accurate quantification using Genetic Algorithm optimized H-1-C-13 refocused constant-time INEPT. In: JOURNAL OF MAGNETIC RESONANCE, 234 . pp. 106-111. |
Publicador |
ACADEMIC PRESS INC ELSEVIER SCIENCE |
Relação |
http://dx.doi.org/10.1016/j.jmr.2013.06.013 http://eprints.iisc.ernet.in/47341/ |
Palavras-Chave | #NMR Research Centre (Formerly SIF) #Physics |
Tipo |
Journal Article PeerReviewed |