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

作者：Manu V S^*; Kumar Anil

来源：Journal of Magnetic Resonance, 2013, 234: 106-111.

DOI：10.1016/j.jmr.2013.06.013

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

Using Genetic Algorithm, a global optimization method inspired by nature%26apos;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 %26apos;average polarization transfer%26apos; and %26apos;min-max difference%26apos; 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.

• 出版日期2013-9