True quantification of MT, CEST and NOE pools is difficult to achieve, as the exchanging pool size and exchange rate cannot be readily separated. Here we use a Particle Swarm Optimisation algorithm to solve this problem, which we show to be capable of quantifying pool size, exchange rate, and apparent T2s of exchanging pools without the need for initial guesses. We apply this to z-spectra acquired in vivo from the human brain, and quantify the exchanging pools in grey and white matter.
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