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. 2019 Jun 25;9:9259. doi: 10.1038/s41598-019-45710-1

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© The Author(s) 2019

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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SNR as a function of the number of repeated acquisitions. The mean SNR obtained using AOC and S/N² Weighting for PUFA spectra acquired from five patients is plotted as a function of the number of repeated acquisitions. Baseline SNR is also shown. The dotted line shows the maximum average baseline SNR (SNR = 10.4) and maximum average SNR using S/N² Weighting (SNR = 14.1) after averaging for 256 acquisitions. To achieve the same SNR using AOC, the acquisition time can be reduced to 28% (6–43%) compared to baseline. If noise correlation is not ignored, the acquisition time can be reduced to 68% (46–72%) (1.5 times faster) compared to S/N² Weighting. Values are given as median and range in parenthesis. Standard errors for each line are shown in Supplementary Fig. S2a,b.