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. 2017 Oct 26;7:14084. doi: 10.1038/s41598-017-14625-0

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© The Author(s) 2017

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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Tumour selection and image analysis. A single lesion is chosen based on size and location from b-100 DWI images (right image) and a ROI is manually defined for each test-retest data set (middle image). A parametric map of ADC values is calculated for each pixel within the ROI (left image). For 3D volumes, the voxel ADC values within each slice ROI is combined and represented as a histogram (far left).