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. 2017 Aug 18;7:8717. doi: 10.1038/s41598-017-08969-w

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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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MSERg, MACMI, SIFT and Intensity-based Registration comparison in terms of prostate capsule boundary DSC, landmark RMSD and tumor DSC with statistical significance analysis testing on the clinical test set. Greater DSC value and lower RMSD indicate better annotation alignment and thus a better registration result. Statistical significance testing was performed between each pair of methods with respect to MSERg in terms of capsule boundary DSC, landmark RMSD and tumor DSC. In 8 of the 9 different comparisons performed, MSERg statistically significantly (p < 0.05) outperformed the other methods for the cases in the clinical test set.