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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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Illustration of a clinical registration case. (a), (f) are the fixed and moving images with landmarks annotated by the pathologist and the radiologist. The tumor ROI annotations on the pathology image are made by the pathologist and the corresponding tumor ROI on the MRI are mapped from pathology annotations obtained via manual registration. (b), (g) show the registration results of intensity-based registration; (c), (h) of MACMI, (d), (i) of MSERg and (e), (j) of SIFT, respectively. The light blue lines in panels (b–e) illustrate the tumor ROI on a T2-weighted MRI slice and the magenta lines highlight the corresponding ROI on the transformed pathology image. (g–j) illustrate the landmark alignment results where the cyan colored landmarks represent those identified on the MRI, while the yellow colored landmarks represent those corresponding locations on the transformed pathology image. The dark blue lines in (g–j) illustrate the capsule boundary on MRI.