Evaluating registrations of serial sections with distortions of the ground truths. Supplemental data

<strong>Evaluating Registrations of Serial Sections With Distortions of the Ground Truths</strong> This is the supplemental data for our paper on how to benchmark registrations of serial sections with ground truths. The files are named as follows: *_challenge.7z: local distortions and global rigid transformations applied, the input for the benchmark we used. Use this to test your rigid and non-rigid methods. *_local-only.7z: only local distortions applied. *_local-DIST.7z: the distortion maps for local distortions. *_SURF-rigid.7z: local distortions and global rigid transformations applied, rigid transformations undone with SURF-based rigid-only method. Local distortions remain. Use this if your method does not cope well with large rigid transformations. _*vis.7z: visualizations of distortions. _rigid_ground.7z: the real rigid transformations used in the global phase. *_ground.7z: the ground truth. All data fit each other, no distortions. Use this to compare your registration result to it. There are three main modalities and one further, as a reference: CT_*: µCT data, a rabbit lung, 600 images. (In ground truth, and local distortions, and global transformations we supply more images that went into the benchmark, 50 more from both beginning and end.) EM_*: an EM serial block-face (SBF-SEM) data set of adult mouse lung, 1000 images. (EM ground truth is individually normalized, see paper.) LS_*: a lung from the light sheet microscopy from a male 24 week-old rat, 300 images. (LS ground truth is individually normalized, too.) REAL_*: a region from real serial sections from a rabbit lung, 2 images. We also supply elastix parameter files. A preprint has been uploaded to arXiv. The definite version is available from IEEE. The source code of the distorter is available from GitHub.