DOI: 10.5061/dryad.j0zpc86mc
title: CT reconstructions and 3D surface models of preserved impressions found on a Rijksmuseum terracotta sculpture

description: This dataset contains 3D micro Computed Tomography (CT) reconstructions
 (*.tiff files) and 3D surface models (Wavefront OBJ files) of preserved
 impressions found on the terracotta sculpture "Study for a Hovering
 Putto", dated between 1735 and 1750, and attributed to Laurent
 Delvaux (Gent, 17 January 1696 – Nivelles, 24 February 1778, Rijksmuseum,
 BK-NM-9352). The preserved impressions are fingermarks and toolmarks,
 which we analyse in the manuscript "Artist profiling using micro-CT
 scanning of a Rijksmuseum terracotta sculpture" by Sero et al. (DOI:
 10.1126/sciadv.adg6073). Folder names correspond to the names assigned to
 each impression in the manuscript. Each folder contains a stack of *.tiff
 files and a "Segmentation.obj", which is the 3D model obtained
 from Otsu's segmentation method in Slicer3D. The stack of *tiff files
 and the 3D models can be visualized together in Slicer3D.
description: We acquired the projection images at the FleX-ray Lab (Centrum
 Wiskunde & Informatica), which is supported by TESCAN-XRE NV. We
 performed the 3D reconstructions in the same facility. We implemented 3D
 CT reconstructions in Python version v3.6, ASTRA v2.1.0, FleXbox
 v1.0.0. We convert each grayscale intensity image into
 a binary image using Otsu’s segmentation method, which finds the threshold
 that minimizes the intra-class variance of the thresholded black and white
 pixels. We then convert the grayscale image into a binary one according to
 the computed threshold. We then load the stack of binary images in
 Slicer3D, where the triangular surface mesh is generated, and we export to
 model file (Wavefront OBJ format).
description: The stack of *tiff files and the 3D models can be visualized
 together in Slicer3D. The 3D models can be also visualized in
 MeshLab.
description: This dataset contains 3D micro Computed Tomography (CT) reconstructions
 (\*.tiff files) and 3D surface models (Wavefront OBJ files) of preserved
 impressions found on the terracotta sculpture "Study for a Hovering
 Putto", dated between 1735 and 1750, and attributed to Laurent
 Delvaux (Gent, 17 January 1696 Nivelles, 24 February 1778, Rijksmuseum,
 BK-NM-9352). The preserved impressions are fingermarks and toolmarks,
 which we analyse in "Artist profiling using micro-CT scanning of a
 Rijksmuseum terracotta sculpture" by Sero et al. ([DOI:
 10.1126/sciadv.adg6073](https://doi.org/10.1126/sciadv.adg6073)). Folder
 names correspond to the names assigned to each impression in the
 manuscript. Each folder contains a stack of \*.tiff files and a
 "Segmentation.obj" file, which is the 3D model obtained using
 Otsu's segmentation method in Slicer3D. The stack of \*tiff files and
 the 3D models can be visualized together in Slicer3D. The 3D models can be
 also visualized in MeshLab. We acquired the projection images at the
 FleX-ray Lab (Centrum Wiskunde & Informatica), which is supported
 by TESCAN-XRE NV. We performed the 3D reconstructions in the same
 facility. We implemented 3D CT reconstructions in Python version v3.6,
 ASTRA v2.1.0, FleXbox v1.0.0. We convert each grayscale intensity image
 into a binary image using Otsus segmentation method, which finds the
 threshold that minimizes the intra-class variance of the thresholded black
 and white pixels. We then convert the grayscale image into a binary one
 according to the computed threshold. We then load the stack of binary
 images in Slicer3D, where the triangular surface mesh is generated, and we
 export to model file (Wavefront OBJ format).