10.18710/DKVPIJ Rørtveit, Øyvind Lunde Øyvind Lunde Rørtveit https://orcid.org/0000-0001-6545-663X University of Bergen DataverseNO 2023 Medicine, Health and Life Sciences Radiotherapy Prostatic Neoplasms Rectum Contours Deformable registration University of Bergen Rørtveit, Øyvind Lunde Øyvind Lunde Rørtveit University of Bergen Hysing, Liv Bolstad Liv Bolstad Hysing Pilskog, Sara Sara Pilskog Ekanger, Christian Christian Ekanger Thor, Maria Maria Thor 2023-10-02 2023-11-06 2007-01-01/2009-12-31 Clinical data 10.1088/1361-6560/ACB8FC 10.1002/MP.15262 10.1016/J.RADONC.2018.06.004 10.1016/J.ADRO.2019.11.007 10.18710/DKVPIJ/LXAX2P 10.18710/DKVPIJ/3JCJRP 10.18710/DKVPIJ/MAZ6NH 166986184 151134058 9089 application/zip application/matlab-mat text/plain 1.0 Creative Commons CC0 1.0 Universal Public Domain Dedication. Contours of the recti of 37 prostate cancer patients from Haukeland University Hospital years 2007-2009. The patients were part of a study on hypofractionated radiotherapy with integrated boost, as desribed in Ekanger et al. (2018). The data is now fully anonymous, as the identification keys have been deleted. Each patient had a planning CT plus 6-10 CT repeat CT scans taken during the course of radiotherapy. The rectum was delineated on every scan by an expert physicist. The contours are represented as polyhedra, where each shape contour consist of a set of of 18063 points, with x, y and z-coordinates, on the organ surface. The points are tied together by 36168 triangular faces. The definition of of the triangular faces are given by an array of indices into the arrays of contour points. All contours have been deformably registered to a reference shape; therefore, there is point-to-point correspondence between all shapes in the dataset. This makes the data ideal for statistical modelling. This data was used in the models of Rørtveit et al. (2021) and Rørtveit et al. (2023). A description of the patients, treatment and imaging is given in Hysing et al. (2018). Two representations of the data are available in this dataset; firstly a Matlab .mat file which contains all the data. For users who do not use Matlab, the data is also made available as text files in the form of comma separated values. Matlab, R2020a Matterhorn, v.16 Haukeland University Hospital, Bergen, Norway