Data for the assessment of the effect of repositioning in in vivo loading studies with Digital Volume Correlation

Link to the data used in:Giorgi, M., Dall'Ara, E. (2018)Variability in strain distribution in the mice tibia loading model: preliminary study using digital volume correlation. Medical Engineering and Physics 2018The images and data are too large to be uploaded in ORDA, so please contact [e-mail] or the Project Management Office at: [e-mail] if you are interested in working on the files.Only an example of a dataset has been uploaded.In the B-03-a folder the preloaded image (Scan1_crop.dcm) has been registered with three different files "Scan2_cop.dcm" that represent:01_Scan2_preload_REGwith_Scan1_load: registration between the second preloaded image and the first loaded image01_Scan2_preload_REGwith_Scan2: registration between the second preloaded image and the repeated image in the loaded configuration01_Scan2_preload_REGwith_Repositioning: registration between the second preloaded image and the image of the loaded specimen taken after repositioningIn the folder C-03-a-02-Nodes the results from the deformable registration are reported for each registration for Node Spacing of 50. Registrations have been done with ShIRT followed by the voxel detection algorithms as described in the paper."output_map.txt" reports the coordinates of the nodes of the grid and the computed displacements"results.txt" reports the principal strains in each node The whole dataset is stored in the University of Sheffield file-store at the link:https://web-unidrive.sheffield.ac.uk/shared/multisim2/WP7/Mario_Giorgi/DVC_Tibia_Precision_Study/

数据集链接见Giorgi, M. 与 Dall'Ara, E. (2018)发表的论文《小鼠胫骨加载模型中应变分布的变异性：数字体积相关性的初步研究》。由于数据量过大，无法在ORDA上上传，因此如需使用相关文件，请与[e-mail]或联系Insigneo组织的项目管理办公室[e-mail]。已上传的数据集仅为示例。在B-03-a文件夹中，预加载图像(Scan1_crop.dcm)已与三个不同的文件"Scan2_cop.dcm"进行配准，这些文件分别代表：
01_Scan2_preload_REGwith_Scan1_load：第二预加载图像与第一加载图像之间的配准
01_Scan2_preload_REGwith_Scan2：第二预加载图像与加载配置中重复图像之间的配准
01_Scan2_preload_REGwith_Repositioning：第二预加载图像与重新定位后加载标本图像之间的配准。在C-03-a-02-Nodes文件夹中，针对节点间距为50的每个配准，报告了可变形配准的结果。配准过程采用ShIRT算法，随后进行体素检测算法，具体方法见论文描述。"output_map.txt