Cervical Functional Spine Units Multi-Validation Dataset ======================================================== TARSUSLUGIL S.M., MENGONI M., WILCOX R.K., UNIVERSITY OF LEEDS, 2015, CC-BY LICENSE This data and related software toolboxes (see related resources) permit the reproduction of the results discussed in NAME_OF_PUBLICATION 8 cervical FSU from 5 ovine spines For each FSU, data (named with consistent 4-digit number XXXX) consists of: - DICOM files of microCT scan (in a .zip archive): FSUXXXX_dicom.zip - instron displacement/load raw data (csv file): FSUXXXX_instron.csv in a .zip archive: ovineFSU_rawInstrondata.zip - teksan data (fsx files): FSUXXXX.fsx in a .zip archive ovineFSU_tekscanData.zip - set of photos images taken during testing (jpg files numbered with increasing testing time): FSUXXXX_testingPhotos.zip - processed instron, tekscan recording, and facet displacement measured from images (xls file): FSUXXXX_processedExp.xls in a .zip archive: ovineFSU_processedExpData.zip - abaqus cae (abaqus 6.14, SIMULIA Dassault Systeme) file of the base assembly: FSUXXXX.cae in a .zip archive: ovineFSU_abqCaeFile.zip - processed files for each output value and each model type: *_FSUXXXX_*.ascii in a .zip archive: ovineFSU_abqProcessedOutputFiles.zip The experimental data is completed with: - a python script to partially pre-process abaqus models: assembleFSU.py - a python script that creates and run an abaqus model for each type of annulus material and run the post-processing function: createFSUModels.py - a python script to post-process abaqus results with the postPro4Abq toolbox (see related resources): FSUPostPro.py Procedure to reproduce the results: 1/ Prepare abaqus input files from images following the procedure described in the methods section of the associated publication (or use inp files provided): - transform dicom files into grey-scale tiff files. In our case this is done in matlab, rescaling the grey-scale of each CT slice so that the maximum HU value of the CT (32767) corresponds to 255 and negative HU values are considered to be noise and assigned a 0 greyscale. - import tiff file into scanIP and follow the described methods 2/ Modify as needed and run assembleFSU.py with abaqus cae (see file header) Manual modifications defining contact surfaces and material orientations are also required 3/ Modify as needed and run createFSUModels.py with abaqus cae (see file header) Detail of each specimen FSU2612: spine 1, level C3-C4, breed: Texel 4-5 year old, computational model run to 0.12 mm only FSU2615: spine 1, level C6-C7, breed: Texel 4-5 year old FSU2616: spine 2, level C3-C4, breed: Texel 4-5 year old FSU2617: spine 2, level C5-C6, breed: Texel 4-5 year old FSU2627: spine 3, level C3-C4, breed: Texel 4-5 year old FSU2628: spine 3, level C5-C6, breed: Texel 4-5 year old FSU2634: spine 4, level C3-C4, breed: Texel 4-5 year old FSU2635: spine 5, level C2-C3, breed: Texel 4-5 year old