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Data_Paper_Cheong_2019.zip (1.64 GB)

Data used in the study "A novel algorithm to predict bone changes in the mouse tibia properties under physiological conditions"

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posted on 2019-11-25, 09:32 authored by Enrico Dall'AraEnrico Dall'Ara, Vee San CheongVee San Cheong
Link to the data used in:

Cheong VS, Campos Marin A, Lacroix D, Dall’Ara E (2019)

A novel algorithm to predict bone changes in the mouse tibia properties under physiological conditions; Biomechanics and Modeling in Mechanobiology, 2019.
DOI: 10.1007/s10237-019-01266-7


The zip folder includes examples of microCT images used in the methodology (.dcm) and the data processed in this study in ASCII format(.csv).


Zip file structure:

source_images

|_M1W0 : scan at week 14 of age of mouse M1

|_M1W2 : scan at week 16 of age of mouse M1

|_M1W6 : scan at week 20 of age of mouse M1

|_M1W8 : scan at week 22 of age of mouse M1

results

|_fig3

|_fig5

|_fig8


The naming conventions of the files are as follow:

sed: strain energy density

maxstrain: maximum principal strain

ssp14_lz0: subject-specific parameters from week 14, without lazy zone

ssp20_lz0: subject-specific parameters from week 20, without lazy zone

The source_images folder contain the aligned and cropped images for the right tibia of mouse 1 microCT scanned at weeks 0, 2, 6 and 8 of the experiment (weeks 14, 16, 20, 22 of age).


The full dataset is stored in the University of Sheffield file-store at the link:


https://web-unidrive.sheffield.ac.uk/shared/multisim2/WP4/boneremod/physiological_loading


For further information please contact Dr Enrico Dall'Ara: e.dallara@sheffield.ac.uk

Funding

This work was supported by the Engineering and Physical Sciences Research Council (EPSRC, MultiSim project, grant number: EP/K03877X/1) and the National Centre for Replacement, Refinement and Reduction of Animals in Research (NC3Rs, grant numbers: NC/K000780/1 and NC/R001073/1).

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    Department of Mechanical Engineering

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