ORMIR_XCT: A Python package for high resolution peripheral quantitative computed tomography image processing

Jupyter Notebook Python Submitted 08 September 2023Published 30 May 2024
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Editor: @prashjha (all papers)
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Authors

Michael T. Kuczynski (0000-0001-5671-1205), Nathan J. Neeteson, Kathryn S. Stok (0000-0002-0522-4180), Andrew J. Burghardt (0000-0002-6343-4944), Michelle A. Espinosa Hernandez (0000-0002-8279-9842), Jared Vicory (0000-0001-6041-5580), Justin J. Tse (0000-0002-5107-5884), Pholpat Durongbhan (0000-0002-5164-3482), Serena Bonaretti (0000-0003-4264-1773), Andy Kin On Wong (0000-0001-8540-8854), Steven K. Boyd (0000-0002-2930-5997), Sarah L. Manske (0000-0003-0888-9556)

Citation

Kuczynski et al., (2024). ORMIR_XCT: A Python package for high resolution peripheral quantitative computed tomography image processing. Journal of Open Source Software, 9(97), 6084, https://doi.org/10.21105/joss.06084

@article{Kuczynski2024, doi = {10.21105/joss.06084}, url = {https://doi.org/10.21105/joss.06084}, year = {2024}, publisher = {The Open Journal}, volume = {9}, number = {97}, pages = {6084}, author = {Michael T. Kuczynski and Nathan J. Neeteson and Kathryn S. Stok and Andrew J. Burghardt and Michelle A. Espinosa Hernandez and Jared Vicory and Justin J. Tse and Pholpat Durongbhan and Serena Bonaretti and Andy Kin On Wong and Steven K. Boyd and Sarah L. Manske}, title = {ORMIR_XCT: A Python package for high resolution peripheral quantitative computed tomography image processing}, journal = {Journal of Open Source Software} }
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XtremeCT HR-pQCT bone analysis

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