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High resolution peripheral quantitative computed tomography (HR-pQCT) is animaging technique capable of imaging trabecular bone in-vivo. HR-pQCT has awide range of applications, primarily focused on bone to improve ourunderstanding of musculoskeletal diseases, assess epidemiological associations,and evaluate the effects of pharmaceutical interventions. Processing HR-pQCTimages has largely been supported using the scanner manufacturer scriptinglanguage (Image Processing Language, IPL, Scanco Medical). However, byexpanding image processing workflows outside of the scanner manufacturersoftware environment, users have the flexibility to apply more advancedmathematical techniques and leverage modern software packages to improve imageprocessing. The ORMIR_XCT Python package was developed to reimplement someexisting IPL workflows and provide an open and reproducible package allowingfor the development of advanced HR-pQCT data processing workflows.

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