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HR-pQCT cross-calibration using standard vs. Laplace-Hamming binarization approach
Saghi Sadoughi1, Aditya Subramanian1, Gabriella Ramil1
1Bone Quality Research Lab, Department of Radiology and Biomedical Imaging, University of California, San Francisco, 185 Berry St., Suite 350, San Francisco, CA 94107, United States.
Cross-calibrating high-resolution peripheral quantitative computed tomography (HR-pQCT) scanners is crucial for comparing bone microarchitecture data. This study developed equations to estimate second-generation (XCTII) measurements from first-generation (XCTI) data, improving data comparability.
Area of Science:
- * Medical Imaging
- * Bone Biology
- * Biomedical Engineering
Background:
- * High-resolution peripheral quantitative computed tomography (HR-pQCT) is vital for assessing bone microarchitecture.
- * Transitioning between HR-pQCT scanner generations (XCTI to XCTII) complicates longitudinal and multi-center studies.
- * Cross-calibration is essential for integrating data from different HR-pQCT devices.
Purpose of the Study:
- * To establish cross-calibration equations for estimating XCTII HR-pQCT measurements from XCTI data.
- * To compare standard vs. Laplace-Hamming (LH) binarization for XCTII data when cross-calibrating with XCTI.
- * To facilitate the comparison and utilization of historical HR-pQCT bone data.
Main Methods:
- * Scanned radii and tibiae of 36 volunteers on both XCTI and XCTII HR-pQCT scanners.
- * Analyzed XCTI images using the standard protocol.
- * Analyzed XCTII images using both standard and Laplace-Hamming (LH) binarization methods.
- * Employed linear regression to derive cross-calibration equations.
Main Results:
- * Strong correlations were found between XCTI and XCTII for bone density and geometry outcomes.
- * Most microstructural outcomes showed strong correlations despite absolute value differences.
- * The LH binarization approach for XCTII improved correlations and reduced bias for resolution-sensitive measures compared to the standard XCTII protocol when compared to XCTI data.
Conclusions:
- * Cross-calibration equations enable the estimation of XCTII measurements from XCTI data.
- * The Laplace-Hamming (LH) binarization method is recommended for XCTII analysis, especially for comparing with XCTI data.
- * Utilizing the LH approach enhances accuracy and comparability of bone microarchitecture data across HR-pQCT scanner generations.
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