Joint space image erosion

Joint space image erosion reduces a dilated three-dimensional binary joint segmentation using a ball structural unit. Connected-component analysis is then used to create the joint space mask and a dilated joint space mask.

Function¶

To create the joint space masks, use the following function:

jsw_erode(dilated_image,
    pad_image)

Input settings¶

HR-pQCT

PCD-CT

µCT

dilated_image: Dilated binary image of the joint segmentation
pad_image: Padded binary image of the joint segmentation

Further information about the function and its inputs can be found here (tbd).

Examples and workflows¶

HR-pQCT

PCD-CT

µCT

Examples of how to use joint space image erosion:

Finger_Joint_Comparison.ipynb

Workflows that include joint space image erosion:

JSW analysis workflow

Citation¶

HR-pQCT

PCD-CT

µCT

We used the method implemented in ORMIR-XCT Kuczynski et al. (2024)

References¶

Kuczynski, M. T., Neeteson, N. J., Stok, K. S., Burghardt, A. J., Hernandez, M. A. E., Vicory, J., Tse, J. J., Durongbhan, P., Bonaretti, S., Wong, A. K. O., Boyd, S. K., & Manske, S. L. (2024). ORMIR_XCT: A Python package for high resolution peripheral quantitative computed tomography image processing. Journal of Open Source Software, 9(97), 6084. 10.21105/joss.06084