This repository contains the Jupyter notebook and Python functions required for the following manuscript:
Saini, J., Ritchie, B., Hasselaar, C., White, N.J., Roach, K.E., and Manske, S.L. Three-Dimensional Morphology-Based Approaches for Measuring Dorsal Scaphoid Translation. Submitted to Clinical Biomechanics (June 2026)
The main Jupyter notebook and required Python functions are provided in the python-files folder. Sample meshes of two healthy controls and two participants with SLIL injury are provided in the sample-meshes folder.
To ensure the up-to-date libraries are being used in execution of the pipeline, the environment in the 3DCAP.yaml file must be created using the following prompt:
conda create --file /Volumes/ManskeLab/KRASL/3D_Carpal_Alignment_Pipeline/3DCAP-test.yaml
Techniques for the following carpal alignment measurements are provided in this pipeline:
- Scapholunate Angle
- Radioscaphoid Angle
- Radiolunate Angle
- Radiocapitate Angle
- Capitate-MC3 Angle
- Capitolunate Angle
- Capitate-Radius Index
- Scapholunate Intervals (Proximal, Palmar, Distal, Dorsal, and Central)
- Dorsal Scaphoid Translation Technique 1: Dorsal Tangential Line (DTL) Method
- Dorsal Scaphoid Translation Technique 2: Posterior Radioscaphoid Angle (PRSA) Method
Cite the code:
