uncbiag/OAI_analysis_2
Image analysis approaches to analyze the OAI magnetic resonance images
Implements automated 3D cartilage segmentation and thickness measurement using a PyTorch-based UNet, with deep learning-based atlas registration via uniGradICON to enable spatial correspondence analysis. The pipeline integrates ITK for image I/O, VTK for mesh processing, and produces 2D thickness maps through cylindrical unrolling (femoral) and planar projection (tibial) for standardized statistical analysis of knee osteoarthritis progression.
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Dec 19, 2024
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