chinmay5/vessel_diffuse
Official code for the MICCAI 2024 paper "3D Vessel Graph Generation Using Denoising Diffusion"
This project helps medical researchers, neuroscientists, or radiologists working with 3D brain scans to create realistic, synthetic models of vascular networks. By inputting existing 3D vessel scan data, it generates new, unique 3D vessel graphs that mimic the complex structures and connectivity found in real brain vasculature. This is particularly useful for studying vessel topology, simulating blood flow, or training AI models without needing to access large volumes of sensitive patient data.
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Use this if you need to generate diverse, realistic 3D models of blood vessel networks for research or simulation purposes, especially when working with limited real imaging data.
Not ideal if you need to analyze specific patient scans or require direct clinical diagnostic tools, as this focuses on synthetic data generation rather than clinical image processing.
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Python
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Last pushed
Jun 26, 2024
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