Digital Anatomics is a company focused on the devolpment of solutions in the field of personalized medical surgeries, specially in the area of the spine. In this project we would like to explore the reconstruction of personalized spine models from 2D imaging. We are currently developing a neural netkwork for this reconstruction task. Using 3D Slicer as a tool for modeling and parameter measurement, we aim to apply the obtained information to perform precise patient curve measurements, simulate curve correction procedures, design detailed surgical plans, and assess post-operative outcomes. This approach will provide valuable insights to improve decision-making and enhance the precision of spinal surgeries.
We would like to generate a slicer extension that allows us to visualize and study the correlation between the 2D and 3D images and automatically obtain spine curve measurements.
Generate a custom layout for the joint visualization of:
a. Lateral XRay plus sagittal CT slices
b. AP XRay plus coronal CT slices
Automatically compute the landmarks for each vertebral segmentation
Next steps: ยท Compute the 3D curvature by interpolating the vertebral centers of mass and study the correlation with the 2D curvatures
3D reconstruction from 2D X-rays
Landmark detection and cobbs angle measurement
Curve correction simulation
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