Project: Simulation of Spine Curve Correction Through 3D Reconstruction Techniques and Parameter Measurement

[mordieres]

Draft Status

Ready - team will start page creating immediately

Category

Segmentation / Classification / Landmarking

Key Investigators

• Cristina Soriano (Digital Anatomics SL, Spain)
• Maria Ordieres (Digital Anatomics SL, Spain)
• Javier Pascau (Universidad Carlos III de Madrid, Spain)

Project Description

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.

Objective

1. Obtain DRR projections from CT scans for the obtention of paired training data
2. Obtain precision measurmets for the 3D reconstructions (specially focused on the pedicle region)
3. Automatize landmark indentification on the 2D image for the Cobbs angle measurment and study the correlation with the reconstructed vertebrae curvature

Approach and Plan

TBD

Progress and Next Steps

TBD
2. Describe specific steps you have actually done.

Illustrations

Background and References

No response

[github-actions]

Project Page Pull Request Creation

✅ COMPLETED: See #1391