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US-CT Vertebra Registration
Key Investigators
- Houssem Gueziri (Montreal Neurological Institute, Montreal, Canada)
- Tamas Ungi (Queen’s University, Kingston, Canada)
Project Description
This project aims at evaluating the feasibility of percutaneous US to CT image registration, on a porcine dataset, for minimally invasive spine surgery. The goal is to combine the registration method for open surgery implemented in IBIS with the segmentation/bone enhancement method in AIGT.
Objective
- Read/Write US data acquired with IBIS into Slicer.
- Segment the vertebral surface of US data obtained from porcine cadavers
- Register segmented images with CT images
Approach and Plan
- Convert the data from IBIS acquisitions to ultrasound sequences
- Generate ground truth segmentation from CT images
- Use AIGT to train model for axial image segmentation - Video tutorial
- Use segmented data with IBIS registration and evaluate registration
Progress and Next Steps
- Align US images with CT using ground truth transform and export data as Sequences readable in Slicer
- Segment data using pre-trained model
- Generate ground truth segmentation and train model [TODO]
- Segment data with fine-tuned model [TODO]
Illustrations
Data processing workflow:
Generate aligned CT-US data:
Segmentation with pre-trained model:
