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3D Slicer Lung CT Segmentation
Key Investigators
- Rudolf Bumm (KSGR)
- Ron Kikinis (Brigham and Women’s Hospital)
- Raúl San José Estépar (Brigham and Women’s Hospital)
- Steve Pieper (Isomics)
- Eserval Rocha jr. (University of Sao Paulo Medical School)
- Andras Lasso (Perk Labs)
- Curtis Lisle (KnowledgeVis)
Project Description
This is a follow-up to previous 3D Slicer lung CT segmentation PW projects.
Objective
Our objective is to improve the lung CT segmentation and analysis processes in 3D Slicer.
- Improve vessel segmentation
- Implement emphysema and COPD analysis
- Develop a concept for lung segment segmentation in 3D Slicer
- Fine-tune the workflow for surgical planning
- Work on possible grant application
Specific Approach and Plan
- make lung, lobe, and airway segmentation fully automatic (no manual intervention)
- write a batch script that makes use of the LCTA logic
- test the script on the OpenSourceCovidDatabase
- evaluate results and compare them to radiology score
- discuss strategies for vessel segmentation and segment detection
Progress and Next Steps
Illustrations
will follow
Background and References
Lung CT Analyzer extension
Open Source COVID Database