Smart Bronchoscopy
Principal Investigator
Name
James Shen
Degrees
MS
Institution
Noah Medical Corporation
Position Title
Senior Software Engineer
Email
About this CDAS Project
Study
NLST
(Learn more about this study)
Project ID
NLST-708
Initial CDAS Request Approval
Sep 12, 2020
Title
Smart Bronchoscopy
Summary
We are developing a commercial smart bronchoscopy platform so that the user can get real-time navigation guidance when they perform bronchoscopy based on a patient specific CT scan prior to the procedure. The chest CT scans from the NLST dataset will be used to develop lung airway segmentation and navigation algorithms.
Aims
1. Manually label anatomical structures (eg airways) from CT dataset
2. Use labeled data to train machine learning models to detect these structures
3. Use labeled data to evaluate the machine learning models
4. Use labeled airway for simulation to generate virtual bronchoscopy images to test vision based navigation
Collaborators
Kyle Danna, Noah Medical Corporation