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Image-guided Lung Intervention

Principal Investigator
Name
Jesse Mao
Institution
Intuitive Surgical
Position Title
Test Engineer
Email
About this CDAS Project
Study
NLST (Learn more about this study)
Project ID
NLST-134
Initial CDAS Request Approval
Apr 17, 2015
Title
Image-guided Lung Intervention
Summary
We are developing a commercial image-guided robotic system for transbronchial lung biopsy and a commercial system to enable image guided surgery on da Vinci systems. We are using the CT data in the NLST dataset to help develop detection/segmentation algorithms to enable image guided interventions.
Aims

1. Manually label anatomical structures from CT dataset.
2. Use the manual labels to evaluate the automatic and semi-automatic detection and/or segmentation algorithms.
3. Use the manual labels to train machine learning models to detect and/or segment certain anatomical structures.
4. Use the CT images for other algorithm research and development.

Collaborators

Tao Zhao, Intuitive Surgical