The challenge
- An industry leading medical device company required the capability to automatically generate an accurate 3d model of complex patient-specific anatomies
- The anatomical model was needed for planning challenging surgical navigation procedures
- The pre-existing solution was slow and not robust, requiring extensive and time-consuming manual editing by the interventionist
Our approach
- RSIP Vision leveraged its deep-learning based 3d CT auto-segmentation technology to deliver a customized, fast, robust, production quality solution
The outcome
- Core module integrated in client platform and is in clinical use
- Used in 1000’s of cases in hospitals worldwide
- >99% segmentation success rate
- 1mm-level segmentation resolution
- 30 seconds running time on full-sized chest CT scan
