Chest CT Segmentation - Case study

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Jan. 16, 2023
Courtesy ofRSIP Vision

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

  • The RSIP Vision team leveraged its deep-learning based 3D CT auto-segmentation technology to deliver a customized, fast, robust, production quality solution

The outcome

  • Our core module has been integrated into our clients platform and is in clinical use
  • Used in 1000s of cases in hospitals worldwide
  • >99% segmentation success rate
  • 1mm-level segmentation resolution
  • 30 seconds running time on full-sized chest CT scan
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