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  • Webinar: Automated Segmentation and Design Workflows for Patient-Specific Surgical Guides

    Discussion in 'Webinars' started by synopsys_simpleware, Sep 5, 2022.

    1. synopsys_simpleware

      synopsys_simpleware Active Member

      Apr 2019
      Likes Received:
      Wed, Sep 28, 2022 4:00 PM - 5:00 PM BST

      In this webinar, experts from nTopology and Synopsys will demonstrate a seamless patient specific design workflow for a customized surgical guide that leverages AI-enabled patient image processing and design automation.

      Register here: https://register.gotowebinar.com/register/3232312822632785679?source=EC

      New technologies in the field of medical devices are making it possible to develop high-quality, fully customized 3D printed devices that make surgeries more efficient and improve patient outcomes. However, as demand for these highly customized devices grows, scaling the process to accommodate a higher throughput is limited by manual workflows that require significant labor and time. Two of the main time bottlenecks are segmentation - the process of converting 3D patient image data into surface models - and patient-specific design for additive manufacturing (DfAM) - the process of designing a 3D printed device based on the segmented patient anatomy.

      In this webinar you will learn:

      • How to efficiently convert 3D anatomical DICOM data into high-quality models using Simpleware software
      • How nTopology can create fully-featured and conformal patient-specific solutions using scan data and reference landmarks
      • How to automate the workflow and scale up to production levels


      • Kerim Genc - Business Development Manager, Synopsys Simpleware Product Group
      • Stephen Luke - Senior Applications Engineer, Synopsys Simpleware Product Group
      • Christopher Cho - Staff Application Engineer | Additive Manufacturing & Medical Device Design, nTopology

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