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:
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