Framework for Automated Conversion of Medical Imaging Data into 3D Printable Models

The client faces difficulties in efficiently processing complex and irregular human anatomical data from MRI, CT, or Ultrasound imaging to produce precise 3D printed models. Existing workflows are time-consuming, prone to errors, and lack automation, which hampers rapid surgical planning, training, and case-specific rehearsals.

A mid to large-sized medical device company specializing in advanced surgical planning tools and training solutions utilizing 3D printing technology.

• Reduce time required for converting medical imaging data into 3D printable models to under 30 minutes per case.
• Automate segmentation and processing of DICOM images to improve accuracy and consistency.
• Develop a flexible system that can adapt to evolving medical imaging standards and printing techniques.
• Streamline order and request management workflows for efficient case handling.
• Enable detailed visualization and analysis of 3D models to support surgical planning and training.
• Maintain compatibility with existing imaging and printing infrastructure to facilitate rapid deployment and commercialization.

• Import and upload of DICOM series, ultrasound, or other medical imaging data.
• Precise selection and segmentation of regions of interest (organs or anatomical structures).
• Automated segmentation and analysis of imaging data to create accurate 3D models.
• Generation of STL files optimized for 3D printing.
• Visualization modules including detailed DICOM viewers and STL model inspection tools.
• Mapping 3D masks over organ images for enhanced precision.
• Order management system to facilitate request processing and tracking.
• Procurement and fulfillment workflow tools for managing production and delivery of physical models.
• Training workshop processing modules tailored for case-specific rehearsals.

• Medical imaging data repositories (PACS or similar) for data retrieval
• 3D printing hardware interfaces or APIs for direct model fabrication
• Laboratory information systems or order management platforms for request tracking

• System should process imaging data and generate STL files within 30 minutes per case.
• Ensure data security and compliance with medical data regulations (e.g., HIPAA).
• Scalable architecture to handle increasing imaging volumes and user base.
• High system availability with minimal downtime, aiming for 99.9% uptime.
• Robust error handling and audit trails for regulatory compliance.

By automating and streamlining the conversion of medical imaging data into 3D printable models, the new system aims to significantly reduce processing times, enhance accuracy, and improve workflow efficiency. This can lead to faster surgical preparations, more effective training, and a competitive edge in the medical training and preoperative planning markets. The projected reduction in conversion time to under 30 minutes per case and improved process automation are expected to enable rapid deployment, wider adoption, and increased revenue opportunities.