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Development of Advanced DICOM Viewer for Next-Generation Spinal Surgery Robotic System
  1. case
  2. Development of Advanced DICOM Viewer for Next-Generation Spinal Surgery Robotic System

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Development of Advanced DICOM Viewer for Next-Generation Spinal Surgery Robotic System

globaldev.tech
Medical
Information technology

Clinical Limitations in Surgical Robotics

Existing commercial robotic solutions for spinal surgery suffer from limited utilization, low clinical adoption rates, and insufficient technical capabilities to address complex surgical requirements. Current systems lack integration of advanced imaging technologies and specialized software tools required for precision spinal interventions.

About the Client

Swiss medical startup developing next-generation surgical robotic solutions for spinal surgery, backed by $9.4M series A funding and 6 registered patents

Key Development Goals

  • Develop a specialized DICOM Viewer for real-time MRI imaging during spinal surgery
  • Integrate advanced 3D visualization capabilities with robotic surgical systems
  • Enhance clinical utilization through improved surgical precision tools
  • Secure regulatory approvals for medical device software integration

Core System Requirements

  • High-resolution MRI image viewing with DICOM standard compliance
  • Real-time 2D/3D vector graphics rendering
  • Interactive surgical planning tools with 3D anatomical modeling
  • Integration with robotic system control interfaces
  • Multi-modality image fusion capabilities

Technology Stack Requirements

C++ application development
Qt/QML framework
VTK (Visualization Toolkit)
3D Math libraries
CMake build system
Eigen matrix library
Catch2 testing framework
OpenGL rendering
Python scripting

System Integration Needs

  • Sapien robotic surgery system API
  • Medical imaging equipment interfaces
  • Surgical navigation systems
  • Hospital PACS (Picture Archiving and Communication Systems)

Quality Attributes

  • Medical-grade software reliability (IEC 62304 compliance)
  • Real-time rendering performance (≥30 FPS for 3D views)
  • HIPAA-compliant data security measures
  • Scalable architecture for future AI integration
  • Low-latency image processing (<50ms delay)

Expected Business Impact

Enabling precision spinal surgeries through advanced imaging integration, potentially increasing clinical adoption rates by 40-60%, accelerating regulatory approvals for the Sapien system, and establishing LEM Surgical as a leader in next-generation surgical robotics with projected 25% market share growth in spinal surgery robotics segment within three years of product launch

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