Visualisation

3D Visualisation for Surgical Planning

Solving complex image processing challenges.

 

The Challenge:

Computer-based surgical planning requires tools and techniques for the automatic and semi-automatic modeling of widely varying human anatomy and pathology. Accurate and reliable modeling is required for the diagnosis of surgical issues and the subsequent quantitative planning of surgical procedures and implant designs/sizes. Going into the operating room with reliable knowledge around the surgical procedure contributes greatly towards improved outcomes

The Solution:

Stone Three Healthcare developed 3D modeling solutions and methods that utilise, for example, DICOM data to deliver a surgical planning solution. Stone Three Healthcare engineers are developing model-based image analysis algorithms and visualization-focused interaction techniques with which patient anatomy and pathology can be accurately extracted from medical imaging data. Based on this, surgical joint replacement procedures can be planned more accurately than is possible using most current workflows

The Outcome:

Stone Three Healthcare is currently working on a long-term project with an international orthopedic solutions provider to develop new computer-based surgical planning systems that have the potential to significantly improve current surgical efficiency and post-operative outcome.

Context:

  • Clinical Workflows
  • Machine Learning
  • Regulatory Compliance
  • Healthcare interoperability

Engineering:

  • Digital Signal Processing
  • Machine vision
  • Back-end development
  • Scalable architectures