3D modelling

Technology that allows you to convert CT and MRI images to 3D models

3d modelling provides an extra dimension to imaging and open a better perception of patient-specific examination.

Why 3D modelling

  • Accelerating surgery planning and simulation
  • Reinforcement medical education and surgery training
  • Improvement implant design
  • Creating precise, patient specific 3d printed medical model
  • Conduct medical imaging research
  • Precise reflecting the patient’s anatomy

3D printing and additive manufacturing

Thanks to 3D printing and additive manufacturing medical companies can create exact patient-specific models. The key aspect is that the preparation of 3d model must be fully automatic – on the other hand, the basic requirement is to ensure the maximum precision of such a printout to reflect the patient’s anatomy as accurately as possible.

We have experience working on precise STL (stereolithography, standard triangle language creation) for 3D printing.

Check the case study in which our approach to precise geometry preparation for 3D print is presented in detail.

Selected works

High precision mesh generation

Coronary vessels are tiny structures whose segmentation requires special techniques. One aspect relates to the high precision reconstruction of complex geometry. We use state-of-the-art algorithms to generate and process meshes, including conversion from a sparse, high-resolution representation of voxels using VesselEngineTM. Our data is ready for both physical modelling and visualisation tools.

reconstruction of coronary vessel geometry and calcified plaques
reconstruction of coronary vessel geometry and calcified plaques
reconstruction of coronary vessel geometry and calcified plaques
reconstruction of coronary vessel geometry and calcified plaques

3D mesh modeling and analysis

Efficient implicit mesh representation

Mesh operations

3d Mesh modeling and analysis

 

Mesh reconstruction is based on an interplay between an anatomic prior: vessel walls should be straight and noisy image data. Below we show an example of a analytic tool allowing for explicit verification of mesh deviation form ideal segmentation. Vector field show placed where the mesh deviates from maximum of gradient module.

verification of mesh deviation form vessel segmentation

Let’s work on
your challenges together!

Contact with us:

T: +48 609 995 887
E: purbanski@graylight-imaging.com