3D modelling
Technology that allows you to convert CT and MRI images to 3D models.
3d modelling provides an extra dimension to imaging and opens a better perception of patient-specific examination.3d modelling provides an extra dimension to imaging and opens a better perception of patient-specific examination.
Why 3D modelling
Accelerating surgery planning and simulation
Reinforcement of medical education and surgery training
Improvement of implant design
Conducting medical imaging research
Creating precise, patient-specific 3D-printed medical model
Precise image of 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 a 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.
Selected works
High-precision mesh generation
Coronary vessels are tiny structures the segmentation of which 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 visualization tools.
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 an analytic tool allowing explicit verification of mesh deviation from ideal segmentation. The vector field shows the place where the mesh deviates from the maximum gradient module.
Why Graylight Imaging
Algorithms developed by us automatically generate a 3D model and prepare the model for printing, while maintaining maximum print precision (the possibility to accurately create a 3D model tailored to the patient’s anatomy). Learn more
Ground-truth preparation – we have experience in creating high-quality segmentation based on diverse, large sets of image data. Segmentation is used as input for training neural networks in 3D medical image processing. Learn more
We are able to build algorithms from scratch that tackle the majority of issues that arise in the practice of accurately preparing geometry for 3D printing and maintaining high tolerance for medically important parameters. Learn more
Our experts create physical 3D modelling software and 3D printable models tailored to the patient’s needs and anatomy requirements. Learn more