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.

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.

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

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.

Check the case study to see a detailed presentation of our method for accurately preparing geometry 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.

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 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.

verification of mesh deviation form vessel segmentation
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

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

Let’s work on your challenges together!

Contact us:

Let’s work on your challenges together!

Contact us: