Computational fluid dynamics

Harnessing the power of CFD to

solve complex clinical problems.

Benefit from biofluid mechanics modelling that facilitates breakthroughs in personalized medicine.

 

computational fluid dynamics page

Why CFD

  • The computational fluid dynamics method (CFD) allows you to address extremely challenging and clinically relevant problems in real-life physiologic geometries. The haemodynamics of blood flow in the cardiovascular system is the area where CFD can be especially used. Examples include: coronary arteries (assessment of stenosis), aortic aneurysms, aneurysms of cerebral arteries, implanted medical devices (e.g. stents, stent grafts, left ventricular assist devices, and totally artificial heart).
  • In the medical device or life science industries the simulation may be used to provide additional digital information. Computational methods help reduce the time and cost required in the regulatory approval process since credible digital evidence has been accepted by FDA.
  • This method can help you optimize designs and improve medical devices. Computations and simulations can predict the device’s performance before building it, resulting in better patient outcomes.

Selected works

AI-enhanced CFD assessment of CAD in CCTA

We tackled issues related to coronary artery disease diagnosis and monitoring and introduced an end-to-end deep learning-powered pipeline for automated analysis of coronary computed tomography angiography which additionally exploits computational fluid dynamics to capture the functional vessel characteristics. Our experiments, performed over clinically acquired scans, revealed that our segmentation approach (that takes advantage of centerlines instead of performing full manual segmentation) not only outperforms state-of-the-art nnU-Nets, but also leads to the blood-flow parameters which are in substantial agreement with those elaborated for the ground-truth delineations.

Here green streamlines are Ground Truth (GT), red: Centerlines (CL) straightened, and blue is nnUnet. Flow is steady and driven by the same pressure. Blue streamline is significantly faster. We consider the coronary tree from the inlet to the points where the diameter is 1.5mm.

Computing hemodynamic parameters

Hemodynamic parameters such as velocity, pressure, vortices, wall shear stress can be computed during computer simulation and so on and are considered for the characterization of flow field. Results showed that the vortex location, inflow area depend strongly on even a subtle changes of vessel geometry.

computational fluid dynamics figure
image of Graylight Imaging computational fluid dynamics

Blood flow simulation in cerebral aneurysm

computational fluid dynamics

Vortex structure reveals abnormal areas where flow detachment occurs

Why us

  • The application of CFD in medicine requires a strong understanding of anatomical, physiological, physical and engineering principles. We have an interdisciplinary team onboard, consisting of engineers, computer scientists, medical professionals and physicists ready to conquer your challenges.
  • We follow best practices, verification and validation guidelines (VVUQ, ASME, FDA) to ensure accuracy and credibility as well as compliance needed for the formal approval process if required.

Learn more about our competences

Automatic, precise segmentation of the coronary arteries

Segmentation of the thoracic aorta in contrast enhanced CT images

3D modelling of brain aneurysm

Automatic and seamless connections for brain aneurysm mesh

Let’s work on
your challenges together!

Contact with us:

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