NUREA start-up

Website : http://nurea-soft.com

Nurea designs softwares simplifying surgeon decision process and patient follow-up. By automatizing medical images treatment and using powerfull algorithms developed during more than 10 years of research, Nurea is able to provide new relevant information to the surgeons. The software is completely integrated in the surgeon workflow making its use simple and intuitive with no effort. Thanks to our software, the surgeon saves time and the patient follow-up is enhanced. We first focus on aortic aneurism. The software allows the surgeon to easily visualize the evolution of the aneurysm through geometrical data but also pressures and stress due to the blood flow. We also integrate in our software, a prediction tool giving hints on how the aneurysm will evolve based on data classification of geometry and blood flow characteristics. The software is simple to use, intuitive and does not require any particular expertise in image processing, mathematics or modelisation such as other softwares on the market. The only task performed by the user is the loading of the images. All the information are then delivered automatically.

This start up is lead by Florian Bernard, who has an engineering degree from Enseirb-Matmeca. He gets a PhD in fluid dynamics from the mechanical and aerospace engineering department of Politecnico di Torino and a PhD in applied mathematics and scientific computing from University of Bordeaux.

Automatic Segmentation

In February 2019 Memphis gets funding from AMIES (Agence pour les mathématiques en intéraction avec l’entreprise et la société) for a one-year contract engineer in close collaboration with Nurea. His work consists in developing automatic segmentation of aortic aneurism.

Example of aortic aneurism segmentation. Left: CT scan image. Right: 3D visualization. Red: blood; green: aortic wall

 

Registration

A method was developed to perform the registration of 2 segmentations from the same patient, obtained at different times. The objective was to compare the 2 segmentations and see how and where the aneurism has evolved. The method relies on the Iterative Closest Point algorithm and consider the outer surface of the aneurism. The registration is performed on the portion of the aorta starting right below the aortic bifurcation and ending right above the renal arteries.

In the following example, we register 3 segmentations on the one obtained from the post-operative control scan. We can see that the aneurism had grown uniformly between 2019 and 2020.

White: first post-operative segmentation. Red: registered segmentation

An other way to see the evolution is to look at the displacement field:

White: the displacement is null. Blue: the displacement is negative (the aneurism has shrank). Red: the displacement is positive (the aneurism has grown)

Here is an example of an aneurism that has shrunk after 2 years:

White: first post-operative segmentation. Red: registered segmentation

White: the displacement is null. Blue: the displacement is negative (the aneurism has shrank). Red: the displacement is positive (the aneurism has grown)

For more information on this start up do not hesitate to send an email at : contact@nurea-soft.com

Lauréat Concours d’innovation Ilab 2019

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