Team, Visitors, External Collaborators
Overall Objectives
Research Program
Application Domains
Highlights of the Year
New Software and Platforms
New Results
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
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Section: New Results

Segmentation of aortic aneurism: collaboration with Nurea

Starting from February 2019, AMIES granted a one-year contract engineer in close collaboration with the Nurea start-up.

The main objective of the project is to improve the quality and the robustness of automatic segmentation of aortic aneurism. An important part of the work was to decide if patient data needed to be pre-processed or not. To do so a criteron was developed to apply or not a smoothing filter. Several filters were tested and their performance were compared in order to choose the filter the more appropriate to our problem.

Another issue was the bones wrongly taken into the segmentation. A cleaning function was created to deal with it and remove the bones from the segmentation. An usual issue when working with medical images is to deal with the gradient of intensity. Existing tools need to be adapted to take into account these variations within images. This is currently worked out.

The code is implemented in C++ and mostly relies on itk and vtk libraries. An example in figure 11.

Figure 11. Example of aortic aneurism segmentation. Left: CT scan image; Right: 3D visualization. Red: blood; green: aortic wall