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Article Dans Une Revue International Journal of Computer Assisted Radiology and Surgery Année : 2013

Indicators for lumens distinction on 3D CT aortic dissection images

Résumé

Our works are related to the planning and assistance to manage aortic dissections during interventions. Aortic dissection is a life-threatening medical emergency associated with high rates of morbidity and mortality. It consists in one or several tears which begin in the intima allowing blood to travel through a diseased media layer. This process cleaves the normal bed of blood into two lumens (true lumen and false lumen) separated by an intimal membrane also called flap (Fig. 1(a)). See Fig. 1(b) and (c) for a 2D slice retrieved from one of our CT images. Recently, we have proposed a segmentation of the true and false lumens separately on 3D CT aortic dissection images [1] (see Tab. 1(b)). Our aim was to provide a 3D view of the lumens that we can difficultly obtain either by volume rendering or by another visualization tool which only directly gives the outer contour of the aorta; or by other segmentation methods because they mainly directly segment either only the outer contour of the aorta or other connected arteries and organs both. This segmentation was realized by modifying the speed term of the classical fast marching method. More particularly, the front propagation stops around intimal tears by dealing with intensity values (gradient). Our works consist in registering the segmented results from a CT aortic dissection image onto an angiographic sequence in order to assist clinicians during their interventions. An automatic lumen distinction allows us to propose a better control for endoprosthesis landing: the stent-graft trajectory must remain only inside the true lumen and not to pass through the false lumen. In this paper, we present two indicators to easily distinguish true and false lumens in our segmented results. More precisely, these indicators are also based on intensity.
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Dates et versions

hal-01704915 , version 1 (08-02-2018)

Identifiants

  • HAL Id : hal-01704915 , version 1

Citer

Nawel Fetnaci, Paweł Łubniewski, Bruno Miguel, Christophe Lohou. Indicators for lumens distinction on 3D CT aortic dissection images. International Journal of Computer Assisted Radiology and Surgery, 2013, 8 (1), pp.S271-S273. ⟨hal-01704915⟩
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