Interventional planning and assistance for ascending aorta dissections

Christophe Lohou (1) , Pawel Lubniewski (1) , Nawel Fetnaci (1) , Hélène Feuillâtre (2) , Jonathan Courbon (1) , Vincent Sauvage (1) , Jean-Yves Boire (1) , Louis Boyer (1) , Lionel Camilleri (1) , Lucie Cassagnes (1) , Pascal Chabrot (1) , Bruno Miguel (1) , Laurent Sarry (1)

1 ISIT - Image Science for Interventional Techniques
2 LTSI - Laboratoire Traitement du Signal et de l'Image

In this paper, we present our global image processing framework of interventional planning and assistance for ascending aorta dissections. The preoperative stage of that framework performs the extraction of aortic dissection features in Computed Tomography Angiography (CTA) images. It mainly consists of a customized fast marching segmentation. The intraoperative stage of that framework realizes medical images registration and proposes data visualization enhancement; standard X-ray fluoroscopic images are used as the reference modality. We use our recently introduced registration method based on image transformation descriptors (ITDs) and usual 3D/2D techniques (based on digitally reconstructed radiographs). The first stage provides aortic dissection features and is to help clinicians for the planning. The second stage provides an augmented reality visualization and would be used for assistance during the intervention. As far as we know, this is the first complete image processing framework which focuses on the ascending aorta dissection (minimally invasive) endovascular treatment.

Domains: Computer Science [cs]; Medical Imaging; Engineering Sciences [physics]; Signal and Image processing; Computer Science [cs]; Signal and Image Processing

Christophe Lohou, Pawel Lubniewski, Nawel Fetnaci, Hélène Feuillâtre, Jonathan Courbon, et al.. Interventional planning and assistance for ascending aorta dissections. Innovation and Research in BioMedical engineering, 2013, http://dx.doi.org/10.1016/j.irbm.2013.07.006. ⟨10.1016/j.irbm.2013.07.006⟩. ⟨hal-00865128⟩