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Image guidance for endovascular aortic repair (EVAR)

Abdominal aortic aneurysms are pathological dilations of the aorta that constitute the most frequent structural aortic disease in humans. The main complication is a rupture of the aneurysm, associated with high mortality due to massive internal bleeding.

To prevent rupture, elective repair of aneurysms at high risk is performed. This can be done via open surgery or via minimally invasive endovascular aortic repair (EVAR), during which stent grafts that exclude the aneurysm sac from blood flow are placed in the aorta. This procedure is aided by 2D fluoroscopy and digital subtraction angiography (DSA).

As a preoperative CT is generally available, image fusion with the live fluoroscopic images can be used to provide additional 3D information and reduce the use of contrast agent during the intervention. However, patient movement and deformations due to devices positioned in the aorta may cause inaccuracies in the overlay.

The current focus of this project is on the automatic detection of relevant structures in fluoroscopic images that may influence the deformation of the aorta and the corresponding modelling of these influences by deforming the 3-D overlay.

Project manager:
Prof. Dr.-Ing. habil. Andreas Maier, PD Dr. Markus Kowarschik, Dr. rer. nat. Marcus Pfister

Project participants:
Katharina Breininger, M. Sc.

Keywords:
image fusion; image guidance; endovascular; EVAR; aortic aneurysms; registration

Duration: 1.11.2015 - 31.10.2018

Sponsored by:
Siemens Healthcare GmbH, Forchheim

Contact:
Breininger, Katharina
Phone +49 9131 85 28977, Fax +49 9131 85 27270, E-Mail: katharina.breininger@fau.de

Institution: Chair of Computer Science 5 (Pattern Recognition)
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