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.