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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.-Ing. habil. Stefan Steidl, PD Dr. Markus Kowarschik, Dr. rer. nat. Marcus Pfister
Project participants: Prof. Dr.-Ing. Katharina Breininger
Keywords: image fusion; image guidance; endovascular; EVAR; aortic aneurysms; registration
Duration: 1.11.2015 - 31.10.2019
Sponsored by: Siemens Healthcare GmbH, Forchheim
Contact: Breininger, Katharina Phone +49 9131 85 71154, E-Mail: katharina.breininger@fau.de
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Breininger, Katharina ; Albarqouni, Shadi ; Kurzendorfer, Tanja ; Pfister, Marcus ; Kowarschik, Markus ; Maier, Andreas: Intraoperative stent segmentation in X-ray fluoroscopy for endovascular aortic repair. In: International Journal of Computer Assisted Radiology and Surgery 13 (2018), No. 8, pp 1221–1231 [doi>10.1007/s11548-018-1779-6] | Breininger, Katharina ; Pfister, Marcus ; Koutouzi, Giasemi ; Kowarschik, Markus ; Maier, Andreas: Estimation of femoral artery access location for anatomic deformation correction. In: Martin Skalej ; Christoph Hoeschen (Ed.) : 3rd Conference on Image-Guided Interventions & Fokus Neuroradiologie (3rd Conference on Image-Guided Interventions & Fokus Neuroradiologie Magdeburg 06.-07.11.2017). 2017, pp 23-24. | Breininger, Katharina ; Würfl, Tobias ; Kurzendorfer, Tanja ; Albarqouni, Shadi ; Pfister, Marcus ; Kowarschik, Markus ; Navab, Nassir ; Maier, Andreas: Multiple Device Segmentation for Fluoroscopic Imaging Using Multi-task Learning. In: Stoyanov, Danail ; Taylor, Zeike ; Balocco, Simone ; Sznitman, Raphael ; Martel, Anne ; Maier-Hein, Lena ; Duong, Luc ; Zahnd, Guillaume ; Demirci, Stefanie ; Albarqouni, Shadi ; Lee, Su-Lin ; Moriconi, Stefano ; Cheplygina, Veronika ; Mateus, Diana ; Trucco, Emanuele ; Granger, Eric ; Jannin, Pierre (Ed.) : Intravascular Imaging and Computer Assisted Stenting and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis (Joint MICCAI-Workshops on Computing and Visualization for Intravascular Imaging and Computer Assisted Stenting (CVII-STENT) Granada, Spain 16.09.2018). Springer : Springer International Publishing, 2018, pp 19-27. |
Institution: Chair of Computer Science 5 (Pattern Recognition)
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