Abstract
The use of the endovascular prostheses in Abdominal Aortic Aneurysm (EVAR) has proven to be an effective technique to reduce the pressure and rupture risk of aneurysm. Nevertheless, in a long term perspective different complications such as prostheses displacement or leaks inside the aneurysm sac (endoleaks) could appear causing a pressure elevation and increasing the danger of rupture consequently. At present computed tomographic angiography (CTA) is the most commonly used examination for imaging surveillance for stent graft monitoring. However, endoleak complications can not always be detected by visual inspection on CTA scans. The purpose of this work was to study the application of image registration techniques to the detection of changes in the stent graft. Previously we segment the lumen using semi-automatic methods.
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Maiora, J. et al. (2009). Stent Graft Change Detection After Endovascular Abdominal Aortic Aneurysm Repair. In: Corchado, E., Yin, H. (eds) Intelligent Data Engineering and Automated Learning - IDEAL 2009. IDEAL 2009. Lecture Notes in Computer Science, vol 5788. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04394-9_80
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DOI: https://doi.org/10.1007/978-3-642-04394-9_80
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