Abstract
A methodology is presented in order to aid in the surgical planning of abdominal aortic aneurysms. This method addresses image recognition, especially of the aorta and abdominal aneurysms. After the recognition and segmentation of these structures, it is possible to obtain a correct measurement of the same structures, generating more reliable data for manufacturing the required endoprostheses for the treatment of the pathology. With the 3D reconstruction of the anatomical structures, is also possible to make the visualization and analysis of the data more reliable. This work is part of the Cyclops project, which intends to develop intelligent tools for the analysis of medical images, accomplished as a partnership between the Universidade Federal de Santa Catarina (UFSC) and the University of Kaiserslautern, Germany.
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