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Conference papers

Aorta Segmentation for Stent Simulation

Jan Egger 1, 2, 3 Bernd Freisleben 1 Randolph Setser 4 Rahul Renapuraar 4 Christina Biermann 2, 5 Thomas O'Donnell 3
1 Fachbereich Mathematik und Informatik [Marburg] [Dept. of Math and Computer Science]
2 Computed Tomography Siemens Healthcare
3 Department of Imaging and Visualization [Siemens Corporate Research]
4 Department of Diagnostic Radiology [Cleveland Clinic]
5 Department of Radiology [Radiologische Universitätsklinik Eberhard-Karls-Universität Tübingen]
Abstract : Simulation of arterial stenting procedures prior to intervention allows for appropriate device selection as well as highlights potential complications. To this end, we present a framework for facilitating virtual aortic stenting from a contrast computer tomography (CT) scan. More specifically, we present a method for both lumen and outer wall segmentation that may be employed in determining both the appropriateness of intervention as well as the selection and localization of the device. The more challenging recovery of the outer wall is based on a novel minimal closure tracking algorithm. Our aortic segmentation method has been validated on over 3000 multiplanar reformatting (MPR) planes from 50 CT angiography data sets yielding a Dice Similarity Coefficient (DSC) of 90.67%.
Keywords : stent simulation vessel segmentation thrombus tracking
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Submitted on : Friday, September 18, 2009 - 2:17:11 PM
Last modification on : Wednesday, March 9, 2022 - 3:12:02 PM
Long-term archiving on: : Tuesday, June 15, 2010 - 10:05:53 PM

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CI2BM09

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Jan Egger, Bernd Freisleben, Randolph Setser, Rahul Renapuraar, Christina Biermann, et al.. Aorta Segmentation for Stent Simulation. CI2BM09 - MICCAI Workshop on Cardiovascular Interventional Imaging and Biophysical Modelling, Sep 2009, London, United Kingdom. 10 p. ⟨inria-00418410⟩

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