Aorta Segmentation for Stent Simulation

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%.

[1]  LiKang,et al.  Optimal Surface Segmentation in Volumetric Images-A Graph-Theoretic Approach , 2006 .

[2]  Johan Montagnat,et al.  3D graphical models for vascular-stent pose simulation , 2002 .

[3]  Albert C. S. Chung,et al.  Augmented vessels for quantitative analysis of vascular abnormalities and endovascular treatment planning , 2006, IEEE Transactions on Medical Imaging.

[4]  Ron Kikinis,et al.  Statistical validation of image segmentation quality based on a spatial overlap index. , 2004, Academic radiology.

[5]  Bernd Freisleben,et al.  PREOPERATIVE MEASUREMENT OF ANEURYSMS AND STENOSIS AND STENTSIMULATION FOR ENDOVASCULAR TREATMENT , 2007, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

[6]  Vladimir Kolmogorov,et al.  An experimental comparison of min-cut/max- flow algorithms for energy minimization in vision , 2001, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[7]  G. Moneta,et al.  Comparison of Endovascular Aneurysm Repair With Open Repair in Patients With Abdominal Aortic Aneurysm (EVAR Trial 1), 30-Day Operative Mortality Results: Randomised Controlled Trial , 2006 .

[8]  Xiaodong Wu,et al.  Optimal Surface Segmentation in Volumetric Images-A Graph-Theoretic Approach , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[9]  S. Rao Vallabhaneni,et al.  Internationale Fachliteratur , 2001, Gefässchirurgie.

[10]  Randolph M. Setser,et al.  User-assisted aortic aneurysm analysis , 2009, Medical Imaging.

[11]  Max A. Viergever,et al.  Interactive segmentation of abdominal aortic aneurysms in CTA images , 2004, Medical Image Anal..

[12]  L. A. Anderson.  Abdominal aortic aneurysm. , 2001, The Journal of cardiovascular nursing.