Reconstruction and Finite Element Mesh Generation of Abdominal Aortic Aneurysms From Computerized Tomography Angiography Data With Minimal User Interactions

Evaluating rupture risk of abdominal aortic aneurysms is critically important in reducing related mortality without unnecessarily increasing the rate of elective repair. According to the current clinical practice aneurysm rupture risk is (mainly) estimated from its maximum diameter and/or expansion rate; an approach motivated from statistics but known to fail often in individuals. In contrast, recent research demonstrated that patient specific biomechanical simulations can provide more reliable diagnostic parameters, however current structural model development is cumbersome and time consuming. This paper used 2D and 3D deformable models to reconstruct aneurysms from computerized tomography angiography data with minimal user interactions. In particular, formulations of frames and shells, as known from structural mechanics, were used to define deformable modes, which in turn allowed a direct mechanical interpretation of the applied set of reconstruction parameters. Likewise, a parallel finite element implementation of the models allows the segmentation of clinical cases on standard personal computers within a few minutes. The particular topology of the applied 3D deformable models supports a fast and simple hexahedral-dominated meshing of the arising generally polyhedral domain. The variability of the derived segmentations (luminal: 0.50(SD 0.19) mm; exterior 0.89(SD 0.45) mm) with respect to large variations in elastic properties of the deformable models was in the range of the differences between manual segmentations as performed by experts (luminal: 0.57(SD 0.24) mm; exterior: 0.77(SD 0.58) mm), and was particularly independent from the algorithm's initialization. The proposed interaction of deformable models and mesh generation defines finite element meshes suitable to perform accurate and efficient structural analysis of the aneurysm using mixed finite element formulations.

[1]  David A. Vorp,et al.  Potential influence of intraluminal thrombus on abdominal aortic aneurysm as assessed by a new non-invasive method. , 1996, Cardiovascular surgery.

[2]  Max A. Viergever,et al.  Active-shape-model-based segmentation of abdominal aortic aneurysms in CTA images , 2002, SPIE Medical Imaging.

[3]  Per Eriksson,et al.  Influence of intraluminal thrombus on structural and cellular composition of abdominal aortic aneurysm wall. , 2003, Journal of vascular surgery.

[4]  J Swedenborg,et al.  Biomechanical rupture risk assessment of abdominal aortic aneurysms: model complexity versus predictability of finite element simulations. , 2010, European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery.

[5]  D. A. Field Laplacian smoothing and Delaunay triangulations , 1988 .

[6]  R Fumero,et al.  Biomechanics of abdominal aortic aneurysm in the presence of endoluminal thrombus: experimental characterisation and structural static computational analysis. , 1998, European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery.

[7]  J. Oden,et al.  Variational Methods in Theoretical Mechanics , 1976 .

[8]  R Fumero,et al.  Biomechanical factors in abdominal aortic aneurysm rupture. , 1993, European journal of vascular surgery.

[9]  Matthew L. Staten,et al.  Unconstrained Paving & Plastering: A New Idea for All Hexahedral Mesh Generation , 2005, IMR.

[10]  Franz Aurenhammer,et al.  Handbook of Computational Geometry , 2000 .

[11]  T. Prevost,et al.  Growth rates and risk of rupture of abdominal aortic aneurysms , 1998, The British journal of surgery.

[12]  T Christian Gasser,et al.  Failure properties of intraluminal thrombus in abdominal aortic aneurysm under static and pulsating mechanical loads. , 2008, Journal of vascular surgery.

[13]  Andr´e Gu´eziec Extracting Surface Models of the Anatomy from Medical Images , 2000 .

[14]  Andrea Giachetti,et al.  Reconstruction and web distribution of measurable arterial models , 2003, Medical Image Anal..

[15]  Marcel Breeuwer,et al.  Segmentation of thrombus in abdominal aortic aneurysms from CTA with nonparametric statistical grey level appearance modeling , 2005, IEEE Transactions on Medical Imaging.

[16]  Ronald L. Rivest,et al.  Introduction to Algorithms , 1990 .

[17]  Madhavan L Raghavan,et al.  Regional distribution of wall thickness and failure properties of human abdominal aortic aneurysm. , 2006, Journal of biomechanics.

[18]  Michael S Sacks,et al.  A planar biaxial constitutive relation for the luminal layer of intra-luminal thrombus in abdominal aortic aneurysms. , 2006, Journal of biomechanics.

[19]  J. Blankensteijn,et al.  Wall stress analysis in small asymptomatic, symptomatic and ruptured abdominal aortic aneurysms. , 2007, European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery.

[20]  Frans N. van de Vosse,et al.  Non-linear viscoelastic behavior of abdominal aortic aneurysm thrombus , 2008, Biomechanics and modeling in mechanobiology.

[21]  Timothy J. Tautges,et al.  THE WHISKER WEAVING ALGORITHM: A CONNECTIVITY‐BASED METHOD FOR CONSTRUCTING ALL‐HEXAHEDRAL FINITE ELEMENT MESHES , 1996 .

[22]  R. Taylor The Finite Element Method, the Basis , 2000 .

[23]  Manish Mehta,et al.  Variability of maximal aortic aneurysm diameter measurements on CT scan: significance and methods to minimize. , 2004, Journal of vascular surgery.

[24]  Rudolf Stollberger,et al.  3-D reconstruction of tissue components for atherosclerotic human arteries using ex vivo high-resolution MRI , 2006, IEEE Transactions on Medical Imaging.

[25]  Matthew L. Staten,et al.  An Approach to Combined Laplacian and Optimization-Based Smoothing for Triangular, Quadrilateral, and Quad-Dominant Meshes , 1998, IMR.

[26]  Mark F Fillinger,et al.  Prediction of rupture risk in abdominal aortic aneurysm during observation: wall stress versus diameter. , 2003, Journal of vascular surgery.

[27]  Yongmin Kim,et al.  A methodology for evaluation of boundary detection algorithms on medical images , 1997, IEEE Transactions on Medical Imaging.

[28]  D Bergqvist,et al.  Incidence and Prevalence of Abdominal Aortic Aneurysms, Estimated by Necropsy Studies and Population Screening by Ultrasound a , 1996, Annals of the New York Academy of Sciences.

[29]  Sven Loncaric,et al.  3D image analysis of abdominal aortic aneurysm , 2002, SPIE Medical Imaging.

[30]  Hervé Delingette,et al.  General Object Reconstruction Based on Simplex Meshes , 1999, International Journal of Computer Vision.

[31]  M J Fagan,et al.  A comparative study of aortic wall stress using finite element analysis for ruptured and non-ruptured abdominal aortic aneurysms. , 2004, European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery.

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

[33]  M. Watkins,et al.  Peak wall stress measurement in elective and acute abdominal aortic aneurysms , 2009 .

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

[35]  M. Webster,et al.  Effect of intraluminal thrombus on wall stress in patient-specific models of abdominal aortic aneurysm. , 2002, Journal of vascular surgery.

[36]  S S Gambhir,et al.  Effect of intraluminal thrombus on abdominal aortic aneurysm wall stress. , 1997, Journal of vascular surgery.

[37]  J. Gillard,et al.  Impact of calcification and intraluminal thrombus on the computed wall stresses of abdominal aortic aneurysm. , 2008, Journal of vascular surgery.

[38]  Eric Keppel,et al.  Approximating Complex Surfaces by Triangulation of Contour Lines , 1975, IBM J. Res. Dev..

[39]  D A Vorp,et al.  Mechanical properties and microstructure of intraluminal thrombus from abdominal aortic aneurysm. , 2001, Journal of biomechanical engineering.

[40]  Mark F Fillinger,et al.  Automated methodology for determination of stress distribution in human abdominal aortic aneurysm. , 2005, Journal of biomechanical engineering.

[41]  R. K. Shyamasundar,et al.  Introduction to algorithms , 1996 .

[42]  Anne Newman,et al.  Cardiovascular Disease and Mortality in Older Adults with Small Abdominal Aortic Aneurysms Detected by Ultrasonography: The Cardiovascular Health Study , 2001, Annals of Internal Medicine.

[43]  M L Raghavan,et al.  Toward a biomechanical tool to evaluate rupture potential of abdominal aortic aneurysm: identification of a finite strain constitutive model and evaluation of its applicability. , 2000, Journal of biomechanics.

[44]  M. Balasubramaniam,et al.  Size and location of thrombus in intact and ruptured abdominal aortic aneurysms. , 2005, Journal of vascular surgery.

[45]  E Sorantin,et al.  3-D image analysis of abdominal aortic aneurysm. , 2000, Studies in health technology and informatics.