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In Vivo Three-Dimensional Surface Geometry of Abdominal Aortic Aneurysms

Overview of attention for article published in Annals of Biomedical Engineering, July 1999
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Title
In Vivo Three-Dimensional Surface Geometry of Abdominal Aortic Aneurysms
Published in
Annals of Biomedical Engineering, July 1999
DOI 10.1114/1.202
Pubmed ID
Authors

Michael S. Sacks, David A. Vorp, M. L. Raghavan, Michael P. Federle, Marshall W. Webster

Abstract

Abdominal aortic aneurysm (AAA) is a local, progressive dilation of the distal aorta that risks rupture until treated. Using the law of Laplace, in vivo assessment of AAA surface geometry could identify regions of high wall tensions as well as provide critical dimensional and shape data for customized endoluminal stent grafts. In this study, six patients with AAA underwent spiral computed tomography imaging and the inner wall of each AAA was identified, digitized, and reconstructed. A biquadric surface patch technique was used to compute the local principal curvatures, which required no assumptions regarding axisymmetry or other shape characteristics of the AAA surface. The spatial distribution of AAA principal curvatures demonstrated substantial axial asymmetry, and included adjacent elliptical and hyperbolic regions. To determine how much the curvature spatial distributions were dependent on tortuosity versus bulging, the effects of AAA tortuosity were removed from the three-dimensional (3D) reconstructions by aligning the centroids of each digitized contour to the z axis. The spatial distribution of principal curvatures of the modified 3D reconstructions were found to be largely axisymmetric, suggesting that much of the surface geometric asymmetry is due to AAA bending. On average, AAA surface area increased by 56% and abdominal aortic length increased by 27% over those for the normal aorta. Our results indicate that AAA surface geometry is highly complex and cannot be simulated by simple axisymmetric models, and suggests an equally complex wall stress distribution.

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Mendeley readers

The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
United States 1 1%
Germany 1 1%
Italy 1 1%
Unknown 68 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 26%
Researcher 10 14%
Student > Master 10 14%
Professor > Associate Professor 9 13%
Professor 6 8%
Other 14 19%
Unknown 4 6%
Readers by discipline Count As %
Engineering 36 50%
Medicine and Dentistry 16 22%
Mathematics 2 3%
Agricultural and Biological Sciences 2 3%
Materials Science 2 3%
Other 3 4%
Unknown 11 15%