Paper
29 March 2013 Intracranial aneurysm wall motion and wall shear stress from 4D computerized tomographic angiography images
Marcelo A. Castro, Maria C. Ahumada Olivares, Christopher M. Putman, Juan R. Cebral
Author Affiliations +
Abstract
It is widely accepted that wall shear stress is associated to aneurysm formation, growth and rupture. Early identification of potential risk factors may contribute to decide the treatment and improve patient care. Previous studies have shown associations between high aneurysm wall shear stress values and both elevated risk of rupture and regions of aneurysm growing. Based on the assumption that damaged regions of the endothelium have different mechanical properties, regions with differentiated wall displacement amplitudes are expected. A previous approach based on the analysis of bidimensional dynamic tomographic angiography had been designed to investigate those correlations, but its main limitation was that wall motion was measured in a selected plane. The purpose of this work is to overcome some of those limitations. High time and spatial resolution 4D computerized tomographic angiography images of cerebral aneurysms were acquired and analyzed in order to identify and characterize wall motion. Images were filtered and segmented at nineteen time points during the cardiac cycle and displacement was estimated within the aneurysm sac and compared to wall shear stress distributions from patient-specific unsteady finite element blood flow simulations.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Marcelo A. Castro, Maria C. Ahumada Olivares, Christopher M. Putman, and Juan R. Cebral "Intracranial aneurysm wall motion and wall shear stress from 4D computerized tomographic angiography images", Proc. SPIE 8672, Medical Imaging 2013: Biomedical Applications in Molecular, Structural, and Functional Imaging, 867220 (29 March 2013); https://doi.org/10.1117/12.2005982
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Cited by 2 scholarly publications.
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KEYWORDS
Arteries

Image segmentation

Angiography

Tomography

3D modeling

Blood circulation

Motion measurement

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