Literature DB >> 16777554

Patient-specific computational modeling of cerebral aneurysms with multiple avenues of flow from 3D rotational angiography images.

Marcelo A Castro1, Christopher M Putman, Juan R Cebral.   

Abstract

RATIONALE AND
OBJECTIVES: Previous studies of aneurysm flow dynamics based on three-dimensional (3D) rotational angiography (RA) images were limited to aneurysms with a single route of blood inflow. However, aneurysms of the circle of Willis frequently involve locations with more than one source of inflow, such as aneurysms of the anterior communicating artery. The highest resolution images of cerebral vessels are from RA images, but this technique is limited to visualizing only one route of inflow at a time, leaving a significant limitation in the application of 3DRA image sets for clinical studies of patient-specific computational fluid dynamics (CFD) simulations. In this report, subject-specific models of cerebral aneurysms with multiple avenues of flow are constructed from RA images by using a novel combination of image co-registration and surface merging techniques.
MATERIALS AND METHODS: RA images are obtained by means of contrast injection in each vessel that provides inflow to the aneurysm. Anatomic models are constructed independently of each of these vascular trees and fused together into a single model. The model is used to construct a finite element grid for CFD simulations of hemodynamics.
RESULTS: Three examples of patient-specific models are presented: an anterior communicating artery aneurysm, a basilar tip aneurysm, and a model of an entire circle of Willis with five coincident aneurysms. The method is evaluated with a numeric phantom of an aneurysm in the anterior communicating artery.
CONCLUSION: These examples show that this new technique can be used to create merged network numeric models for CFD modeling. Furthermore, intra-aneurysmal flow patterns are influenced strongly by merging of the two inflow streams. This effect decreases as distance from the merging streams increases.

Entities:  

Mesh:

Year:  2006        PMID: 16777554     DOI: 10.1016/j.acra.2006.03.011

Source DB:  PubMed          Journal:  Acad Radiol        ISSN: 1076-6332            Impact factor:   3.173


  16 in total

1.  Computational fluid dynamics modeling of intracranial aneurysms: effects of parent artery segmentation on intra-aneurysmal hemodynamics.

Authors:  M A Castro; C M Putman; J R Cebral
Journal:  AJNR Am J Neuroradiol       Date:  2006-09       Impact factor: 3.825

Review 2.  Patient-specific modeling of cardiovascular mechanics.

Authors:  C A Taylor; C A Figueroa
Journal:  Annu Rev Biomed Eng       Date:  2009       Impact factor: 9.590

3.  Association of hemodynamic characteristics and cerebral aneurysm rupture.

Authors:  J R Cebral; F Mut; J Weir; C M Putman
Journal:  AJNR Am J Neuroradiol       Date:  2010-11-04       Impact factor: 3.825

4.  Computational Fluid Dynamics modeling of contrast transport in basilar aneurysms following flow-altering surgeries.

Authors:  Alireza Vali; Adib A Abla; Michael T Lawton; David Saloner; Vitaliy L Rayz
Journal:  J Biomech       Date:  2016-11-11       Impact factor: 2.712

Review 5.  Physical factors effecting cerebral aneurysm pathophysiology.

Authors:  Chander Sadasivan; David J Fiorella; Henry H Woo; Baruch B Lieber
Journal:  Ann Biomed Eng       Date:  2013-04-03       Impact factor: 3.934

6.  Clinical Application of Image-Based CFD for Cerebral Aneurysms.

Authors:  Jr Cebral; F Mut; D Sforza; R Löhner; E Scrivano; P Lylyk; Cm Putman
Journal:  Int J Numer Method Biomed Eng       Date:  2011-07       Impact factor: 2.747

Review 7.  Suggested connections between risk factors of intracranial aneurysms: a review.

Authors:  Juan R Cebral; Marcelo Raschi
Journal:  Ann Biomed Eng       Date:  2012-12-14       Impact factor: 3.934

8.  Computer-assisted extraction of intracranial aneurysms on 3D rotational angiograms for computational fluid dynamics modeling.

Authors:  Herng-Hua Chang; Gary R Duckwiler; Daniel J Valentine; Woei Chyn Chu
Journal:  Med Phys       Date:  2009-12       Impact factor: 4.071

9.  Noninvasive measurement of intra-aneurysmal pressure and flow pattern using phase contrast with vastly undersampled isotropic projection imaging.

Authors:  R Moftakhar; B Aagaard-Kienitz; K Johnson; P A Turski; A S Turk; D B Niemann; D Consigny; J Grinde; O Wieben; C A Mistretta
Journal:  AJNR Am J Neuroradiol       Date:  2007-09-20       Impact factor: 3.825

10.  Hemodynamic patterns of anterior communicating artery aneurysms: a possible association with rupture.

Authors:  M A Castro; C M Putman; M J Sheridan; J R Cebral
Journal:  AJNR Am J Neuroradiol       Date:  2009-01-08       Impact factor: 3.825

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