Literature DB >> 31506043

Multi-modality cerebral aneurysm haemodynamic analysis: in vivo 4D flow MRI, in vitro volumetric particle velocimetry and in silico computational fluid dynamics.

Melissa C Brindise1, Sean Rothenberger2, Benjamin Dickerhoff3, Susanne Schnell4, Michael Markl4,5, David Saloner6, Vitaliy L Rayz1,2, Pavlos P Vlachos1,2.   

Abstract

Typical approaches to patient-specific haemodynamic studies of cerebral aneurysms use image-based computational fluid dynamics (CFD) and seek to statistically correlate parameters such as wall shear stress (WSS) and oscillatory shear index (OSI) to risk of growth and rupture. However, such studies have reported contradictory results, emphasizing the need for in-depth multi-modality haemodynamic metric evaluation. In this work, we used in vivo 4D flow MRI data to inform in vitro particle velocimetry and CFD modalities in two patient-specific cerebral aneurysm models (basilar tip and internal carotid artery). Pulsatile volumetric particle velocimetry experiments were conducted, and the particle images were processed using Shake-the-Box, a particle tracking method. Distributions of normalized WSS and relative residence time were shown to be highly yet inconsistently affected by minor flow field and spatial resolution variations across modalities, and specific relationships among these should be explored in future work. Conversely, OSI, a non-dimensional parameter, was shown to be more robust to the varying assumptions, limitations and spatial resolutions of each subject and modality. These results suggest a need for further multi-modality analysis as well as development of non-dimensional haemodynamic parameters and correlation of such metrics to aneurysm risk of growth and rupture.

Entities:  

Keywords:  4D flow MRI; cerebral aneurysm; oscillatory shear index; particle image velocimetry; relative residence time; wall shear stress

Mesh:

Year:  2019        PMID: 31506043      PMCID: PMC6769317          DOI: 10.1098/rsif.2019.0465

Source DB:  PubMed          Journal:  J R Soc Interface        ISSN: 1742-5662            Impact factor:   4.118


  25 in total

1.  Quantitative 2D and 3D phase contrast MRI: optimized analysis of blood flow and vessel wall parameters.

Authors:  A F Stalder; M F Russe; A Frydrychowicz; J Bock; J Hennig; M Markl
Journal:  Magn Reson Med       Date:  2008-11       Impact factor: 4.668

2.  Complex flow patterns in a real-size intracranial aneurysm phantom: phase contrast MRI compared with particle image velocimetry and computational fluid dynamics.

Authors:  P van Ooij; A Guédon; C Poelma; J Schneiders; M C M Rutten; H A Marquering; C B Majoie; E VanBavel; A J Nederveen
Journal:  NMR Biomed       Date:  2011-04-08       Impact factor: 4.044

3.  The Computational Fluid Dynamics Rupture Challenge 2013--Phase II: Variability of Hemodynamic Simulations in Two Intracranial Aneurysms.

Authors:  Philipp Berg; Christoph Roloff; Oliver Beuing; Samuel Voss; Shin-Ichiro Sugiyama; Nicolas Aristokleous; Andreas S Anayiotos; Neil Ashton; Alistair Revell; Neil W Bressloff; Alistair G Brown; Bong Jae Chung; Juan R Cebral; Gabriele Copelli; Wenyu Fu; Aike Qiao; Arjan J Geers; Simona Hodis; Dan Dragomir-Daescu; Emily Nordahl; Yildirim Bora Suzen; Muhammad Owais Khan; Kristian Valen-Sendstad; Kenichi Kono; Prahlad G Menon; Priti G Albal; Otto Mierka; Raphael Münster; Hernán G Morales; Odile Bonnefous; Jan Osman; Leonid Goubergrits; Jordi Pallares; Salvatore Cito; Alberto Passalacqua; Senol Piskin; Kerem Pekkan; Susana Ramalho; Nelson Marques; Stéphane Sanchi; Kristopher R Schumacher; Jess Sturgeon; Helena Švihlová; Jaroslav Hron; Gabriel Usera; Mariana Mendina; Jianping Xiang; Hui Meng; David A Steinman; Gábor Janiga
Journal:  J Biomech Eng       Date:  2015-12       Impact factor: 2.097

4.  Hemodynamic-morphologic discriminants for intracranial aneurysm rupture.

Authors:  Jianping Xiang; Sabareesh K Natarajan; Markus Tremmel; Ding Ma; J Mocco; L Nelson Hopkins; Adnan H Siddiqui; Elad I Levy; Hui Meng
Journal:  Stroke       Date:  2010-11-24       Impact factor: 7.914

5.  Transitional hemodynamics in intracranial aneurysms - Comparative velocity investigations with high resolution lattice Boltzmann simulations, normal resolution ANSYS simulations, and MR imaging.

Authors:  Kartik Jain; Jingfeng Jiang; Charles Strother; Kent-André Mardal
Journal:  Med Phys       Date:  2016-11       Impact factor: 4.071

6.  Experimental insights into flow impingement in cerebral aneurysm by stereoscopic particle image velocimetry: transition from a laminar regime.

Authors:  Takanobu Yagi; Ayaka Sato; Manabu Shinke; Sara Takahashi; Yasutaka Tobe; Hiroyuki Takao; Yuichi Murayama; Mitsuo Umezu
Journal:  J R Soc Interface       Date:  2013-02-20       Impact factor: 4.118

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

Review 8.  High WSS or low WSS? Complex interactions of hemodynamics with intracranial aneurysm initiation, growth, and rupture: toward a unifying hypothesis.

Authors:  H Meng; V M Tutino; J Xiang; A Siddiqui
Journal:  AJNR Am J Neuroradiol       Date:  2013-04-18       Impact factor: 3.825

9.  Aneurysm growth occurs at region of low wall shear stress: patient-specific correlation of hemodynamics and growth in a longitudinal study.

Authors:  Loic Boussel; Vitaliy Rayz; Charles McCulloch; Alastair Martin; Gabriel Acevedo-Bolton; Michael Lawton; Randall Higashida; Wade S Smith; William L Young; David Saloner
Journal:  Stroke       Date:  2008-08-07       Impact factor: 7.914

10.  PIV-measured versus CFD-predicted flow dynamics in anatomically realistic cerebral aneurysm models.

Authors:  Matthew D Ford; Hristo N Nikolov; Jaques S Milner; Stephen P Lownie; Edwin M Demont; Wojciech Kalata; Francis Loth; David W Holdsworth; David A Steinman
Journal:  J Biomech Eng       Date:  2008-04       Impact factor: 2.097

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  17 in total

1.  In Vitro Assessment of Flow Variability in an Intracranial Aneurysm Model Using 4D Flow MRI and Tomographic PIV.

Authors:  Rafael Medero; Katrina Ruedinger; David Rutkowski; Kevin Johnson; Alejandro Roldán-Alzate
Journal:  Ann Biomed Eng       Date:  2020-06-10       Impact factor: 3.934

2.  Wall Shear Stress Estimation for 4D Flow MRI Using Navier-Stokes Equation Correction.

Authors:  Jiacheng Zhang; Sean M Rothenberger; Melissa C Brindise; Michael Markl; Vitaliy L Rayz; Pavlos P Vlachos
Journal:  Ann Biomed Eng       Date:  2022-08-09       Impact factor: 4.219

3.  Hemodynamic characteristics in a cerebral aneurysm model using non-Newtonian blood analogues.

Authors:  Hang Yi; Zifeng Yang; Mark Johnson; Luke Bramlage; Bryan Ludwig
Journal:  Phys Fluids (1994)       Date:  2022-10-03       Impact factor: 4.980

4.  Modeling Bias Error in 4D Flow MRI Velocity Measurements.

Authors:  Sean M Rothenberger; Jiacheng Zhang; Melissa C Brindise; Susanne Schnell; Michael Markl; Pavlos P Vlachos; Vitaliy L Rayz
Journal:  IEEE Trans Med Imaging       Date:  2022-06-30       Impact factor: 11.037

5.  Divergence-Free Constrained Phase Unwrapping and Denoising for 4D Flow MRI Using Weighted Least-Squares.

Authors:  Jiacheng Zhang; Sean M Rothenberger; Melissa C Brindise; Michael B Scott; Haben Berhane; Justin J Baraboo; Michael Markl; Vitaliy L Rayz; Pavlos P Vlachos
Journal:  IEEE Trans Med Imaging       Date:  2021-11-30       Impact factor: 10.048

6.  Enhancement of cerebrovascular 4D flow MRI velocity fields using machine learning and computational fluid dynamics simulation data.

Authors:  David R Rutkowski; Alejandro Roldán-Alzate; Kevin M Johnson
Journal:  Sci Rep       Date:  2021-05-13       Impact factor: 4.379

7.  A multi-modality approach for enhancing 4D flow magnetic resonance imaging via sparse representation.

Authors:  Jiacheng Zhang; Melissa C Brindise; Sean M Rothenberger; Michael Markl; Vitaliy L Rayz; Pavlos P Vlachos
Journal:  J R Soc Interface       Date:  2022-01-19       Impact factor: 4.293

8.  Numerical study on the energy cascade of pulsatile Newtonian and power-law flow models in an ICA bifurcation.

Authors:  Samar A Mahrous; Nor Azwadi Che Sidik; Khalid M Saqr
Journal:  PLoS One       Date:  2021-01-25       Impact factor: 3.240

Review 9.  Properties and Applications of PDMS for Biomedical Engineering: A Review.

Authors:  Inês Miranda; Andrews Souza; Paulo Sousa; João Ribeiro; Elisabete M S Castanheira; Rui Lima; Graça Minas
Journal:  J Funct Biomater       Date:  2021-12-21

Review 10.  Hemodynamics of Cerebral Aneurysms: Connecting Medical Imaging and Biomechanical Analysis.

Authors:  Vitaliy L Rayz; Aaron A Cohen-Gadol
Journal:  Annu Rev Biomed Eng       Date:  2020-03-25       Impact factor: 11.324

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