Literature DB >> 36034106

Derivation of vascular wall shear stress from 1000 fps high-speed angiography (HSA) velocity distributions.

A Shields1, S V Setlur Nagesh1, V Chivukula2, C Ionita1, D R Bednarek1, S Rudin1.   

Abstract

Pathological changes in blood flow lead to altered hemodynamic forces, which are responsible for a number of conditions related to the remodeling and regeneration of the vasculature. More specifically, wall shear stress (WSS) has been shown to be a significant hemodynamic parameter with respect to aneurysm growth and rupture, as well as plaque activation leading to increased risk of stroke. In-vivo measurement of shear stress is difficult due to the stringent requirements on spatial resolution near the wall boundaries, as well as the deviation from the commonly assumed parabolic flow behavior at the wall. In this work, we propose an experimental method of in-vitro WSS calculations from high-temporal resolution velocity distributions, which are derived from 1000 fps high-speed angiography (HSA). The high-spatial and temporal resolution of our HSA detector makes such high-resolution velocity gradient measurements feasible. Presented here is the methodology for calculation of WSS in the imaging plane, as well as initial results for a variety of vascular geometries at physiologically realistic flow rates. Further, the effect of spatial resolution on the gradient calculation is explored using CFD-derived velocity data. Such angiographic-based analysis with HSA has the potential to provide critical hemodynamic feedback in an interventional setting, with the overarching objective of supporting clinical decision-making and improving patient outcomes.

Entities:  

Keywords:  Aneurysms; Computational Fluid Dynamics (CFD); High-Speed Angiography (HSA); Left Ventricular Assist Device (LVAD); Wall Shear Stress (WSS)

Year:  2022        PMID: 36034106      PMCID: PMC9407022          DOI: 10.1117/12.2611175

Source DB:  PubMed          Journal:  Proc SPIE Int Soc Opt Eng        ISSN: 0277-786X


  14 in total

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4.  Reconciling PC-MRI and CFD: An in-vitro study.

Authors:  Thomas Puiseux; Anou Sewonu; Olivier Meyrignac; Hervé Rousseau; Franck Nicoud; Simon Mendez; Ramiro Moreno
Journal:  NMR Biomed       Date:  2019-02-12       Impact factor: 4.044

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Authors:  Pim van Ooij; Wouter V Potters; Annetje Guédon; Joppe J Schneiders; Henk A Marquering; Charles B Majoie; Ed vanBavel; Aart J Nederveen
Journal:  J Magn Reson Imaging       Date:  2013-02-15       Impact factor: 4.813

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Journal:  Physiol Rev       Date:  1969-10       Impact factor: 37.312

7.  Evaluation of methods to derive blood flow velocity from 1000 fps high-speed angiographic sequences (HSA) using optical flow (OF) and computational fluid dynamics (CFD).

Authors:  A Shields; S V Setlur Nagesh; C Ionita; D R Bednarek; S Rudin
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2021-02-15

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Authors:  Daniel M Sforza; Christopher M Putman; Juan Raul Cebral
Journal:  Annu Rev Fluid Mech       Date:  2009-01-01       Impact factor: 18.511

Review 9.  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

10.  Comparison of Hemodynamic Visualization in Cerebral Arteries: Can Magnetic Resonance Imaging Replace Computational Fluid Dynamics?

Authors:  Minh Tri Ngo; Ui Yun Lee; Hojin Ha; Ning Jin; Gyung Ho Chung; Yeong Gon Kwak; Jinmu Jung; Hyo Sung Kwak
Journal:  J Pers Med       Date:  2021-03-30
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