Literature DB >> 30061369

Comparison of intracranial aneurysm flow quantification techniques: standard PIV vs stereoscopic PIV vs tomographic PIV vs phase-contrast MRI vs CFD.

Christoph Roloff1, Daniel Stucht2,3, Oliver Beuing3,4, Philipp Berg1,3.   

Abstract

Image-based hemodynamic simulations to assess the rupture risk or improve the treatment planning of intracranial aneurysms have become popular recently. However, due to strong modeling assumptions and limitations, the acceptance of numerical approaches remains limited. Therefore, validation using experimental methods is mandatory.In this study, a unique compilation of four in-vitro flow measurements (three particle image velocimetry approaches using a standard (PIV), stereoscopic (sPIV), and tomographic (tPIV) setup, as well as a phase-contrast magnetic resonance imaging (PC-MRI) measurement) were compared with a computational fluid dynamics (CFD) simulation. This was carried out in a patient-specific silicone phantom model of an internal carotid artery aneurysm under steady flow conditions. To evaluate differences between each technique, a similarity index (SI) with respect to the velocity vectors and the average velocity magnitude differences among all involved modalities were computed.The qualitative comparison reveals that all techniques are able to provide a reasonable description of the global flow structures. High quantitative agreement in terms of SI and velocity magnitude differences was found between all PIV methods and CFD. However, quantitative differences were observed between PC-MRI and the other techniques. Deeper analysis revealed that the limited resolution of the PC-MRI technique is a major contributor to the experienced differences and leads to a systematic underestimation of overall velocity magnitude levels inside the vessel. This confirms the necessity of using highly resolving flow measurement techniques, such as PIV, in an in-vitro environment to individually verify the validity of the numerically obtained hemodynamic results. © Author(s) (or their employer(s)) 2019. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  aneurysm; blood flow; laser; mri; technology

Mesh:

Year:  2018        PMID: 30061369     DOI: 10.1136/neurintsurg-2018-013921

Source DB:  PubMed          Journal:  J Neurointerv Surg        ISSN: 1759-8478            Impact factor:   5.836


  12 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.  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

3.  Multiple Aneurysms AnaTomy CHallenge 2018 (MATCH)-phase II: rupture risk assessment.

Authors:  Philipp Berg; Samuel Voß; Gábor Janiga; Sylvia Saalfeld; Aslak W Bergersen; Kristian Valen-Sendstad; Jan Bruening; Leonid Goubergrits; Andreas Spuler; Tin Lok Chiu; Anderson Chun On Tsang; Gabriele Copelli; Benjamin Csippa; György Paál; Gábor Závodszky; Felicitas J Detmer; Bong J Chung; Juan R Cebral; Soichiro Fujimura; Hiroyuki Takao; Christof Karmonik; Saba Elias; Nicole M Cancelliere; Mehdi Najafi; David A Steinman; Vitor M Pereira; Senol Piskin; Ender A Finol; Mariya Pravdivtseva; Prasanth Velvaluri; Hamidreza Rajabzadeh-Oghaz; Nikhil Paliwal; Hui Meng; Santhosh Seshadhri; Sreenivas Venguru; Masaaki Shojima; Sergey Sindeev; Sergey Frolov; Yi Qian; Yu-An Wu; Kent D Carlson; David F Kallmes; Dan Dragomir-Daescu; Oliver Beuing
Journal:  Int J Comput Assist Radiol Surg       Date:  2019-05-03       Impact factor: 2.924

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

Authors:  Melissa C Brindise; Sean Rothenberger; Benjamin Dickerhoff; Susanne Schnell; Michael Markl; David Saloner; Vitaliy L Rayz; Pavlos P Vlachos
Journal:  J R Soc Interface       Date:  2019-09-11       Impact factor: 4.118

5.  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

6.  Virtual embolization for treatment support of intracranial AVMs using an interactive desktop and VR application.

Authors:  Ulrike Sprengel; Patrick Saalfeld; Janneck Stahl; Sarah Mittenentzwei; Moritz Drittel; Benjamin Behrendt; Naoki Kaneko; Daniel Behme; Philipp Berg; Bernhard Preim; Sylvia Saalfeld
Journal:  Int J Comput Assist Radiol Surg       Date:  2021-11-22       Impact factor: 2.924

7.  Influence of Spatial Resolution and Compressed SENSE Acceleration Factor on Flow Quantification with 4D Flow MRI at 3 Tesla.

Authors:  Mariya S Pravdivtseva; Franziska Gaidzik; Philipp Berg; Patricia Ulloa; Naomi Larsen; Olav Jansen; Jan-Bernd Hövener; Mona Salehi Ravesh
Journal:  Tomography       Date:  2022-02-10

8.  Can Endovascular Treatment of Fusiform Intracranial Aneurysms Restore the Healthy Hemodynamic Environment?-A Virtual Pilot Study.

Authors:  Sylvia Saalfeld; Janneck Stahl; Jana Korte; Laurel Morgan Miller Marsh; Bernhard Preim; Oliver Beuing; Yurii Cherednychenko; Daniel Behme; Philipp Berg
Journal:  Front Neurol       Date:  2022-01-24       Impact factor: 4.003

Review 9.  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

10.  Evaluation of a Desktop 3D Printed Rigid Refractive-Indexed-Matched Flow Phantom for PIV Measurements on Cerebral Aneurysms.

Authors:  W H Ho; I J Tshimanga; M N Ngoepe; M C Jermy; P H Geoghegan
Journal:  Cardiovasc Eng Technol       Date:  2019-12-09       Impact factor: 2.495

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