Volumetric arterial wall shear stress calculation based on cine phase contrast MRI

Potters, Wouter V.; Ooij, Pim van; Marquering, Henk A.; vanBavel, Ed; Nederveen, Aart J.

doi:10.1002/jmri.24560

Cited by 146 publications

(190 citation statements)

References 46 publications

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“…The ascending aorta was segmented and corrected for eddy currents, Maxwell terms and velocity aliasing using inhouse software programmed in MatLab (MathWorks, Natick, MA, USA) [14,15]. Mean and maximum blood flow velocity and WSS were calculated at the peak systolic time frame using previously published algorithms [16]. Due to the difference in data acquisition techniques between SAVR patients and TAVR/control group, no WSS comparison was conducted between SAVR patients and the other groups.…”

Section: Data Analysis -Velocity and Wssmentioning

confidence: 99%

“…Furthermore, as earlier mentioned, we were unable to compare WSS values and patterns between TAVR and SAVR patients due to differences in acquisition parameters. For example, it is known that WSS estimations are highly dependent on spatial resolution [16,23]. Since the voxel volume of the SAVR datasets is 7.5 mm 3 (=1.5 mm × 1.5 mm × 1.5 mm), compared to 15.6 mm 3 (= 2.5 mm × 2.5 mm × 2.5 mm) of the control and TAVR datasets, differences in WSS between SAVR and TAVR will likely be caused by differences in spatial resolution.…”

Section: Limitationsmentioning

confidence: 99%

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Transcatheter aortic valve replacement alters ascending aortic blood flow and wall shear stress patterns: A 4D flow MRI comparison with age-matched, elderly controls

et al. 2018

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Background With the implementation of transcatheter aortic valve replacement (TAVR) in lower-risk patients, evaluation of blood flow characteristics and the effect of TAVR on aortic dilatation becomes of considerable interest. We employed 4D flow MRI in the ascending aorta of patients after TAVR to assess wall shear stress (WSS) and compare blood flow patterns with surgical aortic valve replacement (SAVR) and age-and gender-matched controls. Methods Fourteen post-TAVR patients and ten age-and gender-matched controls underwent kt-PCA accelerated 4D flow MRI of the thoracic aorta at 3.0 Tesla. Velocity and wall shear stress was compared between the two groups. In addition, aortic flow eccentricity and displacement was assessed and compared between TAVR patients, controls and 14 SAVR patients recruited as part of an earlier study. Results Compared to controls, abnormally elevated WSS was present in 30±10% of the ascending aortic wall in TAVR patients. Increased WSS was present along the posterior mid-ascending aorta and the anterior distal-ascending aorta in all TAVR patients. TAVR results in eccentric and displaced flow in the mid-and distal-ascending aorta, whereas blood flow displacement in SAVR patients occurs only in the distal-ascending aorta. Conclusion This study shows that TAVR results in increased blood flow velocity and WSS in the ascending aorta compared to age-and gender-matched elderly controls. This finding warrants longitudinal assessment of aortic dilatation after TAVR in the era of potential TAVR in lower-risk patients. Additionally, TAVR results in altered blood flow eccentricity and displacement in the mid-and distal-ascending aorta, whereas SAVR only results in altered blood flow eccentricity and displacement in the distalascending aorta. Key Points • TAVR results in increased blood flow velocity and WSS in the ascending aorta.• Longitudinal assessment of aortic dilatation after TAVR is warranted in the era of potential TAVR in lower-risk patients.• Both TAVR and SAVR result in altered blood flow patterns in the ascending aorta when compared to age-matched controls.

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Section: Data Analysis -Velocity and Wssmentioning

confidence: 99%

Section: Limitationsmentioning

confidence: 99%

Transcatheter aortic valve replacement alters ascending aortic blood flow and wall shear stress patterns: A 4D flow MRI comparison with age-matched, elderly controls

et al. 2018

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“…The Swedish National Infrastructure for Computing (SNIC) is acknowledged for computational resources provided by the National Supercomputer Centre (SNIC2014- [11][12][13][14][15][16][17][18][19][20][21][22] …”

Section: Acknowledgmentsmentioning

confidence: 99%

“…In vivo measurements concerning the impact of flow on the vessel wall have primarily been performed by estimating using 2D cine PC-MRI or three-dimensional, three-directional, cine PC-MRI (4D Flow MRI) velocity data (14)(15)(16)(17). As the velocity field measured with 4D…”

Section: Introductionmentioning

confidence: 99%

Assessment of turbulent flow effects on the vessel wall using four-dimensional flow MRI

et al. 2016

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PurposeTo explore the use of MR-estimated turbulence quantities for the assessment of turbulent flow effects on the vessel wall. MethodsNumerical velocity data for two patient-derived models was obtained using computational fluid dynamics (CFD) for two physiological flow rates. 4D Flow MRI measurements were simulated at three different spatial resolutions and used to investigate the estimation of turbulent wall shear stress (tWSS) using the intravoxel standard deviation (IVSD) of velocity and turbulent kinetic energy (TKE) estimated near the vessel wall. ResultsAccurate estimation of tWSS using the IVSD is limited by the spatial resolution achievable with 4D Flow MRI. TKE, estimated near the wall, has a strong linear relationship to the tWSS (mean R 2 = 0.84). Near-wall TKE estimates from MR simulations have good agreement to CFD-derived ground truth (mean R 2 = 0.90). Maps of near-wall TKE have strong visual correspondence to tWSS. ConclusionNear-wall estimation of TKE permits assessment of relative maps of tWSS, but direct estimation of tWSS is challenging due to limitations in spatial resolution. Assessment of tWSS and nearwall TKE may open new avenues for analysis of different pathologies.

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“…In fact, the effect of blood flow on the vascular endothelium, related to the local wall shear stress, has been proposed to be a critical determinant of vascular disease progression in atherosclerosis and aneurysms [4].…”

Section: Introductionmentioning

confidence: 99%

Aortic Flow and Morphology Adaptation to Deconditioning after 21:Days of Head:Down Bed:Rest Assessed by Phase Contrast MRI

Caiani

Riso

Landreani

et al. 2016

2016 Computing in Cardiology Conference (CinC)

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Volumetric arterial wall shear stress calculation based on cine phase contrast MRI

Abstract: The effects of resolution and segmentation on the accuracy and precision of the WSS algorithm were quantified. We were able to calculate volumetric WSS in the carotid bifurcation and the aorta.

Cited by 146 publications

References 46 publications

Transcatheter aortic valve replacement alters ascending aortic blood flow and wall shear stress patterns: A 4D flow MRI comparison with age-matched, elderly controls

Transcatheter aortic valve replacement alters ascending aortic blood flow and wall shear stress patterns: A 4D flow MRI comparison with age-matched, elderly controls

Assessment of turbulent flow effects on the vessel wall using four-dimensional flow MRI

Aortic Flow and Morphology Adaptation to Deconditioning after 21:Days of Head:Down Bed:Rest Assessed by Phase Contrast MRI

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