ABSTRACT

The behavior of wall shear stress (WSS) was previously reported in a deformable aneurysm model using fluid-structure interactions. However, these findings have not been validated. In the present study, we examined the effect of elasticity (i.e., deformation) on wall shear stress inside a cerebral aneurysm at the apex of a bifurcation using particle image velocimetry in vitro. The flow model simulated a human patient-specific aneurysm at the apex of the bifurcation of the middle cerebral artery. Flow characteristics by wall elasticity were examined for both elastic and non-deformable aneurysm models with pulsatile blood flow. The absolute temporally- and spatially-averaged WSS along the bleb wall was smaller in the elastic model than that in the non-deformable model. This small WSS may be related to attenuation of the WSS. Further, the WSS gradient had a finite value near the stagnation point of the aneurysm dome. Finally, the WSS gradient near the stagnation point was slightly smaller in the elastic model than that in the non-deformable model. These data suggest that elasticity of the aneurysm wall can affect the progression and rupture of aneurysms via hemodynamic stress.

Keywords:

Cerebral Aneurysm, Elasticity, Particle Image Velocimetry, Wall Shear Stress

1. Introduction

Computational fluid dynamics (CFD) is increasingly used to assess the hemodynamics that occur inside aneurysms [1] [2] [3] [4] , including hemodynamic stress for ruptured and unruptured aneurysms with a rigid vessel wall. Hemodynamic factors, including wall shear stress (WSS), oscillatory shear index, impingement region, and inflow jet, are known risk indicators for aneurysm progression and rupture [5] [6] [7] [8] [9] . Xiang et al. also reported that morphology was an important hemodynamic parameter in discriminating rupture status [8] . However, the mechanism of rupture has not clarified yet [1] .

The use of CFD has been compared with a range of methods including phase contrast magnetic resonance imaging (MRI) and particle imaging velocimetry (PIV) [10] [11] . For example, Acevedo-Bolton et al. used in vivo and in vitro phase contrast magnetic resonance imaging to validate CFD simulations in a patient-specific aneurysm model [10] . Ford et al. also used PIV to validate the velocity fields calculated with CFD in two patient-specific aneurysms and found that the detailed flow structure in PIV largely agreed with that in CFD [11] . Further, Sforza et al. described the hemodynamic effects of perianeurysmal structures that caused displacement of the aneurysmal wall in the vertebral artery using yearly computed tomography angiography for 4 years [12] . Finally, Hoi et al. validated the correlation of CFD simulation of a cerebral aneurysm with geometric variation in a rigid aneurysm model [13] .

A limitation of these studies of ruptured and unruptured aneurysms is the restriction to aneurysms with a rigid wall, while an aneurysm wall is normally thin and deformable. The flow behavior for models with an elastic vascular wall has been investigated in CFD. For example, the fluid-structure interaction during pulsatile blood flow is widely used to investigate the influence of wall elasticity on hemodynamics [3] [14] [15] [16] [17] . These studies reported that arterial wall deformation plays an important role in WSS distribution. However, because of the lack of suitable experimental techniques, including availability of an elastic phantom model, it is difficult to validate these results. Lee et al. described flow behavior in an elastic aneurysm model [17] , although the aneurysm wall was too thick, and the wall elasticity was larger than that of human cerebral vessels [18] . Yagi et al. [19] also reported a patient-specific aneurysm model with an elasticity of 0.96 ± 0.115 MPa, although wall thickness of 1.0 ± 0.3 mm (i.e., 0.7 - 1.3 mm) for an aneurysm neck size of 4.3 mm was too thick. Further, a diseased aneurysm wall may be affected by hypertension and have greater elasticity than health vessels. Thus, studies examining the effect of wall elasticity on WSS are required under conditions of suitable wall thickness.

Using PIV and fluid-structure interactions, the temporally- and spatially-averaged WSS in an idealized spherical elastic thin-walled model was reported as 7% less than that in a rigid model [20] [21] . Nevertheless, the effects of wall elasticity on flow characteristics in a pulsatile blood flow have not been reported in a human patient-specific cerebral aneurysm model. Thus, in the present study, a deformable phantom model of a human patient-specific elastic aneurysm at the apex of the bifurcation in the middle cerebral artery was created. The aim of this study was to determine the effects of wall elasticity on the absolute temporally- and spatially-averaged value of WSS and the WSS gradient in a patient-specific model.

2. Methods

2.1. Morphology

The morphology of a human patient-specific aneurysm at the apex of the bifurcation of the middle cerebral artery (MCA) (M1 bifurcates to M2 and M3) is shown in Figure 1. Two efferent vessels M2 and M3 bifurcate from the afferent vessel M1. The left side shows the contour and the wall thickness in the mid-sagittal plane at section S-S’. The contour and the wall thickness at the mid-sagittal plane at the section S-S’ is depicted. The plane perpendicular to the mid-sagittal plane is approximately regarded as a semi-symmetrical plane within the bleb. According to Tobe et al., bleb walls are apt to rupture at a thickness of 50 - 320 μm [22] . A thickness of 0.3 mm was selected to simulate the wall thickness in the full-scale model. The wall thickness in our 3.25-fold model was approximately 1.0 mm (0.30 × 3.25 mm). The inlet diameter d₀ was 2.46 mm × 3.25 = 8.0 mm. The aneurysm neck size (N) was 9.8 mm; the depth (D) was 12.1 mm; the lateral height (H) was 22.0 mm; the bleb neck (d_b) was 6.8 mm, and the aspect ratio was 1.23 [23] . Although the actual vessel consists of three layers, our model was based on one layer.

2.2. Phantom Model

The elastic phantom model was fabricated using photo stereolithographic technology as follows. According to stl (stereolithography) data, the (inner) body of the aneurysm model was enclosed by the outer wall with a space (gap) of 1.2 mm. Silicone elastomer was injected into this space. After the silicone elastomer hardened, the inner and the outer bodies enclosing this space were removed. The pathological image is shown in Figure 2. There are two white thicker hypertrophic regions, and two red thin-walled regions that consist of thin internal elastic lamina without endothelial cells, intima, or smooth muscle cells.

The red, belt-like, thin-walled regions correspond to the vicinity of the stagnation point S where the impingement jet of fluid flow collided, and the bleb bottom B. The two thin-walled regions of the aneurysm wall will be prone to injury. Based on the pathological image shown in Figure 2, the silicon elastomer was painted to form hypertrophic regions (1.6 mm thick), which are thicker than the regions around the stagnation point and the bleb tip. The afferent and efferent walls had a thickness of 2.0 mm to prevent unstable movement of the aneurysm during pulsatile flow.

The non-deformable model was made of silicone elastomer. First, the aneurysm mold was created from plaster using a 3D printer, and then was embedded in the block filled with silicone elastomer. After the silicone elastomer hardened, the plaster mold was removed by dissolving the plaster in water. The elastic and non-deformable models are shown in Figure 3(a) and Figure 3(b), respectively.

The aneurysm wall was made from silicone with an elasticity of E = 0.5 MPa (KE-1606; Shin-Etsu Chemical, Tokyo, Japan). The elasticity was measured using a tensile tester machine (EZ-S; Shimadzu, Kyoto, Japan) with the 8th dumbbell-shaped test piece [24] .

2.3. Measurement

The working fluid was 51.5% aqueous glycerin with a refractive index of 1.41 (identical to that of the silicone elastomer), a density of ρ = 1.14 g/cm³, and a kinematic viscosity of ν = 5.325 × 10⁻⁶ m²/s at 299 K (26˚C). After being charged from the roller pump controlled every 0.25 s (see Figure 4), the working fluid entered into the phantom aneurysm model through a straight afferent tube (length, 320 mm). Inside the aneurysm model, the flow bifurcated into two efferent tubes was adjusted with at the same flow rate Q₂/Q₃ = 1.0 ± 0.04 (Q₂ and Q₃ represent the flow rate through vessels M2 and M3, respectively). The standard deviation of the flow ratio was 4%, which was created using a relatively large flow resistance (tube length, 320 mm; inner diameter, 8.0 mm). The working fluid flow was calculated using and the standard deviation of flow ratio is 4%.; by creating a relatively large flow resistance through a straight afferent tube (length, 320 mm and an inner diameter, 8.0 mm). The working fluid flow was measured using ultrasonic flow meters (TS410; Transonic System).

In the PIV system, the light source was used to measure the velocity vector was a 15-Hz dual-pulse YAG laser with 30-mJ output and a pulse interval ranging of 350 to 1600 μs. A cylindrical lens produced a laser sheet thickness of 0.3 mm, in which was irradiated perpendicular to the mid-sagittal plane of the aneurysm model. Scattered radiation from the tracer particles was recorded with an Image Intense CCD camera (1376 × 1040 pixels, Lavision, Göttingen, Germany) fitted with an AF NIKKOR lens (Nikon, Tokyo, Japan) positioned at the mid-sagittal plane of the aneurysm. The measurement was performed with an interrogation window size of 16 × 16 pixels with 50% overlap. The velocity vector can be estimated from one pixel of 0.0124 mm in the measurement field. We can estimate the velocity vector within a 0.198 × 0.198 mm space by considering particle numbers. WSS in the present experiment was estimated from the tangential velocity along the aneurysm wall at approximately 0.20 - 0.24 mm from the wall.

The scatter material was composed of fluorescent particles 14 μm in diameter. The velocity vector images were obtained as the averaged image through 50 cardiac cycles. Trigger was set up at same phase for the roller pump (every 0.25 s) and was controlled by LabVIEW (National Instruments, USA, Texas). Digital images were processed with DaVis 7 software (LaVision, Göttingen, Germany).

2.4. Experimental Conditions

The pulsatile blood flow wave form at inlet M1, which simulates the flow wave form of Valen-Sendstad et al. [25] , is shown in Figure 5(a). The maximum and mean Reynolds numbers were Re_max = 680 and Re_m = Ud₀/ν = 435, respectively, where d₀ is the diameter of the afferent vessel M1 and U is the mean velocity through the vessel [26] . The pulsatile period and the Womersley number were T = 8.0 s and α = 1.54, respectively. The geometry and the flow similarity (i.e. Reynolds number and Womersley number) were similar to those of full-scale model. Wall deformation (the lateral height and the bleb neck diameter) were also measured with an Image Intense CCD camera under dual-pulse YAG laser at the same flow condition. The height and the bleb neck diameter in the aneurysm were measured every 1/8^th period of pulsatile flow wave without surrounding the working fluid. After measurement, the inner size is estimated from subtracting the wall thickness. Finally, the deformation ratios of the present cerebral aneurysm were defined as follows:

$\Delta {\text{d}}_{\text{b}}/{\text{d}}_{\text{b}}=\left\{\left({\text{d}}_{\text{bmax}}-{\text{d}}_{\text{b}}\right)/{\text{d}}_{\text{b}}\right\}\times \text{1}00\%$

And

$\Delta \text{H}/\text{H}=\left\{\left({\text{H}}_{\text{max}}-\text{H}\right)/\text{H}\right\}\times \text{1}00\%$

where d_b and d_bmax represent the minimum and maximum diameters of the bleb neck, respectively, and H and H_max represent the minimum and maximum heights, respectively.

3. Results

Deformation of the aneurysm height and the bleb neck diameter are shown in Figure 5(b). The height and the bleb neck diameter varied with the pulsatile flow wave form in the M1 vessel. During PIV measurement the wall position could be distinguished from the velocity image data at the same phase during 50 cardiac cycles. The deformation ratios of the bleb neck diameter and the height were Δd_b/d_b = 4.3% and ΔH/H = 3.2%, respectively.

Figure 6(a) and Figure 6(b) shows the velocity vector in the semi-symmetric plane inside the elastic and non-deformable aneurysms, respectively, at two typical phases (mid- and peak systoles). The core flow from vessel M1 enters the dome from right to left, and then collides at the stagnation point S. The large vortex in the upper dome rotates clockwise. After the flow collides at the stagnation point, a counter-clockwise vortex appears in the lower dome (i.e. in the bleb). At peak systole (t/T = 0.250; Figure 6(a)), the flow stream colliding at the stagnation point S shows a unique behavior, with the flow moving upward and then quickly turning downward. Similarly, Figure 6(b) shows the velocity vector in the semi-symmetric plane inside the non-deformable aneurysm model. Although the flow, which moves from right to left over the bleb, is similar to that in the elastic model, the fluid at mid-systole (t/T = 0.125; Figure 6(b)) flows with a high velocity from right to left. Inside the bleb there is one counter-clockwise vortex in the upper dome and one clockwise vortex in the lower bleb.

The distribution of WSS along the bleb wall from the dome inlet (o) in the semi-symmetric plane (bar = standard deviation at each point) is shown in Figure 7. The solid S and outline letters S in Figures 7(a)-(d) denote the stagnation point in the non-deformable and elastic and deformable models, respectively. The results were limited along the bottom line of bleb wall in the semi-symmetric plane. This plane is within a few degrees of perpendicular to the aneurysm wall lower bleb and is approximately symmetrical.

WSS distribution indicates the WSS behavior. According to simple CFD, the z-component of WSS is negligible in the region of s/d₀ < 2.8 with a finite value of the WSS gradient (WSSG). As shown in Figure 5(b), the bleb neck diameter at the mid-systole phase of t/T = 1/8 (1 s) (i.e., the average mid-systole phase at t/T = 1/16 − 3/16) moves at 0.125 mm/s over 1 s with a bleb neck expansion of 0.125 mm. Thus, the wall displacement over 400 μs is 0.125 mm/s × 400 × 10⁻⁶ s = 0.050 mm. The effect of wall displacement of 0.2-mm will be 0.050/0.20 = 0.25 (i.e., 25%. maximum). The magnitude of WSS along the bleb wall in the elastic model was globally smaller than that in the non-deformable model, except at the bleb bottom B. Around the bleb bottom B, WSS was very small or zero in both models. WSS varied throughout the cardiac cycle and the WSSG had a finite value around the point o’. WSSG corresponds to the oscillatory shear index and may be associated with the progression and rupture of aneurysms [9] [26] .

4. Discussion

There are limited data on the effect of wall elasticity on WSS in an experimental patient-specific model. Thus, in the present study we examined the effect of wall elasticity on WSS in a patient-specific aneurysm model under pulsatile blood flow using PIV in vitro. A comparison of the velocity around the bleb (Figure 6(a) vs Figure 6(b)) at mid-systole (t/T = 0.125) showed that the mean velocity across section EE’ (Figure 6(a)) in the elastic model (U_m = 0.27 m/s) was slightly smaller than that across section FF’ (Figure 6(b)) in the non-deformable model (U_m = 0.31 m/s) through the dome inlet. In these sections EE’ and FF’, the mean velocity U_m became globally high. The difference in mean velocity between the elastic and non-deformable models may be related to wall deformation. The global flow rate entering into dome is thought to pass through this cross section with these velocities U_m in approximately uniform velocity profile. Because of pulsatile flow, the volume change in the elastic aneurysm was estimated to increase by approximately (1 + Δd_b/d_b)² × (1 + ΔH/H) - 1 = 0.123 (i.e. 12.3%). When comparing of velocity U_m = 0.27 m/s in the elastic model with that of velocity U_m = 0.31 m/s in the non-deformable model, the flow rate which is proportional to mean velocity through its section, this difference of mean velocity change ΔU_m/U_m (0.31 − 0.27/0.31) in the elastic aneurysm model is approximately 12.9%. This is one of approximate comparison for the deformation. Where the deformation ratios of the bleb neck diameter and the height were Δd_b/d_b = 4.3%. and ΔH/H = 3.2%., respectively, which correspond to pathological data (3% - 7%). [27] [28] [29] . Cebral et al. reported a maximum wall deformation of 0.6 mm over 12 time-points pathologically [30] .

In the present study, WSS was very small near the bleb tip, and with no difference between the elastic and non-deformable models. The absolute temporally- and spatially-averaged value of WSS at the four phases was 0.42 Pa in the elastic model, which was approximately 50% smaller than that in the non-deformable model (from s/d₀ = 0 − 3.8). The degree of WSS reduction was approximately 7% when comparing of the elastic model with the rigid model in the ideal spherical aneurysm model [21] . The degree of WSS reduction depends on the morphology of patient-specific models. Thus, the WSS may be sensitive to overestimation in the non-deformable model compared with that in the elastic model.

The attenuation of WSS may release the hemodynamic force against the vessel wall as previously reported by Torii et al. [3] . As shown in Figure 2, there are two thin-walled regions that consist of thin internal elastic lamina without endothelial cells, intima, or smooth muscle cells. The red, belt-like, thin-walled regions correspond to the vicinity of the stagnation point S where the impingement jet of fluid flow collided. The two thin-walled regions of the aneurysm wall will be prone to injury. There was a site with a negative WSSG immediately adjacent to a site with a positive WSSG. When the afferent vessel diameter of d₀ = 2.46 mm in the full-scale model is defined as the characteristic length, the dimensional WSSG along the distance along the aneurysm wall can be estimated using a full-scale model. The WSS in the afferent vessel was 2.42 Pa at mean velocity; the same distribution of WSS is expected in a full-scale model. In Figure 7(b) (at mid-systole), WSSGs around point o' in the elastic model ranged from +2.93 Pa/mm to −3.25 Pa/mm (Table 1). By contrast, WSSGs in the non-deformable model range from +3.09 Pa/mm to −5.20 Pa/mm. Generally, the absolute value in the non-deformable model is slightly larger than that in the elastic model through the cardiac cycle.

As indicated in the elastic model in Figure 7(b), the absolute temporally- and spatially-averaged value of WSS was smaller than that in non-deformable model. Further, the range of WSSG values in elastic model (+2.93 Pa/mm to −3.25 Pa/mm) was smaller than those of non-deformable model (+3.09 Pa/mm to −5.20 Pa/mm) around the point o’. These positive and negative WSSGs imply stretching and compression, respectively, of the vascular lumen [9] [26] . The stretching and compression might cause local damage, including aneurysm rupture, in the thin-walled region. Our models used only one experimental hemodynamic approach that excluded cell mechanics (i.e., a biological approach). Thus, the correspondence between stretching and compression is closely associated with the pathological data in Figure 2. The positive WSSG is comparable to a report describing the potential for aneurysm initiation at the apex of the bifurcation [6] [9] . By contrast, a negative WSSG is generally associated with the initiation of atherosclerosis. This hemodynamic stress cyclically affects the same site throughout the cardiac cycle. The WSSG in the non-deformable model may be slightly larger than that in the elastic model through four cyclic phases.

To date, the relationship between the pathology and hemodynamics has been locally examined assuming a non-deformable wall. For example, in a CFD study examining the relationship between pathological data and hemodynamics in human cerebral aneurysms [22] , WSS was low and static pressure was slightly high in the thin-walled region. Generally, aneurysm initiation at the apex of a bifurcation occurs with a unique combination of WSSG [26] . In particular, hemodynamic forces such as a smaller finite WSSG in the elastic model may associate with a slower progress and rupture of the aneurysm comprising with non-deformable model [1] [9] .

5. Conclusion

In summary, the elasticity of the aneurysm wall may attenuate the absolute temporally- and spatially-averaged WSS and absolute WSSG. In particularly, the small WSSGs were closely associated with slower progression of cerebral aneurysms. The stretching and compression of the aneurysm wall may also affect the progress of cerebral aneurysms. It is possible that differences in our model size and scale effects may cause the discrepancies with other studies. However, the deformation ratio in this study corresponds with clinical data and our distribution of the WSS results globally simulates those in a full-scale model.

Acknowledgements

The part of the present work was carried out under the Collaborative Research Project of Institute of Fluid Science, Tohoku University. The project codes are J17I060 in 2017 and J18I108 in 2018. This research was partially supported by grants with vote number 4F944, School of Biomedical Engineering and Health Sciences, Universiti Teknologi Malaysia (UTM). We gratefully acknowledge the contribution and support the Ministry of Education Malaysia and Research Management Centre, Universiti Teknologi Malaysia.

We also thank Dr. Teruaki Ikeda of TERAL Inc. and Dr. Takashi Fujiwara of Chiba University, who supported the construction of the aneurysm model from the anatomical data and assisted in processing, and Rebecca Tollefson, DVM, from Edanz Group (www.edanzediting.com/ac) for editing a draft of this manuscript.

No human or animal studies were performed by the authors for this article.

Conflicts of Interest

No benefits in any form have been or will be received from a commercial party related directly or indirectly to the subject of this manuscript.

Cite this paper

Yamaguchi, R., Kotani, T., Tanaka, G., Tupin, S.., Osman, K., Shafii, N.S., Md Khudzari, A.Z., Watanabe, K., Anzai, H., Saito, A. and Ohta, M. (2019) Effects of Elasticity on Wall Shear Stress in Patient-Specific Aneurysm of Cerebral Artery. Journal of Flow Control, Measurement & Visualization, 7, 73-86. https://doi.org/10.4236/jfcmv.2019.72006

References

Nomenclature

D: depth of aneurysm

d_b: diameter of bleb neck

d₀: inlet diameter

H: lateral height of aneurysm

N: neck size of aneurysm

Re_m: mean Reynolds number = Ud₀/ν

T: Period of pulsatile flow

U: mean inlet velocity

α: Womersley number = $\left({\text{d}}_0/\text{2}\right)\sqrt{2\text{π}/\nu T}$

ν: kinematic viscosity of working fluid

ρ: density of working fluid

τ_w: wall shear stress (WSS)