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# Model-based vascular elastography improves the detection of flow-induced carotid artery remodeling in mice

## Abstract

Increased arterial thickness measured with ultrasound correlates with future cardiovascular events, but conventional ultrasound imaging techniques cannot distinguish between intima, media, or atherosclerotic plaque in the carotid artery. In this work, we evaluated how well vascular elastography can detect intimal changes in a mouse model of carotid remodeling. We ligated the left external and internal branches of the carotid artery of male FVB mice and performed sham operations for 2 weeks. High-resolution ultrasound imaging accurately detected lower blood velocities and low blood volume flow in the carotid arteries after ligation in FVB mice. However, ultrasound could not detect differences in the carotid wall even at 2 weeks post-surgery. The Young’s modulus was measured based on displacements of the carotid artery wall, and Young’s modulus was 2-fold greater in shams at 1 week post ligation, and 3-fold greater 2 weeks after ligation. Finally, the higher Young’s modulus was most associated with higher intimal thickness but not medial or adventitial thickness as measured by histology. In conclusion, we developed a robust ultrasound-based elastography method for early detection of intimal changes in small animals.

## Introduction

Diagnostic ultrasound can assess the progression of vascular disease in patients1, but further improvements are needed. Carotid intima-media thickness (IMT) is a surrogate measure of atherosclerosis, and increased IMT correlates with future cardiovascular events2. Although carotid IMT measurements improve the Framingham risk score3, there are concerns about the large variances4 and poor reproducibility of IMT values obtained from the same individuals5 — a problem caused by the poor out-of-plane (elevational) resolution of one-dimensional (1D) transducer arrays4 used in IMT assessment. Additionally, it is difficult to detect preclinical atherosclerosis or classify different plaque components6 with standard ultrasound. This limitation occurs because – except for calcification – ultrasound backscatter signal strength is independent of plaque composition. Emerging ultrasound techniques such elastography show promise in overcoming these limitations by visualizing changes in the biomechanical properties (stiffness) in the underlying tissues’ different echogenicities.

Vascular elastography7,8,9 should allow clinicians to detect early structural changes in carotid arteries. Elastography was originally developed in the late 1980s10 to improve the differential diagnosis of breast cancer. The success of elastography in breast cancer imaging11,12 has inspired researchers to explore different clinical applications including prostate imaging13,14, cardiovascular imaging15,16,17,18, and guiding minimally invasive therapeutic techniques19,20,21. The general principle of elastography can be summarized as follows: (1) use either a quasi-static, harmonic, or transient mechanical source to perturb the tissue; (2) use ultrasound to measure the resulting tissue motion; and (3) use either a simple or inverse recovery method to infer the biomechanical properties of the underlying tissue. Over the last decade, we and others have developed both minimally invasive7,8,22 and non-invasive9,15,17,23,24 elastographic methods for visualizing the Young’s modulus distribution (stiffness maps) of vascular tissues. Most research in vascular elastography has been focused on improving the detection of rupture-prone atherosclerotic plaques15,25,26. Consequently, evaluation of the technique has been performed in either large animals27 or in trials using phantom arteries9. The long-term objective of this work is to establish arterial stiffness as an imaging biomarker for detecting preclinical arthrosclerosis in the carotid artery.

The goal of this research is to corroborate our hypothesis that vascular elastography can detect early structural changes in the arterial tissues. The motivation for conducting this study is that thickening of the intima occurs in the early stages of atherosclerotic process; therefore, an imaging system that can detect these early changes would allow clinical researchers to design interventions that can be evaluated in smaller samples and require shorter follow-up to assess effectivity. Our group has developed a mouse model of low flow-induced carotid thickening without atheroma28, which we will use to study how well vascular elastography can assess structural changes in carotid arteries.

## Results

### Hemodynamic changes in the carotid artery after ligation in FVB mice

Our investigation of several inbred mouse strains suggested that FVB and SJL/J mice developed the most robust carotid intima and media thickening in response to low blood flow29,30. We previously reported that FVB mice have increased maximal constriction of aortic rings as a response to vasoconstrictors (potassium chloride or phenylephrine) compared to other inbred strains of mice31. Our Vevo LAB analyses found no changes in heart functions in shams and ligated FVB mice 1 week or 2 weeks after the procedure (Table S1; Table 1). Diastolic and systolic lumen diameters of the ligated left carotid artery (LCA) were similar or even greater in size compared with shams, but lower than in contralateral right carotid artery (RCA) over the 2-week time period (Table 1). 3D imaging of the LCA after ligation showed significant reduction of the carotid lumen volume (Fig. S1B; Fig. 1B). Blood flow velocity and its integrated parameters were also significantly reduced in ligated LCA (Fig. S1C; Fig. 1C; Table 1). Compensation in the contralateral artery (RCA) resulted in transient increase of the carotid diameters and more consistent lumen volume increase after ligation (Table 1; Fig. S1B; Fig. 1B). However, RCA blood velocity parameters did not reach statistical significance vs. shams at both time points (Fig. S1C; Fig. 1C; Table 1). As we reported previously28,29, the volume blood flow rate decreased by >80% in the ligated LCA and increased by ~60% in the contralateral RCA after 2 weeks in mice (Fig. 1D). The relative RCA volume flow seems to be a little higher at 1 week after ligation (Fig. S1D). The calculated shear stress was consistently reduced in the ligated LCA but normalized in the RCA after ligation (Fig. 1E; Fig. S1E). Thus, ultrasound assessment accurately determined hemodynamic profiles in the carotid arteries after ligation in FVB mice.

### Evaluation of the carotid remodeling in FVB mice by ultrasound

One of the major limitations of ultrasound imaging is the low resolution of artery wall changes that can detect atheromas in mice32. Our previous histological analyses of changes over the 4 week time period showed a detectible increase in carotid remodeling in FVB mice between 1 and 2 weeks after ligation30. Ultrasound was not able to accurately measure carotid thickness in LCA 1 week after ligation (not shown). Even at 2 weeks post-surgery, the changes in ligated LCA carotid thickness did not reach statistical significance (Fig. 2A,B). Despite these limitations, we found that the pulsatility and resistive indexes increased in ligated LCA after 1 and 2 weeks using the Vevo LAB package (Fig. S2A,B; Fig. 2C,D). Finally, the calculated carotid strain decreased significantly in ligated LCA at both time points (Fig. S2C; Fig. 2E). There was a small reduction in carotid strain in the sham LCA at 1 week after the surgery (Fig. S2C). Our results confirmed the limited ability of ultrasound in detecting early changes in carotid thickness in a mouse.

### Elastographic signature of the carotid arteries in FVB mice after ligation

We then computed Young’s modulus by applying our iterative inversion technique33 to the ultrasonically measured displacements of the carotids. We observed that there were differences in Young’s modulus in the LCA and RCA 2 weeks after the ligation and sham operations (Fig. S3A,C; Fig. 3A). However, the low blood flow increased the Young’s modulus of the ligated LCA during that time period (Fig. S3B,D; Fig. 3B). Additionally, elastography allowed us to determine when the remodeling extended into the ligated carotids and showed non-uniform distribution of Young’s modulus compared with shams or contralateral RCA (Fig. S3; Fig. 3B). Quantitative analyses confirmed a gradual increase (from 2-fold to 3-fold) in the ligated LCA Young’s modulus 2 weeks after the surgery (Fig. 3C,D). These findings suggest that elastography techniques enable detection of increased thickness of the carotid artery in a mouse.

### Histological analyses of carotid remodeling in FVB mice

To validate ultrasound-based analyses, we performed serial sectioning of the carotid artery from the carotid bifurcation to the proximal part of the carotid artery as we described previously28,34. The ligation procedure significantly increased carotid thickness in the LCA of FVB mice (Fig. 4A). We confirmed the uniform wall thickening of the ligated LCA in 3D after ligation based on morphometric analyses of the multiple cross-sections (Fig. 4B; Fig. S4). As we previously found in FVB mice29,30, the carotid compartmental volumes quantitatively reflected the 3D distribution of the carotid remodeling (Fig. 4C). Therefore, the histological analyses revealed significant carotid thickening without decline in lumen in mice after ligation.

### Relationship between ultrasound and histological methods of the carotid remodeling in FVB mice

In order to validate histological changes in the carotid arteries, we correlated the elastography profiles in the same animal at the 2-week time-point (Fig. 5). We observed a strong correlation between arterial intimal volume and Young’s modulus, especially when this was normalized to the media in the ligated LCA (Fig. 5A,B). In contrast, medial and adventitial volumes negatively correlated with the Young’s modulus after ligation, while shams exhibited no correlation (Fig. S5). Similarly, reduction in carotid strain was related to a dramatic increase in the Young’s modulus after ligation (Fig. 5C). These results suggest that ultrasound elastography could potentially be used to predict pathological remodeling.

## Discussion

A major finding of our study is that ultrasound-based elastography enabled early detection of increase in intima in a mouse model of flow-induced vascular remodeling. Significantly higher Young’s modulus values corresponded to histological changes in the mouse carotid intimal compartment. This is in contrast to standard ultrasound imaging that gives poor measurements of carotid artery wall changes in mice. Moreover, intimal thickness determined by 3D-projections of carotid histology correlated the most with the higher Young’s modulus. Finally, we found that the standard ultrasound technique is accurate in determining hemodynamic profiles in the carotid arteries after ligation. To our knowledge, this work is one of the first studies to use model-based vascular elastography to investigate carotid artery remodeling in a mouse.

The majority of clinical and experimental efforts focused on artery wall disease use a surrogate parameter for atherosclerosis, the carotid IMT, which correlates with cardiovascular events2. Among mechanical forces that affect the vascular wall, shear stress has been the most studied35. A very popular animal model to mimic carotid remodeling in patients was developed by our group using a ligation procedure on the mouse carotid artery branches28. Our partial ligation resulted in comparable increase in intima vs. the complete cessation of blood flow in the mouse carotid36. Low blood flow and low shear stress (~90%) are the primary hemodynamic forces that induce vascular remodeling in this model, as was shown in an early modification of the ligation procedure on the major branches of the common carotid artery37. Remodeling response requires a threshold below 50% of the original blood flow, as ligation of one branch of the carotid showed no remodeling in a mouse38. There were no changes in systolic blood pressure or heart rate during the 4-week time period after the carotid ligation procedure in mice28,30. In the current study, we confirmed that heart functions remain unaffected two weeks after surgery. The latter suggests that the pathologic blood flow profile is uniquely localized to the ligated LCA in this mouse model. Blood flow velocity profiles were accurately assessed with ultrasound and the calculated volume blood flow was similar to values we previously measured by direct application of the transonic flow-probe28,30. The obvious advantage of ultrasound is its ability to trace the natural history of the carotid thickness without the mechanical damage associated with invasive blood flow measurements28.

Previous experiments in ApoE−/− mice showed validity in assessing carotid atherosclerosis using ultrasound32. In particular, the authors reported that low total longitudinal displacement of the common carotid artery was strongly associated with atherosclerotic plaque development in ApoE−/− mice, similar to humans. Similarly, carotid strain was significantly reduced upon ligation in our study, which occurred because the procedure increased the Young’s modulus (stiffness) of the arterial wall. Atherosclerotic progression in coronary arteries developed almost exclusively in areas of low shear stress in humans39,40. These findings were verified experimentally in ApoE−/− mice that were challenged with the partial ligation model41. Carotid atherosclerotic plaque formation was accelerated, and it peaked 2 weeks after surgery. The authors were able to detect early changes in blood flow profiles in the carotid (1-week time-point) using ultrasound in this model41. Researchers have used high-frequency ultrasound to measure arterial surface roughness, a useful parameter for detecting early atherosclerosis in the carotid arteries in ApoE−/− mice42, but none of the imaging modalities have sufficient resolution to visualize the earliest stages of the atherosclerotic process. Therefore, histological evaluation of the carotid arteries is the standard technique used to assess the degree of pathological carotid remodeling in animals.

Blood flow cessation in the carotid artery can affect the distribution of the intima over the vessel length36. In the current study, we used a histological approach to confirm uniform carotid wall thickening with serial sectioning of 2 mm lengths of the carotid artery as before28. In addition, we visualized histological changes in 3D-projection after ligation by applying the recently published method we developed for vein graft formation in mice34. The volume of the ligated LCA lumen measured with ultrasound was lower than that measured with histology. Specifically, the average length of the carotid proximal to bifurcation measured with ultrasound was 4 mm, compared to 2 mm measured with 3D histology for the same vessel. We believe that greater tissue shrinkage of the carotids from the sham-operated mice due to fixation was the main source of such difference43. Specifically, sham LCA lumen diameter measured using histology was 0.23 mm, while systolic lumen diameter was 0.30 mm vs. diastolic diameter at 0.38 mm. Hence, ligated LCA lumen diameter was 0.32 mm using histology, while systolic lumen diameter was 0.38 mm vs. diastolic diameter at 0.40 mm. Thus, ultrasound imaging is limited compared with histological evaluation of the carotid artery wall remodeling, but ultrasound provides robust blood flow profiles and lumen validation for arterial changes in mice.

Vascular elastography is an emerging ultrasound method for visualizing the biomechanical properties of vascular tissues. It measures strain or displacements induced in arteries in response to the pulsating blood pressure7,8,9, information that when combined with continuum mechanical modeling can produce spatial maps of the intrinsic biomechanical properties44,45,46. Several groups, including ours, are investigating the feasibility of using elastography to improve the detection of rupture-prone atherosclerotic plaques15,25,26. More recently, we demonstrated that vascular elastography can visualize principal stresses within vascular tissues, the primary factor that governs the mechanical stabilities of plaques22. We have also applied vascular elastography to phantoms, and to carotid arteries from rabbits and humans9. Despite the encouraging results for large-size arteries, very little work has been done with small animals. The mouse elastography revealed that Young’s modulus increased noticeably in the LCA after ligation only. More specifically, it was 2-fold greater than the Young’s modulus measured in shams 1 week post-ligation, and 3-fold greater 2 weeks post-ligation. Other physiological parameters (pulsatility and resistive indexes) measured in the ligated LCA increased marginally (~10%) at each time-point. We expected an increased Young’s modulus in remodeled carotids of FVB mice because this strain of mice had greater vasoreactivity to vasoconstrictors than other inbred mouse strains that are prone to increase in intima after vascular injury31,47. Our study suggests that genetic predisposition to higher contractility in FVB mice can be detected by elastography as one of the key biological processes (inflammation, cell apoptosis, calcification, etc.) during intimal proliferation. Future focus on biomechanical changes in mice might uncover important signaling pathways that regulate early pathophysiological changes in the carotid artery.

For over two decades, the intima has been proposed as the soil of atherosclerosis and restenosis, and the primary pathogenic compartment in vascular remodeling48. Like atherosclerotic plaques, histologically-assessed intimal volume positively correlated with Young’s modulus values in the ligated LCA. Interestingly, medial or adventitial thickening in the ligated LCA had no relationship with Young’s modulus. Vascular elastography is a new imaging modality that is constantly being improved. For example, the current approach is performed using strain information obtained from a single cross-section of the artery, which could limit the accuracy of the elastogram. The biomechanics of the vessels is a complex three-dimensional problem; more mechanical information (strains) is needed to give precise estimates of Young’s modulus. We expect 2D ultrasound matrix arrays will address the problem when they become more readily available. Since Young’s modulus depends on both pressure (boundary conditions) and the mechanical properties, we plan to conduct further investigation to determine which of these two variables is most responsible for the observed changes. The results of this study will be the subject of a future communication in this journal. In the clinic, vascular elastography of the carotid artery is performed with lower frequency ultrasound (7–12 MHz) than used in this study, which could lower the sensitivity of vascular elastography.

Despite these limitations, the current approach using vascular elastography should prove useful in comparative studies where the absolute value of Young’s modulus is not important. Furthermore, it should allow high throughput analyses of pathological vascular remodeling in genetically manipulated or pharmacologically treated mice. We were able to detect an unsuccessful ligation procedure using ultrasound imaging in one animal at 1 week post-surgery (not shown). Later, the Young’s modulus and histological measurements in this animal were found to be similar to those in sham-operated mice (not shown). Our new experimental approach could potentially be translated to human trials. Elastographic detection of the stiffer intimal compartment could become a reliable measurement of initiation and progression of atherosclerosis. Previously, pharmacologic interventions in a small group of Mexican patients (VYCTOR study) showed not only a decrease in carotid thickness, but also a decrease in carotid stiffness49.

## Methods

### Animals

Experiments were performed on male FVB/NJ (FVB) mice at age 6–8 weeks purchased from the Jackson Laboratory (Bar Harbor, ME, USA). Mice were housed individually at a 12 hours light and 12 hours dark cycle (lights on from 6 a.m. to 6 p.m.) with free access to chow and water. The University of Rochester Animal Care Committee approved all procedures on animals; the procedures were conducted within the guidelines of the National Institutes of Health for use of laboratory animals.

### Carotid artery ligation

FVB mice (n = 5–6 per group) underwent ligation of the left external and internal branches of the carotid artery with 6–0 silk as described28. The branches of the left carotid artery were isolated but not ligated in sham-operated mice. Mice were anesthetized with a cocktail of ketamine and xylazine (130 mg/kg and 9 mg/kg, respectively, i.p.). Animals were also injected with analgesic Flunixin meglumine (120 mg/kg, i.p.) immediately before and within 12–24 hours after the surgery. Mice were housed individually in an enhanced environment (a plastic house and bedding material) under pathogen-free conditions for 2 weeks post-surgery.

### Ultrasound measurements of the carotid arteries and heart

We used a high-resolution ultrasound system (Vevo2100, FUJIFILM VisualSonics; Toronto Canada) to evaluate carotid remodeling and heart functions in mice, as we recently reported after vein graft surgery34. Mice were anesthetized with isoflurane (gas flow at 100–200 mL/min and vaporizer at 2–3%) and monitored to maintain heart rate above 500 beats/min during measurements. We assessed heart functions, hemodynamic changes, and vascular wall remodeling at 1 week and 2 weeks post-surgery. All imaging was performed with a 128-element transducer operating at 40 MHz (MS550D). Cardiac functions calculated from M-mode of the short axis view in sham-operated and ligated mice were analyzed at 1 and 2 weeks after surgery. A 3-dimentional (3D) image was captured by the Vevo2100 automated stage with 500 μm-step increments just caudal to the external/internal carotid bifurcation acquired using power 3D Doppler in a cross sectional view. We calculated lumen volume (over a 4 mm length), and analyzed blood flow rates, carotid artery wall thickness, and stiffness using Vevo LAB analysis software. Carotid blood flow volume rate was calculated based on the following formula: blood flow = (heart rate × lumen area × velocity time integral)/1,000. Estimation of the mean shear stress was calculated based on the lumen radius and volume flow rate as previously described28. Carotid artery stiffness was determined by the following calculation: resistive index = (peak systolic velocity - end diastolic velocity)/peak systolic velocity; pulsatility index = (peak systolic velocity - end diastolic velocity)/velocity time integral of mean velocity; carotid strain = ((systolic lumen diameter - diastolic lumen diameter)/systolic lumen diameter) ×100. This assumption is valid only for cases where there is parabolic flow. For other cases, we could image through a stand-off layer of known modulus, and reconstruct modulus elastograms using displacement boundary conditions. Since this reconstruction approach provides relative stiffness estimates50, we will use knowledge of the mechanical properties in the stand-off layer to calibrate modulus elastograms.

### Elastography using radio frequency (RF) ultrasound

We applied our vascular elastography image formation process51 to RF echo data collected from FVB mice with the Vevo2100 system. Specifically, we used a two-step process to visualize the Young’s modulus (stiffness) distribution within the vessels. First, we computed axial and lateral displacements by applying a two-dimensional echo tracking technique described in15 to the acquired RF echo frames. All echo tracking was performed with 100 μm by 25.4 μm kernels that overlapped by 80% in both the axial and lateral dimensions. Second, we applied our iterative inversion technique to ultrasonically measured tissue displacements. In these studies, we acquired echo frames from the transverse planes of the carotid artery. We assumed a uniform pressure of 131 mmHg was exerted on the inner lumen. The systolic blood pressure values were obtained using the tail-cuff method in our previously published studies on FVB mice30,52. There were no changes in systolic blood pressure during sham and ligation surgery over the 4-week time course in FVB mice. Our experiments in FVB mice are in agreement with early experiments in rabbits that show no change in blood pressure after ligation of the carotid artery53. In addition, our group recently reported strong correlation between the indirect tail-cuff plethysmography and direct radiotelemetry methods of blood pressure measurements in mice54. We are currently limited in our techniques to accurately measure local arterial pressure profiles upon carotid ligation in a mouse carotid artery. Therefore, absolute Young’s modulus values may not represent arterial stiffness changes during each cardiac cycle. We used a nonlinear optimization algorithm to estimate Young’s modulus from the measured displacements, which we have previously described44,45,46; therefore, we will provide only a brief description of the methodology. Young’s modulus was estimated by finding the distribution that minimized the difference between the measured tissue displacements ($${{\rm{U}}}_{m}$$) and those computed with finite element model ($${\rm{U}}$$). Specifically, we minimized the following objective function:

$$\pi ({\rm{E}})=\tfrac{1}{2}\Vert ({\rm{U}}-{{\rm{U}}}_{m})\Vert +\tfrac{\alpha }{2}\Vert {\rm{E}}\Vert ,$$
(1)

where bold symbols represent vectors; E represents the Young’s modulus distribution and $$\alpha$$ represents the regularization parameter used to constrain the solution. Minimizing Eq. (1) with respect to Young’s modulus produces the matrix solution at the (i + 1) iteration as follows:

$${{\rm{E}}}^{i+1}={\rm{\Delta }}{{\rm{E}}}^{i}+{[J{({{\rm{E}}}^{i})}^{T}J({{\rm{E}}}^{i})+\alpha I]}^{-1}\cdot J{({{\rm{E}}}^{i})}^{T}({{\rm{U}}}^{m}-{\rm{U}}({{\rm{E}}}^{i})),$$
(2)

where T denotes the transpose; I is an identity matrix, $$J({{\rm{E}}}^{i})$$ is the sensitivity matrix at the i th iteration, and $${{\rm{\Delta }}E}^{i}$$ is a vector of Young’s modulus updates. This inverse reconstruction method was implemented in the Python 3.14 programming language, which was compiled on a 16-core Intel Xeon Server that was operating at 2.93 GHz under the Centos 5.6 (64-bit) operating system. All reconstructions were performed using a homogeneous trial solution (E = 20 kPa). At each iteration, we used the finite element method to compute the displacement (axial and lateral) at a given Young’s modulus distribution. We solved the finite element problem by assuming the tissue under investigation exhibited linear isotropic mechanical behavior, and that it was nearly incompressible (Poisson’s ratio = 0.495). A uniform pressure (131 mm Hg) was assumed on the inner lumen and on the outer boundary we used the displacements measured by tracking to imposed Dirichlet boundary conditions.

### Morphometry

We used a cocktail of ketamine and xylazine (130 mg/kg and 9 mg/kg, i.p.) to anesthetize mice right after ultrasound imaging at 2 weeks post-surgery. All animals were perfusion fixed; the carotid arteries were harvested, processed, embedded in paraffin, and cross-sections were prepared as before28. Serial cross-sections were stained with hematoxylin and eosin (DAKO) and morphometry analyzed by MCID image software (Imaging Research Inc, St. Catharines, Ontario Canada) as described28. We measured the carotid lumen, intima, media, and adventitia areas at 200 μm intervals from the carotid bifurcation and calculated compartment volumes for 2,000 μm of the carotid length. It was not possible to measure the intimal layer in non-ligated arteries. Custom software using the MATLAB (The Mathworks Inc., Natick, MA, USA) programming environment was used to generate 3D-volume rendered images from the averaged compartment area over the long axis of the artery as described previously34. Carotid artery compartments were color-coded: black = lumen, yellow = intima, red = media, and green = adventitia. We manually removed a quarter of the area to create an open-ended solid surface of each of the vessel layers.

### Statistical analyses

We report our findings as means ± SEM. We used JMP12.0.0 software (SAS Institute Inc., Cary, NC, USA) for statistical analyses. In our estimations for group size, we have set the Alpha level at 0.05. Based on our previously published data on carotid IMT volume in FVB mice30, the smallest sample size that results in 95% power to detect changes of 185 × 106 μm3 with a standard deviation of 33 is n = 4. Differences between two experimental groups were examined using the Student’s t test. A one-way analysis of variance (ANOVA) test was applied for four experimental groups followed by post hoc comparisons (Student’s t test). The level of p < 0.05 was considered as significant.

### Data availability

All data generated or analyzed during this study are included in this article and Supplementary Information files. No large datasets were generated or analyzed during the current study.

## References

1. Calcagno, C., Mulder, W. J., Nahrendorf, M. & Fayad, Z. A. Systems Biology and Noninvasive Imaging of Atherosclerosis. Arteriosclerosis, thrombosis, and vascular biology 36, e1–8, https://doi.org/10.1161/ATVBAHA.115.306350 (2016).

2. O’Leary, D. H. et al. Carotid-artery intima and media thickness as a risk factor for myocardial infarction and stroke in older adults. Cardiovascular Health Study Collaborative Research Group. The New England journal of medicine 340, 14–22 (1999).

3. Polak, J. F., Szklo, M. & O’Leary, D. H. Carotid Intima-Media Thickness Score, Positive Coronary Artery Calcium Score, and Incident Coronary Heart Disease: The Multi-Ethnic Study of Atherosclerosis. J Am Heart Assoc 6, https://doi.org/10.1161/JAHA.116.004612 (2017).

4. Peters, S. A. et al. Extensive or restricted ultrasound protocols to measure carotid intima-media thickness: analysis of completeness rates and impact on observed rates of change over time. Journal of the American Society of Echocardiography: official publication of the American Society of Echocardiography 25, 91–100, https://doi.org/10.1016/j.echo.2011.09.009 (2012).

5. Lorenz, M. W. et al. Carotid intima-media thickness progression to predict cardiovascular events in the general population (the PROG-IMT collaborative project): a meta-analysis of individual participant data. Lancet 379, 2053–2062, https://doi.org/10.1016/S0140-6736(12)60441-3 (2012).

6. Zhang, Y., Guallar, E., Qiao, Y. & Wasserman, B. A. Is carotid intima-media thickness as predictive as other noninvasive techniques for the detection of coronary artery disease? Arteriosclerosis, thrombosis, and vascular biology 34, 1341–1345, https://doi.org/10.1161/ATVBAHA.113.302075 (2014).

7. de Korte, C. L. & van der Steen, A. F. Intravascular ultrasound elastography: an overview. Ultrasonics 40, 859–865 (2002).

8. Doyley, M. M. et al. Advancing intravascular ultrasonic palpation toward clinical applications. Ultrasound in medicine & biology 27, 1471–1480 (2001).

9. Nayak, R. et al. Principal Strain Vascular Elastography: Simulation and Preliminary Clinical Evaluation. Ultrasound in medicine & biology. https://doi.org/10.1016/j.ultrasmedbio.2016.11.010 (2017).

10. Ophir, J., Cespedes, I., Ponnekanti, H., Yazdi, Y. & Li, X. Elastography: a quantitative method for imaging the elasticity of biological tissues. Ultrasonic imaging 13, 111–134, https://doi.org/10.1177/016173469101300201 (1991).

11. Cespedes, I., Ophir, J., Ponnekanti, H. & Maklad, N. Elastography: elasticity imaging using ultrasound with application to muscle and breast in vivo. Ultrasonic imaging 15, 73–88, https://doi.org/10.1177/016173469301500201 (1993).

12. Insana, M. F., Pellot-Barakat, C., Sridhar, M. & Lindfors, K. K. Viscoelastic imaging of breast tumor microenvironment with ultrasound. Journal of mammary gland biology and neoplasia 9, 393–404, https://doi.org/10.1007/s10911-004-1409-5 (2004).

13. Souchon, R. et al. Ultrasonic elastography using sector scan imaging and a radial compression. Ultrasonics 40, 867–871 (2002).

14. Kallel, F., Price, R. E., Konofagou, E. & Ophir, J. Elastographic imaging of the normal canine prostate in vitro. Ultrasonic imaging 21, 201–215, https://doi.org/10.1177/016173469902100304 (1999).

15. Korukonda, S. et al. Noninvasive vascular elastography using plane-wave and sparse-array imaging. IEEE transactions on ultrasonics, ferroelectrics, and frequency control 60, 332–342, https://doi.org/10.1109/TUFFC.2013.2569 (2013).

16. Sack, I., Rump, J., Elgeti, T., Samani, A. & Braun, J. MR elastography of the human heart: noninvasive assessment of myocardial elasticity changes by shear wave amplitude variations. Magnetic resonance in medicine 61, 668–677, https://doi.org/10.1002/mrm.21878 (2009).

17. Maurice, R. L., Soulez, G., Giroux, M. F. & Cloutier, G. Noninvasive vascular elastography for carotid artery characterization on subjects without previous history of atherosclerosis. Medical physics 35, 3436–3443, https://doi.org/10.1118/1.2948320 (2008).

18. Ribbers, H. et al. Noninvasive two-dimensional strain imaging of arteries: validation in phantoms and preliminary experience in carotid arteries in vivo. Ultrasound in medicine & biology 33, 530–540, https://doi.org/10.1016/j.ultrasmedbio.2006.09.009 (2007).

19. Righetti, R. et al. Elastographic characterization of HIFU-induced lesions in canine livers. Ultrasound in medicine & biology 25, 1099–1113 (1999).

20. Souchon, R. et al. Monitoring the formation of thermal lesions with heat-induced echo-strain imaging: a feasibility study. Ultrasound in medicine & biology 31, 251–259, https://doi.org/10.1016/j.ultrasmedbio.2004.11.004 (2005).

21. Shi, X., Martin, R. W., Rouseff, D., Vaezy, S. & Crum, L. A. Detection of high-intensity focused ultrasound liver lesions using dynamic elastometry. Ultrasonic imaging 21, 107–126, https://doi.org/10.1177/016173469902100203 (1999).

22. Richards, M. S., Perucchio, R. & Doyley, M. M. Visualizing the stress distribution within vascular tissues using intravascular ultrasound elastography: a preliminary investigation. Ultrasound in medicine & biology 41, 1616–1631, https://doi.org/10.1016/j.ultrasmedbio.2015.01.022 (2015).

23. Schmitt, C., Soulez, G., Maurice, R. L., Giroux, M. F. & Cloutier, G. Noninvasive vascular elastography: toward a complementary characterization tool of atherosclerosis in carotid arteries. Ultrasound in medicine & biology 33, 1841–1858, https://doi.org/10.1016/j.ultrasmedbio.2007.05.020 (2007).

24. Hansen, H. H., Richards, M. S., Doyley, M. M. & de Korte, C. L. Noninvasive vascular displacement estimation for relative elastic modulus reconstruction in transversal imaging planes. Sensors (Basel) 13, 3341–3357, https://doi.org/10.3390/s130303341 (2013).

25. Schaar, J. A. et al. Characterizing vulnerable plaque features with intravascular elastography. Circulation 108, 2636–2641, https://doi.org/10.1161/01.CIR.0000097067.96619.1F (2003).

26. Maurice, R. L. et al. Characterization of atherosclerotic plaques and mural thrombi with intravascular ultrasound elastography: a potential method evaluated in an aortic rabbit model and a human coronary artery. IEEE Trans Inf Technol Biomed 12, 290–298 (2008).

27. de Korte, C. L. et al. Identification of atherosclerotic plaque components with intravascular ultrasound elastography in vivo: a Yucatan pig study. Circulation 105, 1627–1630 (2002).

28. Korshunov, V. A. & Berk, B. C. Flow-induced vascular remodeling in the mouse: a model for carotid intima-media thickening. Arteriosclerosis, thrombosis, and vascular biology 23, 2185–2191 (2003).

29. Korshunov, V. A. & Berk, B. C. Strain-dependent vascular remodeling: the “Glagov phenomenon” is genetically determined. Circulation 110, 220–226 (2004).

30. Korshunov, V. A. et al. Plasminogen Activator Expression Correlates with Genetic Differences in Vascular Remodeling. Journal of vascular research 41, 481–490 (2004).

31. Chen, C., Korshunov, V. A., Massett, M. P., Yan, C. & Berk, B. C. Impaired Vasorelaxation in Inbred Mice Is Associated with Alterations in Both Nitric Oxide and Super Oxide Pathways. Journal of vascular research 44, 504–512 (2007).

32. Svedlund, S. & Gan, L. M. Longitudinal common carotid artery wall motion is associated with plaque burden in man and mouse. Atherosclerosis 217, 120–124, https://doi.org/10.1016/j.atherosclerosis.2011.02.046 (2011).

33. Richards, M. S. & Doyley, M. M. Investigating the impact of spatial priors on the performance of model-based IVUS elastography. Physics in medicine and biology 56, 7223–7246, https://doi.org/10.1088/0031-9155/56/22/014 (2011).

34. Batchu, S. N. et al. Axl modulates immune activation of smooth muscle cells in vein graft remodeling. American journal of physiology. Heart and circulatory physiology 309, H1048–1058, https://doi.org/10.1152/ajpheart.00495.2015 (2015).

35. Malek, A. M., Alper, S. L. & Izumo, S. Hemodynamic shear stress and its role in atherosclerosis. JAMA: the journal of the American Medical Association 282, 2035–2042 (1999).

36. Kumar, A. & Lindner, V. Remodeling with neointima formation in the mouse carotid artery after cessation of blood flow. Arteriosclerosis, thrombosis, and vascular biology 17, 2238–2244 (1997).

37. Sullivan, C. & Hoying, J. Flow-dependent remodeling in the carotid artery of fibroblast growth factor-2 knockout mice. Arteriosclerosis, thrombosis, and vascular biology 22, 1100–1105 (2002).

38. Rudic, R. D. et al. Direct evidence for the importance of endothelium-derived nitric oxide in vascular remodeling. The Journal of clinical investigation 101, 731–736 (1998).

39. Stone, P. H. et al. Effect of Endothelial Shear Stress on the Progression of Coronary Artery Disease, Vascular Remodeling, and In-Stent Restenosis in Humans. In vivo 6-Month Follow-Up Study. Circulation 108, 438–444 (2003).

40. Stone, P. H. et al. Regions of low endothelial shear stress are the sites where coronary plaque progresses and vascular remodelling occurs in humans: an in vivo serial study. European heart journal 28, 705–710 (2007).

41. Nam, D. et al. Partial carotid ligation is a model of acutely induced disturbed flow, leading to rapid endothelial dysfunction and atherosclerosis. American journal of physiology. Heart and circulatory physiology 297, H1535–1543 (2009). doi:00510.2009 [pii]10.1152/ajpheart.00510.2009.

42. Niu, L. et al. Surface roughness detection of arteries via texture analysis of ultrasound images for early diagnosis of atherosclerosis. PloS one 8, e76880, https://doi.org/10.1371/journal.pone.0076880 (2013).

43. Hart, M. N. & O’Donnell, S. L. Effects of formaldehyde fixation on basilar artery caliber. Stroke; a journal of cerebral circulation 11, 99–100 (1980).

44. Doyley, M. M. Model-based elastography: a survey of approaches to the inverse elasticity problem. Physics in medicine and biology 57, R35–73, https://doi.org/10.1088/0031-9155/57/3/R35 (2012).

45. de Korte, C. L. et al. Morphological and mechanical information of coronary arteries obtained with intravascular elastography; feasibility study in vivo. European heart journal 23, 405–413, https://doi.org/10.1053/euhj.2001.2806 (2002).

46. Huntzicker, S., Shekhar, H. & Doyley, M. M. Contrast-Enhanced Quantitative Intravascular Elastography: The Impact of Microvasculature on Model-Based Elastography. Ultrasound in medicine & biology 42, 1167–1181, https://doi.org/10.1016/j.ultrasmedbio.2015.12.024 (2016).

47. Kim, S. K., Avila, J. J. & Massett, M. P. Strain survey and genetic analysis of vasoreactivity in mouse aorta. Physiological genomics, physiolgenomics 00054, 2016, https://doi.org/10.1152/physiolgenomics.00054.2016 (2016).

48. Schwartz, S. M., deBlois, D. & O’Brien, E. R. The intima. Soil for atherosclerosis and restenosis. Circulation research 77, 445–465 (1995).

49. Meaney, A. et al. The VYtorin on Carotid intima-media thickness and overall arterial rigidity (VYCTOR) study. Journal of clinical pharmacology 49, 838–847, https://doi.org/10.1177/0091270009337011 (2009).

50. Doyley, M. M., Meaney, P. M. & Bamber, J. C. Evaluation of an iterative reconstruction method for quantitative elastography. Physics in medicine and biology 45, 1521–1540 (2000).

51. Richards, M. S. & Doyley, M. M. Non-rigid image registration based strain estimator for intravascular ultrasound elastography. Ultrasound in medicine & biology 39, 515–533, https://doi.org/10.1016/j.ultrasmedbio.2012.09.023 (2013).

52. Smolock, E. M. et al. A Genetic Locus on Mouse Chromosome 7 Controls Elevated Heart Rate. Physiological genomics 44, 689–698, https://doi.org/10.1152/physiolgenomics.00041.2012 (2012).

53. Marano, G., Palazzesi, S., Vergari, A. & Ferrari, A. U. Protection by shear stress from collar-induced intimal thickening: role of nitric oxide. Arteriosclerosis, thrombosis, and vascular biology 19, 2609–2614 (1999).

54. Batchu, S. N., Smolock, E. M., Dyachenko, I. A., Murashev, A. N. & Korshunov, V. A. Autonomic dysfunction determines stress-induced cardiovascular and immune complications in mice. J Am Heart Assoc 4, https://doi.org/10.1161/JAHA.115.001952 (2015).

## Acknowledgements

The authors would like to thank Orazio Silvano for help with mouse histology. This study was supported in part by funds from the University of Rochester Award 2016 (V.A.K., M.M.D.), R01 HL111291 (C.Y.), R01 HL088400 (C.Y.), and R01 HL134910 (C.Y.).

## Author information

Authors

### Contributions

V.A.K., C.Y., and M.M.D. conception and design of research; V.A.K., D.M.M., and Q.Z. performed experiments; V.A.K., H.W., R.A., and D.M.M. analyzed data; C.Y. and M.M.D. interpreted results of experiments; V.A.K., H.W., R.A., and D.M.M. prepared figures; V.A.K. drafted manuscript; V.A.K., H.W., R.A., D.M.M., C.Y., and M.M.D. edited and revised manuscript; V.A.K., H.W., R.A., D.M.M., Q.Z., C.Y., and M.M.D. approved final version of manuscript.

### Corresponding authors

Correspondence to Vyacheslav A. Korshunov, Chen Yan or Marvin M. Doyley.

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### Competing Interests

V.A.K. has received a research support from Novartis Pharmaceuticals Corp.

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Korshunov, V.A., Wang, H., Ahmed, R. et al. Model-based vascular elastography improves the detection of flow-induced carotid artery remodeling in mice. Sci Rep 7, 12081 (2017). https://doi.org/10.1038/s41598-017-12321-7

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• DOI: https://doi.org/10.1038/s41598-017-12321-7