Carotid Strain Imaging with a Locally Optimized Adaptive Bayesian Regularized Motion Tracking Algorithm

Mitchell, Carol; Mukaddim, Rashid Al; Weichmann, Ashley M.; Eliceiri, Kevin W.; Graham, Melissa; Varghese, Tomy

doi:10.1109/ius46767.2020.9251771

Cited by 3 publications

(5 citation statements)

References 39 publications

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“…As novel grayscale ultrasound image analysis techniques become increasingly used in research studies, it is important to understand what these measures represent at a tissue level and how their changes, which reflect changes in CVD risk, reflect changes at the tissue level. In this study, we used a murine model that is designed to develop atherosclerosis (22). Our main finding was that elastin fibers decreased with age in both male and female mice, although this finding only was significant in male mice.…”

Section: Discussionmentioning

confidence: 99%

“…In our study of Apoe tm1Unc mice, we identified a quantifiable change in elastin fiber number from 6 to 16 and 24 weeks, which is much earlier than reported by others (42). However, we used a murine model that is designed to develop atherosclerosis (22). At week 6, there were more elastin fibers present, and histological analysis of the artery demonstrated a pattern of smooth muscle with relatively regularly interspersed elastin.…”

Section: Discussionmentioning

confidence: 99%

“…In vivo image acquisition methods have been described previously ( 23 ). Briefly, ultrasound imaging was performed with the Vevo 2100 high-frequency ultrasound system (Fujifilm VisualSonics, Toronto, ON, Canada) and an MS 700 linear array transducer (center frequency 50 MHz) at 1,000 frames per sec in ECG-gated kilohertz visualization (EKV) mode.…”

Section: Methodsmentioning

confidence: 99%

“…Tissue was harvested from all mice including the superior aortic arch, bilateral common carotid arteries, and internal and external carotid arteries. This study examined changes in the carotid artery wall associated with atherogenesis and included only ApoE mice, which are prone to atherosclerosis (22). It was approved by the University of Wisconsin School of Medicine and Public Health, Institutional Animal Care and Use Committee.…”

Section: Mice Modelsmentioning

confidence: 99%

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Changes in carotid artery texture by ultrasound and elastin features in a murine model

Mitchell¹,

Mukaddim²,

Liu³

et al. 2023

Front. Cardiovasc. Med.

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ObjectiveIn humans, arterial grayscale ultrasound texture features independently predict adverse cardiovascular disease (CVD) events and change with medical interventions. We performed this study to examine how grayscale ultrasound texture features and elastin fibers change in plaque-free segments of the arterial wall in a murine model prone to atherosclerosis.MethodsA total of 10 Apoetm1Unc/J mice (n = 5 male, n = 5 female) were imaged at 6, 16, and 24 weeks of age. Two mice were euthanized at 6 and 16 weeks and the remaining mice at 24 weeks. Texture features were extracted from the ultrasound images of the distal 1.0 mm of the common carotid artery wall, and elastin measures were extracted from histology images. Two-way analysis of variance was used to evaluate associations between week, sex, and grayscale texture features. Texture feature and elastin number comparisons between weeks were conducted using the sex-by-week two-way interaction contrasts. Sex-specific correlations between the number of elastin fibers and grayscale texture features were analyzed by conducting non-parametric Spearman's rank correlation analyses.ResultsArterial wall homogeneity changed significantly in male mice from 6 to 24 weeks, with a mean (SD) of 0.14 (0.03) units at 6 weeks and 0.18 (0.03) units at 24 weeks (p = 0.026). Spatial gray level dependence matrices-homogeneity (SGLD-HOM) also correlated with carotid artery plaque score (rs = 0.707, p = 0.033). Elastin fibers in the region of interest decreased from 6 to 24 weeks for both male and female mice, although only significantly in male mice. The mean (SD) number of elastin fibers for male mice was 5.32 (1.50) at 6 weeks and 3.59 (0.38) at 24 weeks (p = 0.023). For female mice, the mean (SD) number of elastin fibers was 3.98 (0.38) at 6 weeks and 3.46 (0.19) at 24 weeks (p = 0.051).ConclusionGrayscale ultrasound texture features that are associated with increased risk for CVD events in humans were used in a murine model, and the grayscale texture feature SGLD-HOM was shown to change in male mice from 6 weeks to 24 weeks. Structural alterations of the arterial wall (change in elastin fiber number) were observed during this time and may differ by sex.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Mice Modelsmentioning

confidence: 99%

See 2 more Smart Citations

Changes in carotid artery texture by ultrasound and elastin features in a murine model

Mitchell¹,

Mukaddim²,

Liu³

et al. 2023

Front. Cardiovasc. Med.

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“…The proposed algorithm incorporated information from a local spatial neighborhood to regularize 2-D NCC matrices. Note that all previous reports on Bayesian strain imaging utilized information only from its spatial neighbors [ 31 ], [ 48 ]–[ 51 ], [ 55 ], [ 56 ], [ 58 ], [ 59 ]. Recently, we extended the Bayesian regularization algorithm into the temporal domain with the underlying assumption of smooth variation in velocity over a short span of time during tissue deformation [ 60 ] and performed limited validation studies using phantom and murine carotid RF data.…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Bayesian Regularization for Cardiac Strain Imaging: Simulation and In Vivo Results

Mukaddim¹,

Meshram

Weichmann

et al. 2021

IEEE Open J. Ultrason., Ferroelect., Freq. Contr.

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Cardiac strain imaging (CSI) plays a critical role in the detection of myocardial motion abnormalities. Displacement estimation is an important processing step to ensure the accuracy and precision of derived strain tensors. In this paper, we propose and implement Spatiotemporal Bayesian regularization (STBR) algorithms for two-dimensional (2-D) normalized cross-correlation (NCC) based multi-level block matching along with incorporation into a Lagrangian cardiac strain estimation framework. Assuming smooth temporal variation over a short span of time, the proposed STBR algorithm performs displacement estimation using at least four consecutive ultrasound radio-frequency (RF) frames by iteratively regularizing 2-D NCC matrices using information from a local spatiotemporal neighborhood in a Bayesian sense. Two STBR schemes are proposed to construct Bayesian likelihood functions termed as Spatial then Temporal Bayesian (STBR-1) and simultaneous Spatiotemporal Bayesian (STBR-2). Radial and longitudinal strain estimated from a finite-element-analysis (FEA) model of realistic canine myocardial deformation were utilized to quantify strain bias, normalized strain error and total temporal relative error (TTR). Statistical analysis with one-way analysis of variance (ANOVA) showed that all Bayesian regularization methods significantly outperform NCC with lower bias and errors ( p < 0.001 ). However, there was no significant difference among Bayesian methods. For example, mean longitudinal TTR for NCC, SBR, STBR-1 and STBR-2 were 25.41%, 9.27%, 10.38% and 10.13% respectively An in vivo feasibility study using RF data from ten healthy mice hearts were used to compare the elastographic signal-to-noise ratio (SNR e ) calculated using stochastic analysis. STBR-2 had the highest expected SNR e both for radial and longitudinal strain. The mean expected SNR e values for accumulated radial strain for NCC, SBR, STBR-1 and STBR-2 were 5.03, 9.43, 9.42 and 10.58, respectively. Overall results suggest that STBR improves CSI in vivo .

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Bayesian Regularized Strain Imaging for Assessment of Murine Cardiac Function In vivo

Mukaddim

Weichmann

Taylor

et al. 2021

2021 43rd Annual International Conference of the IEEE Engineering in Medicine &Amp; Biology Society (EMBC)

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Carotid Strain Imaging with a Locally Optimized Adaptive Bayesian Regularized Motion Tracking Algorithm

Cited by 3 publications

References 39 publications

Changes in carotid artery texture by ultrasound and elastin features in a murine model

Changes in carotid artery texture by ultrasound and elastin features in a murine model

Spatiotemporal Bayesian Regularization for Cardiac Strain Imaging: Simulation and In Vivo Results

Bayesian Regularized Strain Imaging for Assessment of Murine Cardiac Function In vivo

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