ArticlePhysics in medicine and biology2012
Methods for robust in vivo strain estimation in the carotid artery.
Article in Physics in medicine and biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 34 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Structural Stability of Carotid Plaque and Symptomatology
Stroke Prevention in the Wisconsin Native American Population
Who cites it
34 citing papers in PubMed, 76 citations in OpenAlex.
- Carotid atherosclerotic plaque instability and cognition determined by ultrasound-measured plaque strain in asymptomatic patients with significant stenosis.Journal of neurosurgery · 2018Trial
- Self-supervised ultrasound B-mode strain elastography using SMURF.Ultrasonics · 2026Article
- Mask R-CNN-based carotid plaque localization in ultrasound images.Journal of medical imaging (Bellingham, Wash.) · 2026Article
- Lagrangian deformation tracking for strain imaging.Progress in biomedical engineering (Bristol, England) · 2026Review
- Comparison of 2D and 3D carotid plaque analysis and longitudinalJournal of medical imaging (Bellingham, Wash.) · 2026Article
- Comparative Analysis of Common Carotid Artery Intima-Media Thickness and Lagrangian Wall Strain in Relation to Cardiovascular Risk Factors Using Ultrasound.Ultrasound in medicine & biology · 2025Article
- Lumen segmentation using a Mask R-CNN in carotid arteries with stenotic atherosclerotic plaque.Ultrasonics · 2024Article
- Polyvinyl Alcohol Phantoms With Heterogeneous Plaques: Estimation of Pulse Wave Velocity at the Stenotic Region Using Pulse Wave Imaging.Ultrasound in medicine & biology · 2024Article
- In Vivo Adaptive Bayesian Regularized Lagrangian Carotid Strain Imaging for Murine Carotid Arteries and Its Associations With Histological Findings.Ultrasound in medicine & biology · 2023Article
- Strain estimation in aortic roots from 4D echocardiographic images using medial modeling and deformable registration.Medical image analysis · 2023Article
- Enhancement of in vivo cardiac photoacoustic signal specificity using spatiotemporal singular value decomposition.Journal of biomedical optics · 2021Article
- Carotid Plaque Strain Indices Were Correlated With Cognitive Performance in a Cohort With Advanced Atherosclerosis, and Traditional Doppler Measures Showed no Association.Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine · 2020Article
- Study of the Relationship Between Ultrasound Strain Indices and Cognitive Decline for Vulnerable Carotid Plaque.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2020Article
- Attenuation Coefficient Parameter Computations for Tissue Composition Assessment of Carotid Atherosclerotic Plaque in Vivo.Ultrasound in medicine & biology · 2020Article
- Locally optimized correlation-guided Bayesian adaptive regularization for ultrasound strain imaging.Physics in medicine and biology · 2020Article
- Hierarchical Motion Estimation With Bayesian Regularization in Cardiac Elastography: Simulation and In Vivo Validation.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2019Article
- Lagrangian carotid strain imaging indices normalized to blood pressure for vulnerable plaque.Journal of clinical ultrasound : JCU · 2019Article
- A Cross-Sectional Investigation of Cognition and Ultrasound-Based Vascular Strain Indices.Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists · 2019Article
- Article
- Comparison of Displacement Tracking Algorithms for in Vivo Electrode Displacement Elastography.Ultrasound in medicine & biology · 2019Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
A hierarchical block-matching motion tracking algorithm for strain imaging is presented. Displacements are estimated with improved robustness and precision by utilizing a Bayesian regularization algorithm and an unbiased subsample interpolation technique. A modified least-squares strain estimator is proposed to estimate strain images from a noisy displacement input while addressing the motion discontinuity at the wall-lumen boundary. Methods to track deformation over the cardiac cycle incorporate a dynamic frame skip criterion to process data frames with sufficient deformation to produce high signal-to-noise displacement and strain images. Algorithms to accumulate displacement and/or strain on particles in a region of interest over the cardiac cycle are described. New methods to visualize and characterize the deformation measured with the full 2D strain tensor are presented. Initial results from patients imaged prior to carotid endarterectomy suggest that strain imaging detects conditions that are traditionally considered high risk including soft plaque composition, unstable morphology, abnormal hemodynamics and shear of plaque against tethering tissue can be exacerbated by neoangiogenesis. For example, a maximum absolute principal strain exceeding 0.2 is observed near calcified regions adjacent to turbulent flow, protrusion of the plaque into the arterial lumen and regions of low echogenicity associated with soft plaques. Non-invasive carotid strain imaging is therefore a potentially useful tool for detecting unstable carotid plaque.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.