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Rakibuzzaman M, Kim HH, Suh SH, Lee BK, Kwon HM, Zhou L. Simulation of stress in a blood vessel due to plaque sediments in coronary artery disease. Biomed Phys Eng Express 2024; 10:045036. [PMID: 38806008 DOI: 10.1088/2057-1976/ad50da] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Accepted: 05/28/2024] [Indexed: 05/30/2024]
Abstract
Atherosclerosis is a cardiovascular disease mainly caused by plaque deposition in blood vessels. Plaque comprises components such as thrombosis, fibrin, collagen, and lipid core. It plays an essential role in inducing rupture in a blood vessel. Generally, Plaque could be described as three kinds of elastic models: cellular Plaque, hypocellular Plaque, and calcified Plaque. The present study aimed to investigate the behavior of atherosclerotic plaque rupture according to different lipid cores using Fluid-Structure Interaction (FSI). The blood vessel was also varied with different thicknesses (0.05, 0.25, and 0.5 mm). In this study, FSI simulation with a cellular plaque model with various thicknesses was investigated to obtain information on plaque rupture. Results revealed that the blood vessel with Plaque having a lipid core represents higher stresses than those without a lipid core. Blood vessels' thin thickness, like a thin cap, results in more considerable than Von Mises stress. The result also suggests that even at low fracture stress, the risk of rupture due to platelet decomposition at the gap was more significant for cellular plaques.
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Affiliation(s)
- Md Rakibuzzaman
- Research Center of Fluid Machinery Engineering and Technology, Jiangsu University, Zhenjiang, 212013, People's Republic of China
- Department of Mechanical Engineering, International University of Business Agriculture and Technology, Dhaka, 1230, Bangladesh
| | - Hyoung-Ho Kim
- School of Mechanical Material Convergence Engineering, Gyeongsang National University, Jinju, 52725, Republic of Korea
| | - Sang-Ho Suh
- School of Mechanical Engineering, Soongsil University, Seoul, 06978, Republic of Korea
| | - Byoung-Kwon Lee
- Department of Internal Medicine, Gangnam Severance Hospital, 211 Eonju-ro, Gangnam-Gu, Seoul, 06273, Republic of Korea
| | - Hyuck Moon Kwon
- Department of Internal Medicine, Gangnam Severance Hospital, 211 Eonju-ro, Gangnam-Gu, Seoul, 06273, Republic of Korea
| | - Ling Zhou
- Research Center of Fluid Machinery Engineering and Technology, Jiangsu University, Zhenjiang, 212013, People's Republic of China
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2
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Latorre ÁT, Martínez MA, Peña E. Characterizing atherosclerotic tissues: in silico analysis of mechanical properties using intravascular ultrasound and inverse finite element methods. Front Bioeng Biotechnol 2023; 11:1304278. [PMID: 38152285 PMCID: PMC10751321 DOI: 10.3389/fbioe.2023.1304278] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Accepted: 11/27/2023] [Indexed: 12/29/2023] Open
Abstract
Atherosclerosis is a prevalent cause of acute coronary syndromes that consists of lipid deposition inside the artery wall, creating an atherosclerotic plaque. Early detection may prevent the risk of plaque rupture. Nowadays, intravascular ultrasound (IVUS) is the most common medical imaging technology for atherosclerotic plaque detection. It provides an image of the section of the coronary wall and, in combination with new techniques, can estimate the displacement or strain fields. From these magnitudes and by inverse analysis, it is possible to estimate the mechanical properties of the plaque tissues and their stress distribution. In this paper, we presented a methodology based on two approaches to characterize the mechanical properties of atherosclerotic tissues. The first approach estimated the linear behavior under particular pressure. In contrast, the second technique yielded the non-linear hyperelastic material curves for the fibrotic tissues across the complete physiological pressure range. To establish and validate this method, the theoretical framework employed in silico models to simulate atherosclerotic plaques and their IVUS data. We analyzed different materials and real geometries with finite element (FE) models. After the segmentation of the fibrotic, calcification, and lipid tissues, an inverse FE analysis was performed to estimate the mechanical response of the tissues. Both approaches employed an optimization process to obtain the mechanical properties by minimizing the error between the radial strains obtained from the simulated IVUS and those achieved in each iteration. The second methodology was successfully applied to five distinct real geometries and four different fibrotic tissues, getting median R 2 of 0.97 and 0.92, respectively, when comparing the real and estimated behavior curves. In addition, the last technique reduced errors in the estimated plaque strain field by more than 20% during the optimization process, compared to the former approach. The findings enabled the estimation of the stress field over the hyperelastic plaque tissues, providing valuable insights into its risk of rupture.
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Affiliation(s)
- Álvaro T. Latorre
- Aragón Institute for Engineering Research (I3A), University of Zaragoza, Zaragoza, Spain
| | - Miguel A. Martínez
- Aragón Institute for Engineering Research (I3A), University of Zaragoza, Zaragoza, Spain
- CIBER de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Zaragoza, Spain
| | - Estefanía Peña
- Aragón Institute for Engineering Research (I3A), University of Zaragoza, Zaragoza, Spain
- CIBER de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Zaragoza, Spain
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Caballero R, Martínez MÁ, Peña E. Coronary artery properties in atherosclerosis: A deep learning predictive model. Front Physiol 2023; 14:1162436. [PMID: 37089419 PMCID: PMC10113490 DOI: 10.3389/fphys.2023.1162436] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Accepted: 03/21/2023] [Indexed: 04/25/2023] Open
Abstract
In this work an Artificial Neural Network (ANN) was developed to help in the diagnosis of plaque vulnerability by predicting the Young modulus of the core (E core ) and the plaque (E plaque ) of atherosclerotic coronary arteries. A representative in silico database was constructed to train the ANN using Finite Element simulations covering the ranges of mechanical properties present in the bibliography. A statistical analysis to pre-process the data and determine the most influential variables was performed to select the inputs of the ANN. The ANN was based on Multilayer Perceptron architecture and trained using the developed database, resulting in a Mean Squared Error (MSE) in the loss function under 10-7, enabling accurate predictions on the test dataset for E core and E plaque . Finally, the ANN was applied to estimate the mechanical properties of 10,000 realistic plaques, resulting in relative errors lower than 3%.
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Affiliation(s)
- Ricardo Caballero
- Aragón Institute of Engineering Research (I3A), University of Zaragoza, Zaragoza, Spain
| | - Miguel Ángel Martínez
- Aragón Institute of Engineering Research (I3A), University of Zaragoza, Zaragoza, Spain
- Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicina (CIBER-BBN), Madrid, Spain
| | - Estefanía Peña
- Aragón Institute of Engineering Research (I3A), University of Zaragoza, Zaragoza, Spain
- Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicina (CIBER-BBN), Madrid, Spain
- *Correspondence: Estefanía Peña,
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Huang Y, Wang S, Luo T, Du MHF, Sun C, Sadat U, Schönlieb CB, Gillard JH, Zhang J, Teng Z. Estimation of the zero-pressure computational start shape of atherosclerotic plaques: Improving the backward displacement method with deformation gradient tensor. J Biomech 2022; 131:110910. [PMID: 34954525 DOI: 10.1016/j.jbiomech.2021.110910] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Revised: 10/16/2021] [Accepted: 12/10/2021] [Indexed: 01/06/2023]
Abstract
Advances in medical imaging have enabled patient-specific biomechanical modelling of arterial lesions such as atherosclerosis and aneurysm. Geometry acquired from in-vivo imaging is already pressurized and a zero-pressure computational start shape needs to be identified. The backward displacement algorithm was proposed to solve this inverse problem, utilizing fixed-point iterations to gradually approach the start shape. However, classical fixed-point implementations were reported with suboptimal convergence properties under large deformations. In this paper, a dynamic learning rate guided by the deformation gradient tensor was introduced to control the geometry update. The effectiveness of this new algorithm was demonstrated for both idealized and patient-specific models. The proposed algorithm led to faster convergence by accelerating the initial steps and helped to avoid the non-convergence in large-deformation problems.
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Affiliation(s)
- Yuan Huang
- EPSRC Cambridge Mathematics of Information in Healthcare, University of Cambridge, Cambridge, UK; Department of Radiology, University of Cambridge, Cambridge, UK
| | - Shuo Wang
- Department of Radiology, University of Cambridge, Cambridge, UK; Shanghai Key Laboratory of Medical Imaging Computing and Computer Assisted Intervention, Fudan University, Shanghai, China; Digital Medical Research Center, School of Basic Medical Sciences, Fudan University, Shanghai, China
| | - Tao Luo
- Department of Engineering, University of Cambridge, Cambridge, UK
| | - Michael Hong-Fei Du
- Department of Radiology, University of Cambridge, Cambridge, UK; John Farman Intensive Care Unit, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Chang Sun
- Department of Radiology, University of Cambridge, Cambridge, UK
| | - Umar Sadat
- Cambridge Vascular Unit, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Carola-Bibiane Schönlieb
- EPSRC Cambridge Mathematics of Information in Healthcare, University of Cambridge, Cambridge, UK; Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge, UK
| | | | - Jianjun Zhang
- Department of Radiology, Zhejiang Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Zhongzhao Teng
- Department of Radiology, University of Cambridge, Cambridge, UK; Nanjing Jingsan Medical Science and Technology, Ltd, Jiangsu, China.
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He Z, Mongrain R, Lessard S, Chayer B, Cloutier G, Soulez G. Anthropomorphic and biomechanical mockup for abdominal aortic aneurysm. Med Eng Phys 2020; 77:60-68. [PMID: 31954613 DOI: 10.1016/j.medengphy.2019.12.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2019] [Revised: 09/08/2019] [Accepted: 12/15/2019] [Indexed: 11/16/2022]
Abstract
Abdominal aortic aneurysm (AAA) is an asymptomatic condition due to the dilation of abdominal aorta along with progressive wall degeneration, where rupture of AAA is life-threatening. Failures of AAA endovascular repair (EVAR) reflect our inadequate knowledge about the complex interaction between the aortic wall and medical devices. In this regard, we are presenting a hydrogel-based anthropomorphic mockup (AMM) to better understand the biomechanical constraints during EVAR. By adjusting the cryogenic treatments, we tailored the hydrogel to mimic the mechanical behavior of human AAA wall, thrombus and abdominal fat. A specific molding sequence and a pressurizing system were designed to reproduce the geometrical and diseased characteristics of AAA. A mechanically, anatomically and pathologically realistic AMM for AAA was developed for the first time, EVAR experiments were then performed with and without the surrounding fat. Substantial displacements of the aortic centerlines and vessel expansion were observed in the case without surrounding fat, revealing an essential framework created by the surrounding fat to account for the interactions with medical devices. In conclusion, the importance to consider surrounding tissue for the global deformation of AAA during EVAR was highlighted. Furthermore, potential use of this AMM for medical training was also suggested.
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Affiliation(s)
- Zinan He
- McGill University, 845 Sherbrooke Street West, Montréal, Québec H3A 0G4, Canada; Centre de recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), 900 Rue Saint-Denis, Montréal, Québec H2X 0A9, Canada
| | - Rosaire Mongrain
- McGill University, 845 Sherbrooke Street West, Montréal, Québec H3A 0G4, Canada
| | - Simon Lessard
- Centre de recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), 900 Rue Saint-Denis, Montréal, Québec H2X 0A9, Canada
| | - Boris Chayer
- Centre de recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), 900 Rue Saint-Denis, Montréal, Québec H2X 0A9, Canada
| | - Guy Cloutier
- Centre de recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), 900 Rue Saint-Denis, Montréal, Québec H2X 0A9, Canada; Université de Montréal, 2900 Boulevard Edouard-Montpetit, Montréal, Québec H3T 1J4, Canada
| | - Gilles Soulez
- Centre de recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), 900 Rue Saint-Denis, Montréal, Québec H2X 0A9, Canada; Université de Montréal, 2900 Boulevard Edouard-Montpetit, Montréal, Québec H3T 1J4, Canada.
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6
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Chayer B, van den Hoven M, Cardinal MHR, Li H, Swillens A, Lopata R, Cloutier G. Atherosclerotic carotid bifurcation phantoms with stenotic soft inclusions for ultrasound flow and vessel wall elastography imaging. ACTA ACUST UNITED AC 2019; 64:095025. [DOI: 10.1088/1361-6560/ab1145] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
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7
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Gómez A, Tacheau A, Finet G, Lagache M, Martiel JL, Floc'h SL, Yazdani SK, Elias-Zuñiga A, Pettigrew RI, Cloutier G, Ohayon J. Intraluminal Ultrasonic Palpation Imaging Technique Revisited for Anisotropic Characterization of Healthy and Atherosclerotic Coronary Arteries: A Feasibility Study. ULTRASOUND IN MEDICINE & BIOLOGY 2019; 45:35-49. [PMID: 30348475 DOI: 10.1016/j.ultrasmedbio.2018.08.020] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/14/2018] [Revised: 08/09/2018] [Accepted: 08/27/2018] [Indexed: 06/08/2023]
Abstract
Accurate mechanical characterization of coronary atherosclerotic lesions remains essential for the in vivo detection of vulnerable plaques. Using intravascular ultrasound strain measurements and based on the mechanical response of a circular and concentric vascular model, E. I. Céspedes, C. L. de Korte and A. F. van der Steen developed an elasticity-palpography technique in 2000 to estimate the apparent stress-strain modulus palpogram of the thick subendoluminal arterial wall layer. More recently, this approach was improved by our group to consider the real anatomic shape of the vulnerable plaque. Even though these two studies highlighted original and promising approaches for improving the detection of vulnerable plaques, they did not overcome a main limitation related to the anisotropic mechanical behavior of the vascular tissue. The present study was therefore designed to extend these previous approaches by considering the orthotropic mechanical properties of the arterial wall and lesion constituents. Based on the continuum mechanics theory prescribing the strain field, an elastic anisotropy index was defined. This new anisotropic elasticity-palpography technique was successfully applied to characterize ten coronary plaque and one healthy vessel geometries of patients imaged in vivo with intravascular ultrasound. The results revealed that the anisotropy index-palpograms were estimated with a good accuracy (with a mean relative error of 26.8 ± 48.8%) compared with ground true solutions.
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Affiliation(s)
- Armida Gómez
- Laboratory TIMC-IMAG/DyCTiM, UGA, CNRS UMR 5525, Grenoble, France
| | - Antoine Tacheau
- Laboratory TIMC-IMAG/DyCTiM, UGA, CNRS UMR 5525, Grenoble, France
| | - Gérard Finet
- Department of Hemodynamics and Interventional Cardiology, Hospices Civils de Lyon and Claude Bernard University Lyon1, INSERM Unit 886, Lyon, France
| | - Manuel Lagache
- Laboratory SYMME, SYMME, University Savoie Mont-Blanc, France; Polytech Annecy-Chambéry, University Savoie Mont-Blanc, Le Bourget du Lac, France
| | | | - Simon Le Floc'h
- Laboratory LMGC, CNRS UMR 5508, University of Montpellier II, Montpellier, France
| | - Saami K Yazdani
- Department of Mechanical Engineering, University of South Alabama, Mobile, Alabama, USA
| | - Alex Elias-Zuñiga
- Department of Mechanical Engineering Instituto Tecnológico y de Estudios Superiores de Monterrey, Campus Monterrey, Monterrey, Mexico
| | | | - Guy Cloutier
- Laboratory of Biorheology and Medical Ultrasonics, University of Montreal Hospital Research Center (CRCHUM), Montréal, Québec, Canada
| | - Jacques Ohayon
- Laboratory TIMC-IMAG/DyCTiM, UGA, CNRS UMR 5525, Grenoble, France; Polytech Annecy-Chambéry, University Savoie Mont-Blanc, Le Bourget du Lac, France.
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8
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Nayak R, Schifitto G, Doyley MM. Visualizing Angle-Independent Principal Strains in the Longitudinal View of the Carotid Artery: Phantom and In Vivo Evaluation. ULTRASOUND IN MEDICINE & BIOLOGY 2018; 44:1379-1391. [PMID: 29685590 PMCID: PMC5960628 DOI: 10.1016/j.ultrasmedbio.2018.03.012] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/16/2017] [Revised: 02/08/2018] [Accepted: 03/16/2018] [Indexed: 05/03/2023]
Abstract
Non-invasive vascular elastography can evaluate the stiffness of the carotid artery by visualizing the vascular strain distribution. Axial strain estimates of the longitudinal cross section of the carotid artery are sensitive to the angle between the artery and the transducer. Anatomical variations in branching and arching of the carotid artery can affect the assessment of arterial stiffness. In this study, we hypothesized that principal strain elastograms computed using compounded plane wave imaging can reliably visualize the strain distribution in the carotid artery, independent of the transducer angle. We corroborated this hypothesis by conducting phantom and in vivo studies using a commercial ultrasound scanner (Sonix RP, Ultrasonix Medical Corp., Richmond, BC, Canada). The phantom studies were conducted using a homogeneous cryogel vessel phantom. The goal of the phantom study was to assess the feasibility of visualizing the radial deformation in the longitudinal plane of the vessel phantom, independent of the transducer angle (±30°, ±20°, ±10° and 0°). The in vivo studies were conducted on 20 healthy human volunteers in the age group 50-60 y. All echo imaging was performed at a transmit frequency of 5 MHz and sampling frequency of 40 MHz. The elastograms obtained from the phantom study revealed that for straight vessels, which had their lumen parallel to the transducer, principal strains were similar to axial strains. At non-parallel configurations (angles ±30°, ±20° and ±10°), the magnitudes of the mean principal strains were within 2.5% of the parallel configuration (0° angle) estimates and, thus, were observed to be relatively unaffected by change in angle. However, in comparison, the magnitude of the axial strain decreased with increase in angle because of coordinate dependency. Further, the pilot in vivo study indicated that the principal and axial strain elastograms were similar for subjects with relatively straight arteries. However, for arteries with arched geometry, axial strains were significantly lower (p <0.01) than the corresponding principal vascular strains, which was consistent with the results obtained from the phantom study. In conclusion, the results of the phantom and in vivo studies revealed that principal strain elastograms computed using CPW imaging could reliably visualize angle-independent vascular strains in the longitudinal plane of the carotid artery.
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Affiliation(s)
- Rohit Nayak
- Department of Electrical and Computer Engineering, University of Rochester, Rochester, New York, USA.
| | - Giovanni Schifitto
- Department of Neurology, School of Medicine and Dentistry, University of Rochester Medical Center, Rochester, New York, USA
| | - Marvin M Doyley
- Department of Electrical and Computer Engineering, University of Rochester, Rochester, New York, USA; Department of Biomedical Engineering, University of Rochester, Rochester, New York, USA
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Poree J, Chayer B, Soulez G, Ohayon J, Cloutier G. Noninvasive Vascular Modulography Method for Imaging the Local Elasticity of Atherosclerotic Plaques: Simulation and In Vitro Vessel Phantom Study. IEEE TRANSACTIONS ON ULTRASONICS, FERROELECTRICS, AND FREQUENCY CONTROL 2017; 64:1805-1817. [PMID: 28961110 DOI: 10.1109/tuffc.2017.2757763] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
Mechanical and morphological characterization of atherosclerotic lesions in carotid arteries remains an essential step for the evaluation of rupture prone plaques and the prevention of strokes. In this paper, we propose a noninvasive vascular imaging modulography (NIV-iMod) method, which is capable of reconstructing a heterogeneous Young's modulus distribution of a carotid plaque from the Von Mises strain elastogram. Elastograms were computed with noninvasive ultrasound images using the Lagrangian speckle model estimator and a dynamic segmentation-optimization procedure to highlight mechanical heterogeneities. This methodology, based on continuum mechanics, was validated in silico with finite-element model strain fields and ultrasound simulations, and in vitro with polyvinyl alcohol cryogel phantoms based on magnetic resonance imaging geometries of carotid plaques. In silico, our results show that the NiV-iMod method: 1) successfully detected and quantified necrotic core inclusions with high positive predictive value (PPV) and sensitivity value (SV) of 81±10% and 91±6%; 2) quantified Young's moduli of necrotic cores, fibrous tissues, and calcium inclusions with mean values of 32±23, 515±30, and 3160±218 kPa (ground true values are 10, 600, and 5000 kPa); and 3) overestimated the cap thickness by . In vitro, the PPV and SV for detecting soft inclusions were 60±21% and 88±9%, and Young's modulus mean values of mimicking lipid, fibrosis, and calcium were 34±19, 193±14, and 649±118 kPa (ground true values are 25±3, 182±21, and 757±87 kPa).
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Choi W, Park SH, Huh HK, Lee SJ. Hemodynamic characteristics of flow around a deformable stenosis. J Biomech 2017; 61:216-223. [PMID: 28835343 DOI: 10.1016/j.jbiomech.2017.07.033] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2017] [Revised: 06/06/2017] [Accepted: 07/22/2017] [Indexed: 10/19/2022]
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11
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Nayak R, Huntzicker S, Ohayon J, Carson N, Dogra V, Schifitto G, Doyley MM. Principal Strain Vascular Elastography: Simulation and Preliminary Clinical Evaluation. ULTRASOUND IN MEDICINE & BIOLOGY 2017; 43:682-699. [PMID: 28057387 PMCID: PMC5309152 DOI: 10.1016/j.ultrasmedbio.2016.11.010] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/27/2016] [Revised: 09/28/2016] [Accepted: 11/14/2016] [Indexed: 05/03/2023]
Abstract
It is difficult to produce reliable polar strain elastograms (radial and circumferential) because the center of the carotid artery is typically unknown. Principal strain imaging can overcome this limitation, but suboptimal lateral displacement estimates make this an impractical approach for visualizing mechanical properties within the carotid artery. We hypothesized that compounded plane wave imaging can minimize this problem. To test this hypothesis, we performed (i) simulations with vessels of varying morphology and mechanical behavior (i.e., isotropic and transversely isotropic), and (ii) a pilot study with 10 healthy volunteers. The accuracy of principal and polar strain (computed using knowledge of the precise vessel center) elastograms varied between 7% and 17%. In both types of elastograms, strain concentrated at the junction between the fibrous cap and the vessel wall, and the strain magnitude decreased with increasing fibrous cap thickness. Elastograms of healthy volunteers were consistent with those of transversely isotropic homogeneous vessels; they were spatially asymmetric, a trend that was common to both principal and polar strains. No significant differences were observed in the mean strain recovered from principal and polar strains (p > 0.05). This investigation indicates that principal strain elastograms measured with compounding plane wave imaging overcome the problems incurred when polar strain elastograms are computed with imprecise estimates of the vessel center.
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Affiliation(s)
- Rohit Nayak
- Department of Electrical and Computer Engineering, University of Rochester, Rochester, New York, USA
| | - Steven Huntzicker
- Department of Electrical and Computer Engineering, University of Rochester, Rochester, New York, USA
| | - Jacques Ohayon
- Laboratory TIMC-IMAG/DyCTiM, University Joseph-Fourier, CNRS UMR 5525, Grenoble, France
| | - Nancy Carson
- Department of Imaging Sciences, School of Medicine and Dentistry, University of Rochester Medical Center, Rochester, New York, USA
| | - Vikram Dogra
- Department of Imaging Sciences, School of Medicine and Dentistry, University of Rochester Medical Center, Rochester, New York, USA
| | - Giovanni Schifitto
- Department of Neurology, School of Medicine and Dentistry, University of Rochester Medical Center, Rochester, New York, USA
| | - Marvin M Doyley
- Department of Electrical and Computer Engineering, University of Rochester, Rochester, New York, USA; Department of Biomedical Engineering, University of Rochester, Rochester, New York, USA.
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12
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Tacheau A, Le Floc'h S, Finet G, Doyley MM, Pettigrew RI, Cloutier G, Ohayon J. The Imaging Modulography Technique Revisited for High-Definition Intravascular Ultrasound: Theoretical Framework. ULTRASOUND IN MEDICINE & BIOLOGY 2016; 42:727-741. [PMID: 26738628 DOI: 10.1016/j.ultrasmedbio.2015.11.015] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/24/2015] [Revised: 10/10/2015] [Accepted: 11/13/2015] [Indexed: 06/05/2023]
Abstract
Mechanical characterization of atherosclerotic lesions remains an essential step for the detection of vulnerable plaques (VPs). Recently, an intravascular ultrasound (IVUS) elasticity reconstruction method (iMOD) has been tested in vivo by our group. The major limitation of iMOD is the need to estimate the strain field in the entire VP despite attenuated depth penetration signals when using high-definition (HD) IVUS systems. Therefore, an extended iMOD approach (E-iMOD) was designed and applied to coronary lesions of patients imaged in vivo with IVUS. The E-iMOD method (i) quantified necrotic core areas with a mean absolute relative error of 3.5 ± 3.5% and (ii) identified Young's moduli of the necrotic cores and fibrous regions with mean values of 5.7 ± 0.8 kPa and 794.5 ± 22.0 kPa instead of 5 kPa and 800 kPa, respectively. This study demonstrates the potential of the improved HD-IVUS modulography technique E-iMOD to characterize coronary VPs.
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Affiliation(s)
- Antoine Tacheau
- Laboratory TIMC-IMAG/DyCTiM, UJF, CNRS UMR 5525, Grenoble, France
| | - Simon Le Floc'h
- Laboratory LMGC, CNRS UMR 5508, University of Montpellier II, Montpellier, France
| | - Gérard Finet
- Department of Hemodynamics and Interventional Cardiology, Hospices Civils de Lyon and Claude Bernard University Lyon, INSERM Unit 886, Lyon, France
| | - Marvin M Doyley
- Department of Electrical and Computer Engineering, University of Rochester, Rochester, New York, USA
| | - Roderic I Pettigrew
- Laboratory of Integrative Cardiovascular Imaging Science, National Institute of Diabetes, Digestive, and Kidney Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Guy Cloutier
- Laboratory of Biorheology and Medical Ultrasonics, University of Montreal Hospital Research Center (CRCHUM), Montréal, Québec, Canada
| | - Jacques Ohayon
- Laboratory TIMC-IMAG/DyCTiM, UJF, CNRS UMR 5525, Grenoble, France; University Grenoble-Alpes, Polytech Annecy-Chambéry, Le Bourget du Lac, France.
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13
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Wang Z, Liu N, Zhang L, Li X, Han X, Peng Y, Dang M, Sun L, Tian J. Real-Time Elastography Visualization and Histopathological Characterization of Rabbit Atherosclerotic Carotid Arteries. ULTRASOUND IN MEDICINE & BIOLOGY 2016; 42:176-184. [PMID: 26381920 DOI: 10.1016/j.ultrasmedbio.2015.08.007] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/21/2015] [Revised: 07/21/2015] [Accepted: 08/08/2015] [Indexed: 06/05/2023]
Abstract
To evaluate the feasibility of non-invasive vascular real-time elastography imaging (RTE) in visualizing the composition of rabbit carotid atherosclerotic plaque as determined by histopathology, a rabbit model of accelerated carotid atherosclerosis was used. Thirty rabbits were randomly divided into two groups of 15 rabbits each. The first group was fed a cholesterol-rich diet and received balloon-induced injury the left common carotid artery endothelium, whereas the second group only received a cholesterol-rich diet. The rabbits were all examined in vivo with HITACHI non-invasive vascular real-time elastography (Hi-RTE) at baseline and 12 wk, and results from the elastography were compared with American Heart Association histologic classifications. Hi-RTE and the American Heart Association histologic classifications had good agreement, with weighted Cohen's kappa (95% confidence internal) of 0.785 (0.649-0.920). Strains of segmented plaques that were stained in different colors were statistically different (p < 0.0001). The sensitivity and specificity of elastograms for detecting a lipid core were 95.5% and 61.5%, respectively, and the area under the receiver operating characteristic curve was 0.789, with a 95% confidence interval of 0.679 to 0.876. This study is the first to indicate the feasibility of utilizing Hi-RTE in visualizing normal and atherosclerotic rabbit carotid arteries non-invasively. This affordable and reliable method can be widely applied in research of both animal and human peripheral artery atherosclerosis.
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Affiliation(s)
- ZhenZhen Wang
- Department of Ultrasound, Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - NaNa Liu
- Department of Ultrasound, Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - LiFeng Zhang
- Department of Ultrasound, DaQing Fourth Hospital, DaQing, China
| | - XiaoYing Li
- Department of Ultrasound, Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - XueSong Han
- Department of Ultrasound, Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - YanQing Peng
- Department of Ultrasound, Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - MeiZheng Dang
- Department of Ultrasound, Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - LiTao Sun
- Department of Ultrasound, Second Affiliated Hospital of Harbin Medical University, Harbin, China.
| | - JiaWei Tian
- Department of Ultrasound, Second Affiliated Hospital of Harbin Medical University, Harbin, China.
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Porée J, Garcia D, Chayer B, Ohayon J, Cloutier G. Noninvasive Vascular Elastography With Plane Strain Incompressibility Assumption Using Ultrafast Coherent Compound Plane Wave Imaging. IEEE TRANSACTIONS ON MEDICAL IMAGING 2015; 34:2618-2631. [PMID: 26625341 DOI: 10.1109/tmi.2015.2450992] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/05/2023]
Abstract
Plane strain tensor estimation using non-invasive vascular ultrasound elastography (NIVE) can be difficult to achieve using conventional focus beamforming due to limited lateral resolution and frame rate. Recent developments in compound plane wave (CPW) imaging have led to high speed and high resolution imaging. In this study, we present the performance of NIVE using coherent CPW. We show the impact of CPW beamforming on strain estimates compared to conventional focus sequences. To overcome the inherent variability of lateral strains, associated with the low lateral resolution of linear array transducers, we use the plane strain incompressibility to constrain the estimator. Taking advantage of the approximate tenfold increase in frame rate of CPW compared with conventional focus imaging, we introduce a time-ensemble estimation approach to further improve the elastogram quality. By combining CPW imaging with the constrained Lagrangian speckle model estimator, we observe an increase in elastography quality (∼ 10 dB both in signal-to-noise and contrast-to-noise ratios) over a wide range of applied strains (0.02 to 3.2%).
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15
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Keshavarz-Motamed Z, Saijo Y, Majdouline Y, Riou L, Ohayon J, Cloutier G. Coronary artery atherectomy reduces plaque shear strains: An endovascular elastography imaging study. Atherosclerosis 2014; 235:140-9. [DOI: 10.1016/j.atherosclerosis.2014.04.022] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2013] [Revised: 04/16/2014] [Accepted: 04/16/2014] [Indexed: 01/26/2023]
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Majdouline Y, Ohayon J, Keshavarz-Motamed Z, Roy Cardinal MH, Garcia D, Allard L, Lerouge S, Arsenault F, Soulez G, Cloutier G. Endovascular shear strain elastography for the detection and characterization of the severity of atherosclerotic plaques: in vitro validation and in vivo evaluation. ULTRASOUND IN MEDICINE & BIOLOGY 2014; 40:890-903. [PMID: 24495438 DOI: 10.1016/j.ultrasmedbio.2013.12.008] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/05/2013] [Revised: 12/04/2013] [Accepted: 12/06/2013] [Indexed: 06/03/2023]
Abstract
This work explores the potential of shear strain elastograms to identify vulnerable atherosclerotic plaques. The Lagrangian speckle model estimator (LSME) elasticity imaging method was further developed to estimate shear strain elasticity (SSE). Three polyvinyl alcohol cryogel vessel phantoms were imaged with an intravascular ultrasound (IVUS) scanner. The estimated SSE maps were validated against finite-element results. Atherosclerosis was induced in carotid arteries of eight Sinclair mini-pigs using a combination of surgical techniques, diabetes and a high-fat diet. IVUS images were acquired in vivo in 14 plaques before euthanasia and histology. All plaques were characterized by high magnitudes in SSE maps that correlated with American Heart Association atherosclerosis stage classifications (r = 0.97, p < 0.001): the worse the plaque condition the higher was the absolute value of SSE, i.e. |SSE| (e.g., mean |SSE| was 3.70 ± 0.40% in Type V plaques, whereas it was reduced to 0.11 ± 0.01% in normal walls). This study indicates the feasibility of using SSE to highlight atherosclerotic plaque vulnerability characteristics.
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Affiliation(s)
- Younes Majdouline
- Laboratory of Biorheology and Medical Ultrasonics, University of Montreal Hospital Research Center (CRCHUM), Montréal, Québec, Canada
| | - Jacques Ohayon
- Laboratory TIMC-IMAG/DyCTiM, University Joseph-Fourier, CNRS UMR 5525, Grenoble, France; University of Savoie, Polytech Annecy-Chambery, Le Bourget du Lac, France
| | - Zahra Keshavarz-Motamed
- Laboratory of Biorheology and Medical Ultrasonics, University of Montreal Hospital Research Center (CRCHUM), Montréal, Québec, Canada
| | - Marie-Hélène Roy Cardinal
- Laboratory of Biorheology and Medical Ultrasonics, University of Montreal Hospital Research Center (CRCHUM), Montréal, Québec, Canada
| | - Damien Garcia
- Laboratory of Biorheology and Medical Ultrasonics, University of Montreal Hospital Research Center (CRCHUM), Montréal, Québec, Canada; Research Unit of Biomechanics and Imaging in Cardiology, University of Montreal Hospital Research Center (CRCHUM), Montréal, Québec, Canada; Department of Radiology, Radio-Oncology and Nuclear Medicine, and Institute of Biomedical Engineering, University of Montreal, Montréal, Québec, Canada
| | - Louise Allard
- Laboratory of Biorheology and Medical Ultrasonics, University of Montreal Hospital Research Center (CRCHUM), Montréal, Québec, Canada
| | - Sophie Lerouge
- Laboratory of Endovascular Biomaterials, University of Montreal Hospital Research Center (CRCHUM), Montréal, Québec, Canada; Department of Mechanical Engineering, École de technologie supérieure, Montréal, Québec, Canada
| | - Frédéric Arsenault
- Department of Radiology, Radio-Oncology and Nuclear Medicine, and Institute of Biomedical Engineering, University of Montreal, Montréal, Québec, Canada; Department of Radiology, University of Montreal Hospital (CHUM), Montréal, Québec, Canada
| | - Gilles Soulez
- Department of Radiology, Radio-Oncology and Nuclear Medicine, and Institute of Biomedical Engineering, University of Montreal, Montréal, Québec, Canada; Department of Radiology, University of Montreal Hospital (CHUM), Montréal, Québec, Canada
| | - Guy Cloutier
- Laboratory of Biorheology and Medical Ultrasonics, University of Montreal Hospital Research Center (CRCHUM), Montréal, Québec, Canada; Department of Radiology, Radio-Oncology and Nuclear Medicine, and Institute of Biomedical Engineering, University of Montreal, Montréal, Québec, Canada.
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Razani M, Luk TW, Mariampillai A, Siegler P, Kiehl TR, Kolios MC, Yang VX. Optical coherence tomography detection of shear wave propagation in inhomogeneous tissue equivalent phantoms and ex-vivo carotid artery samples. BIOMEDICAL OPTICS EXPRESS 2014; 5:895-906. [PMID: 24688822 PMCID: PMC3959849 DOI: 10.1364/boe.5.000895] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/04/2013] [Revised: 01/16/2014] [Accepted: 02/19/2014] [Indexed: 05/04/2023]
Abstract
In this work, we explored the potential of measuring shear wave propagation using optical coherence elastography (OCE) in an inhomogeneous phantom and carotid artery samples based on a swept-source optical coherence tomography (OCT) system. Shear waves were generated using a piezoelectric transducer transmitting sine-wave bursts of 400 μs duration, applying acoustic radiation force (ARF) to inhomogeneous phantoms and carotid artery samples, synchronized with a swept-source OCT (SS-OCT) imaging system. The phantoms were composed of gelatin and titanium dioxide whereas the carotid artery samples were embedded in gel. Differential OCT phase maps, measured with and without the ARF, detected the microscopic displacement generated by shear wave propagation in these phantoms and samples of different stiffness. We present the technique for calculating tissue mechanical properties by propagating shear waves in inhomogeneous tissue equivalent phantoms and carotid artery samples using the ARF of an ultrasound transducer, and measuring the shear wave speed and its associated properties in the different layers with OCT phase maps. This method lays the foundation for future in-vitro and in-vivo studies of mechanical property measurements of biological tissues such as vascular tissues, where normal and pathological structures may exhibit significant contrast in the shear modulus.
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Affiliation(s)
- Marjan Razani
- Department of Physics, Ryerson University, Toronto, Canada
| | - Timothy W.H. Luk
- Department of Electrical and Computer Engineering, Ryerson University, Toronto, Canada
| | - Adrian Mariampillai
- Department of Electrical and Computer Engineering, Ryerson University, Toronto, Canada
| | - Peter Siegler
- Department of Electrical and Computer Engineering, Ryerson University, Toronto, Canada
| | - Tim-Rasmus Kiehl
- Department of Pathology, University Health Network, Toronto, Ontario Canada
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Ontario, Canada
| | | | - Victor X.D. Yang
- Department of Physics, Ryerson University, Toronto, Canada
- Department of Electrical and Computer Engineering, Ryerson University, Toronto, Canada
- Division of Neurosurgery, University of Toronto, Toronto, Canada
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18
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Mercure E, Destrempes F, Roy Cardinal MH, Porée J, Soulez G, Ohayon J, Cloutier G. A local angle compensation method based on kinematics constraints for non-invasive vascular axial strain computations on human carotid arteries. Comput Med Imaging Graph 2014; 38:123-36. [DOI: 10.1016/j.compmedimag.2013.08.005] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2012] [Revised: 06/28/2013] [Accepted: 08/07/2013] [Indexed: 11/16/2022]
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19
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Bouvier A, Deleaval F, Doyley MM, Yazdani SK, Finet G, Le Floc'h S, Cloutier G, Pettigrew RI, Ohayon J. A direct vulnerable atherosclerotic plaque elasticity reconstruction method based on an original material-finite element formulation: theoretical framework. Phys Med Biol 2013; 58:8457-76. [PMID: 24240392 DOI: 10.1088/0031-9155/58/23/8457] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
The peak cap stress (PCS) amplitude is recognized as a biomechanical predictor of vulnerable plaque (VP) rupture. However, quantifying PCS in vivo remains a challenge since the stress depends on the plaque mechanical properties. In response, an iterative material finite element (FE) elasticity reconstruction method using strain measurements has been implemented for the solution of these inverse problems. Although this approach could resolve the mechanical characterization of VPs, it suffers from major limitations since (i) it is not adapted to characterize VPs exhibiting high material discontinuities between inclusions, and (ii) does not permit real time elasticity reconstruction for clinical use. The present theoretical study was therefore designed to develop a direct material-FE algorithm for elasticity reconstruction problems which accounts for material heterogeneities. We originally modified and adapted the extended FE method (Xfem), used mainly in crack analysis, to model material heterogeneities. This new algorithm was successfully applied to six coronary lesions of patients imaged in vivo with intravascular ultrasound. The results demonstrated that the mean relative absolute errors of the reconstructed Young's moduli obtained for the arterial wall, fibrosis, necrotic core, and calcified regions of the VPs decreased from 95.3 ± 15.56%, 98.85 ± 72.42%, 103.29 ± 111.86% and 95.3 ± 10.49%, respectively, to values smaller than 2.6 × 10(-8) ± 5.7 × 10(-8)% (i.e. close to the exact solutions) when including modified-Xfem method into our direct elasticity reconstruction method.
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Affiliation(s)
- Adeline Bouvier
- Laboratory TIMC-IMAG/DyCTiM, UJF, CNRS UMR 5525, In3S, Grenoble, France
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20
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Biomechanics of atherosclerotic coronary plaque: site, stability and in vivo elasticity modeling. Ann Biomed Eng 2013; 42:269-79. [PMID: 24043605 DOI: 10.1007/s10439-013-0888-1] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2013] [Accepted: 08/05/2013] [Indexed: 10/26/2022]
Abstract
Coronary atheroma develop in local sites that are widely variable among patients and are considerably variable in their vulnerability for rupture. This article summarizes studies conducted by our collaborative laboratories on predictive biomechanical modeling of coronary plaques. It aims to give insights into the role of biomechanics in the development and localization of atherosclerosis, the morphologic features that determine vulnerable plaque stability, and emerging in vivo imaging techniques that may detect and characterize vulnerable plaque. Composite biomechanical and hemodynamic factors that influence the actual site of development of plaques have been studied. Plaque vulnerability, in vivo, is more challenging to assess. Important steps have been made in defining the biomechanical factors that are predictive of plaque rupture and the likelihood of this occurring if characteristic features are known. A critical key in defining plaque vulnerability is the accurate quantification of both the morphology and the mechanical properties of the diseased arteries. Recently, an early IVUS based palpography technique developed to assess local strain, elasticity and mechanical instabilities has been successfully revisited and improved to account for complex plaque geometries. This is based on an initial best estimation of the plaque components' contours, allowing subsequent iteration for elastic modulus assessment as a basis for plaque stability determination. The improved method has also been preliminarily evaluated in patients with successful histologic correlation. Further clinical evaluation and refinement are on the horizon.
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21
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Deleaval F, Bouvier A, Finet G, Cloutier G, Yazdani SK, Le Floc'h S, Clarysse P, Pettigrew RI, Ohayon J. The intravascular ultrasound elasticity-palpography technique revisited: a reliable tool for the in vivo detection of vulnerable coronary atherosclerotic plaques. ULTRASOUND IN MEDICINE & BIOLOGY 2013; 39:1469-81. [PMID: 23727295 PMCID: PMC4728327 DOI: 10.1016/j.ultrasmedbio.2013.03.001] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/03/2012] [Revised: 02/28/2013] [Accepted: 03/02/2013] [Indexed: 05/25/2023]
Abstract
Critical to the detection of vulnerable plaques (VPs) is quantification of their mechanical properties. On the basis of intravascular ultrasound (IVUS) echograms and strain images, E. I. Céspedes, C. L. de Korte CL and A. F. van der Steen (Ultrasound Med Biol 2000;26:385-396) proposed an elasticity-palpography technique (E-PT) to estimate the apparent stress-strain modulus palpogram of the thick endoluminal layer of the arterial wall. However, this approach suffers from major limitations because it was developed for homogeneous, circular and concentric VPs. The present study was therefore designed to improve the E-PT by considering the anatomic shape of the VP. This improved E-PT was successfully applied to six coronary lesions of patients imaged in vivo with IVUS. Our results indicate that the mean relative error of the stress-strain modulus decreased from 61.02 ± 9.01% to 15.12 ± 12.57% when the IE-PT was used instead of the E-PT. The accuracy of the stress-strain modulus palpograms computed using the improved theoretical framework was also investigated with respect to noise, which may affect prediction of plaque vulnerability.
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Affiliation(s)
- Flavien Deleaval
- Laboratory TIMC-IMAG/DyCTiM, UJF, CNRS UMR 5525, In(3)S, Grenoble, France
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22
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Hansen HH, Richards MS, Doyley MM, de Korte CL. Noninvasive vascular displacement estimation for relative elastic modulus reconstruction in transversal imaging planes. SENSORS 2013; 13:3341-57. [PMID: 23478602 PMCID: PMC3658750 DOI: 10.3390/s130303341] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/14/2013] [Revised: 03/07/2013] [Accepted: 03/08/2013] [Indexed: 12/03/2022]
Abstract
Atherosclerotic plaque rupture can initiate stroke or myocardial infarction. Lipid-rich plaques with thin fibrous caps have a higher risk to rupture than fibrotic plaques. Elastic moduli differ for lipid-rich and fibrous tissue and can be reconstructed using tissue displacements estimated from intravascular ultrasound radiofrequency (RF) data acquisitions. This study investigated if modulus reconstruction is possible for noninvasive RF acquisitions of vessels in transverse imaging planes using an iterative 2D cross-correlation based displacement estimation algorithm. Furthermore, since it is known that displacements can be improved by compounding of displacements estimated at various beam steering angles, we compared the performance of the modulus reconstruction with and without compounding. For the comparison, simulated and experimental RF data were generated of various vessel-mimicking phantoms. Reconstruction errors were less than 10%, which seems adequate for distinguishing lipid-rich from fibrous tissue. Compounding outperformed single-angle reconstruction: the interquartile range of the reconstructed moduli for the various homogeneous phantom layers was approximately two times smaller. Additionally, the estimated lateral displacements were a factor of 2–3 better matched to the displacements corresponding to the reconstructed modulus distribution. Thus, noninvasive elastic modulus reconstruction is possible for transverse vessel cross sections using this cross-correlation method and is more accurate with compounding.
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Affiliation(s)
- Hendrik H.G. Hansen
- Medical UltraSound Imaging Center (MUSIC), Department of Radiology, Radboud University Nijmegen Medical Center, P.O. Box 9101, Nijmegen 6500 HB, The Netherlands; E-Mail:
- Author to whom correspondence should be addressed; E-Mail: ; Tel.: +31-2436-14730; Fax: +31-2436-14427
| | - Michael S. Richards
- Department of Electrical and Computer Engineering, Hajim School of Engineering and Applied Sciences, University of Rochester, Hopeman Engineering Building, P.O. Box 270126, Rochester, NY 14627, USA; E-Mails: (M.S.R.); (M.M.D.)
| | - Marvin M. Doyley
- Department of Electrical and Computer Engineering, Hajim School of Engineering and Applied Sciences, University of Rochester, Hopeman Engineering Building, P.O. Box 270126, Rochester, NY 14627, USA; E-Mails: (M.S.R.); (M.M.D.)
| | - Chris L. de Korte
- Medical UltraSound Imaging Center (MUSIC), Department of Radiology, Radboud University Nijmegen Medical Center, P.O. Box 9101, Nijmegen 6500 HB, The Netherlands; E-Mail:
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23
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Cardoso FM, Moraes MC, Furuie SS. Realistic IVUS image generation in different intraluminal pressures. ULTRASOUND IN MEDICINE & BIOLOGY 2012; 38:2104-2119. [PMID: 23062368 DOI: 10.1016/j.ultrasmedbio.2012.08.005] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/12/2012] [Revised: 08/01/2012] [Accepted: 08/10/2012] [Indexed: 06/01/2023]
Abstract
Intravascular ultrasound (IVUS) phantoms are important to calibrate and evaluate many IVUS imaging processing tasks. However, phantom generation is never the primary focus of related works; hence, it cannot be well covered, and is usually based on more than one platform, which may not be accessible to investigators. Therefore, we present a framework for creating representative IVUS phantoms, for different intraluminal pressures, based on the finite element method and Field II. First, a coronary cross-section model is selected. Second, the coronary regions are identified to apply the properties. Third, the corresponding mesh is generated. Fourth, the intraluminal force is applied and the deformation computed. Finally, the speckle noise is incorporated. The framework was tested taking into account IVUS contrast, noise and strains. The outcomes are in line with related studies and expected values. Moreover, the framework toolbox is freely accessible and fully implemented in a single platform.
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Affiliation(s)
- Fernando Mitsuyama Cardoso
- Biomedical Engineering Laboratory, Department of Telecommunication and Control Engineering, School of Engineering, University of Sao Paulo, Sao Paulo, Brazil.
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24
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Le Floc’h S, Cloutier G, Saijo Y, Finet G, Yazdani SK, Deleaval F, Rioufol G, Pettigrew RI, Ohayon J. A four-criterion selection procedure for atherosclerotic plaque elasticity reconstruction based on in vivo coronary intravascular ultrasound radial strain sequences. ULTRASOUND IN MEDICINE & BIOLOGY 2012; 38. [PMID: 23196202 PMCID: PMC4722089 DOI: 10.1016/j.ultrasmedbio.2012.07.021] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/15/2023]
Abstract
Plaque elasticity (i.e., modulogram) and morphology are good predictors of plaque vulnerability. Recently, our group developed an intravascular ultrasound (IVUS) elasticity reconstruction method which was successfully implemented in vitro using vessel phantoms. In vivo IVUS modulography, however, remains a major challenge as the motion of the heart prevents accurate strain field estimation. We therefore designed a technique to extract accurate strain fields and modulograms from recorded IVUS sequences. We identified a set of four criteria based on tissue overlapping, RF-correlation coefficient between two successive frames, performance of the elasticity reconstruction method to recover the measured radial strain, and reproducibility of the computed modulograms over the cardiac cycle. This four-criterion selection procedure (4-CSP) was successfully tested on IVUS sequences obtained in twelve patients referred for a directional coronary atherectomy intervention. This study demonstrates the potential of the IVUS modulography technique based on the proposed 4-CSP to detect vulnerable plaques in vivo.
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Affiliation(s)
- Simon Le Floc’h
- Laboratory TIMC-IMAG/DyCTiM, UJF, CNRS UMR 5525, Grenoble, France
| | - Guy Cloutier
- Laboratory of Biorheology and Medical Ultrasonics, University of Montreal Hospital Research Center (CRCHUM), Montréal, Québec, Canada
- Department of Radiology, Radio-Oncology and Nuclear Medicine, and Institute of Biomedical Engineering, University of Montreal, Montréal, Québec, Canada
| | - Yoshifumi Saijo
- Department of Biomedical Engineering, Tohoku University, Sendai, Japan
| | - Gérard Finet
- Department of Hemodynamics and Interventional Cardiology, Hospices Civiles de Lyon and Claude Bernard University Lyon 1, INSERM Unit 886, Lyon, France
| | | | - Flavien Deleaval
- Laboratory TIMC-IMAG/DyCTiM, UJF, CNRS UMR 5525, Grenoble, France
| | - Gilles Rioufol
- Department of Hemodynamics and Interventional Cardiology, Hospices Civiles de Lyon and Claude Bernard University Lyon 1, INSERM Unit 886, Lyon, France
| | - Roderic I. Pettigrew
- Laboratory of Integrative Cardiovascular Imaging Science, NIDDK, NIH, Bethesda, Maryland, USA
| | - Jacques Ohayon
- Laboratory TIMC-IMAG/DyCTiM, UJF, CNRS UMR 5525, Grenoble, France
- University of Savoie, Polytech Annecy-Chambéry, Le Bourget du Lac, France
- Address for correspondence, Professor Jacques Ohayon, Laboratory TIMC-DynaCell, UJF, CNRS UMR 5525, InS, Grenoble, France., Fax number: (33) 456 52 00 22, Telephone number: (33) 456 52 0124,
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25
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Richards MS, Doyley MM. Investigating the impact of spatial priors on the performance of model-based IVUS elastography. Phys Med Biol 2011; 56:7223-46. [PMID: 22037648 PMCID: PMC3364673 DOI: 10.1088/0031-9155/56/22/014] [Citation(s) in RCA: 38] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
This paper describes methods that provide pre-requisite information for computing circumferential stress in modulus elastograms recovered from vascular tissue-information that could help cardiologists detect life-threatening plaques and predict their propensity to rupture. The modulus recovery process is an ill-posed problem; therefore, additional information is needed to provide useful elastograms. In this work, prior geometrical information was used to impose hard or soft constraints on the reconstruction process. We conducted simulation and phantom studies to evaluate and compare modulus elastograms computed with soft and hard constraints versus those computed without any prior information. The results revealed that (1) the contrast-to-noise ratio of modulus elastograms achieved using the soft prior and hard prior reconstruction methods exceeded those computed without any prior information; (2) the soft prior and hard prior reconstruction methods could tolerate up to 8% measurement noise, and (3) the performance of soft and hard prior modulus elastograms degraded when incomplete spatial priors were employed. This work demonstrates that including spatial priors in the reconstruction process should improve the performance of model-based elastography, and the soft prior approach should enhance the robustness of the reconstruction process to errors in the geometrical information.
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Affiliation(s)
- M S Richards
- Department of Electrical and Computer Engineering, Hajim School of Engineering and Applied Sciences, University of Rochester, Hopeman Engineering Building, Box 270126, Rochester, NY 14627, USA
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Hadj Henni A, Schmitt C, Tremblay MÉ, Hamdine M, Heuzey MC, Carreau P, Cloutier G. Hyper-frequency viscoelastic spectroscopy of biomaterials. J Mech Behav Biomed Mater 2011; 4:1115-22. [PMID: 21783120 DOI: 10.1016/j.jmbbm.2011.03.020] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2011] [Revised: 03/14/2011] [Accepted: 03/15/2011] [Indexed: 01/26/2023]
Abstract
With the emergence of new biomaterials and elastography imaging techniques, there is a need for innovative instruments dedicated to viscoelasticity measurements. In this work, we introduce a novel hyper-frequency viscoelastic spectroscopy (HFVS) technique dedicated to characterize soft media subjected to mid-to-very-high frequency stress ranges (or, equivalently, to probe short-to-very-short relaxation times). HFVS, which has been implemented in an analytical instrument performing non-contact measurements in less than 1 s between 10 and 1000 Hz, is a suitable tool to study viscoelasticity for bio-applications. In this context, HFVS has been compared to classical oscillatory rheometry on several classes of soft materials currently encountered in tissue repair, bioengineering and elastography imaging on a frequency range between 10 and 100 Hz. After having demonstrated the good correspondence between HFVS and rheometry, this study has been completed by exploring the sensitivity of HFVS to physicochemically induced variations of viscoelasticity. HFVS opens promising perspectives in the challenging field of biomaterial science and for viscoelasticity-based quality control of materials.
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Affiliation(s)
- Anis Hadj Henni
- Laboratory of Biorheology and Medical Ultrasonics, University of Montreal Hospital Research Center, Montreal, QC, Canada.
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Tracqui P, Broisat A, Toczek J, Mesnier N, Ohayon J, Riou L. Mapping elasticity moduli of atherosclerotic plaque in situ via atomic force microscopy. J Struct Biol 2011; 174:115-23. [DOI: 10.1016/j.jsb.2011.01.010] [Citation(s) in RCA: 78] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2010] [Revised: 12/20/2010] [Accepted: 01/24/2011] [Indexed: 12/14/2022]
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