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  • Open Access


    Image-Based Modeling for Atherosclerotic Coronary Plaque Progression and Vulnerability Research

    Rui Lv1, Liang Wang1, Dalin Tang1,*,2

    Molecular & Cellular Biomechanics, Vol.16, Suppl.2, pp. 27-28, 2019, DOI:10.32604/mcb.2019.06829

    Abstract Medical imaging and image-based computational modeling have been used by many researchers in recent years to quantify atherosclerotic plaque morphological and biomechanical characteristics and predict the coronary plaque growth and rupture processes. However, it has been hard to validate model predictions due to imaging resolution limitation, lack of clinical events and plaque rupture data. This article reviews recent advances in coronary plaque research over the past decade, including medical imaging techniques represented by intravascular ultrasound (IVUS) and optical coherence tomography (OCT), computational modeling and their applications in plaque progression and vulnerability analyses and predictions. The clinical application and future development… More >

  • Open Access


    Predicting Plaque Progression Using Patient-Specific Fluid-Structure-Interaction Models Based on IVUS and OCT Images with Follow-Up

    Xiaoya Guo1, Dalin Tang1,2,*, David Molony3, Chun Yang2, Habib Samady3, Jie Zheng4, Gary S. Mintz5, Akiko Maehara5, Jian Zhu6, Genshan Ma6, Mitsuaki Matsumura5, Don P. Giddens3,7

    Molecular & Cellular Biomechanics, Vol.16, Suppl.1, pp. 75-76, 2019, DOI:10.32604/mcb.2019.05743

    Abstract Atherosclerotic plaque progression is generally considered to be closely associated with morphological and mechanical factors. Plaque morphological information on intravascular ultrasound (IVUS) and optical coherence tomography (OCT) images could complement each other and provide for more accurate plaque morphology. Fluid-structure interaction (FSI) models combining IVUS and OCT were constructed to obtain accurate plaque stress/strain and flow shear stress data for analysis. Accuracy and completeness of imaging and advanced modeling lead to accurate plaque progression predictions.
    In vivo IVUS and OCT coronary plaque data at baseline and follow-up were acquired from left circumflex coronary and right coronary artery of one… More >

  • Open Access


    Characterization of Coronary Atherosclerotic Plaque Composition Based on Convolutional Neural Network (CNN)

    Yifan Yin1, Chunliu He1, Biao Xu2, Zhiyong Li1,*

    Molecular & Cellular Biomechanics, Vol.16, Suppl.1, pp. 57-57, 2019, DOI:10.32604/mcb.2019.05732

    Abstract The tissue composition and morphological structure of atherosclerotic plaques determine its stability or vulnerability. Intravascular optical coherence tomography (IVOCT) has rapidly become the method of choice for assessing the pathology of the coronary arterial wall in vivo due to its superior resolution. However, in clinical practice, the analysis of plaque composition of OCT images mainly relies on the interpretation of images by well-trained experts, which is a time-consuming, labor-intensive procedure and it is also subjective. The purpose of this study is to use the Convolutional neural network (CNN) method to automatically extract the best feature information from the OCT images… More >

  • Open Access


    Atherosclerotic Plaque Rupture Prediction: Imaging-Based Computational Simulation and Multiphysical Modelling

    Zhiyong Li1,2,*

    Molecular & Cellular Biomechanics, Vol.16, Suppl.1, pp. 29-30, 2019, DOI:10.32604/mcb.2019.06308

    Abstract In this article, we summarize our previous work in imaging-based computational modelling and simulation of the interaction between blood flow and atherosclerotic plaque. We also discussed our recent developments in multiphysical modelling of plaque progression and destabilization. Significance and translation of the modelling study to clinical practice are discussed in order to better assess plaque vulnerability and accurately predict a possible rupture. More >

  • Open Access


    Multi-Modality Image-Based Modeling Approach for Cardiovascular Disease: Simulation, Assessment, Prediction, and Virtual Surgery

    Dalin Tang1,2,*

    Molecular & Cellular Biomechanics, Vol.16, Suppl.1, pp. 11-11, 2019, DOI:10.32604/mcb.2019.05170

    Abstract Medical imaging and image-based modeling have made considerable progress in recent years in cardiovascular research, such as identifying atherosclerotic plaque morphological and mechanical risk factors which may be used in developing improved patient screening strategies, and performing virtual heart surgery seeking optimal surgical procedures for best post-surgical outcome. We will report recent progress in using multi-modality image-based models to predict vulnerable plaque progression and vulnerability change. In particular, we will report our recent results using IVUS+OCT data to obtain more accurate stress/strain calculations. Inflammation and cap erosion will affect cap material properties. If OCT image could provide inflammation and erosion… More >

  • Open Access


    Shear Stress-mediated Angiogenesis Through Id1 Relevant to Atherosclerosis

    Yidan Chen#,1, Kang Zhang#,1, Juhui Qiu1, Shicheng He1, Junyang Huang2, Lu Huang1, Dongyu Jia3, Bo Ling1, Da Sun4, Xiang Xie1, Tieying Yin*,1, Guixue Wang*,1

    Molecular & Cellular Biomechanics, Vol.14, No.2, pp. 83-100, 2017, DOI:10.3970/mcb.2017.014.081

    Abstract Abnormal shear stress in the blood vessel is an important stimulating factor for the formation of angiogenesis and vulnerable plaques. This paper intended to explore the role of shear stress-regulated Id1 in angiogenesis. First, we applied a carotid artery ring ligation to create local stenosis in ApoE-/- mice. Then, 3D geometry of the vessel network was reconstructed based on MRI, and our analysis of computational fluid dynamics revealed that wall shear stress of the proximal region was much higher than that of the distal region. In addition, results from histological staining of the proximal region found more vulnerable-probe plaques with… More >

  • Open Access


    Patient-Specific Artery Shrinkage and 3D Zero-Stress State in Multi-Component 3D FSI Models for Carotid Atherosclerotic Plaques Based on In Vivo MRI Data

    Xueying Huang*, Chun Yang, Chun Yuan, Fei Liu, Gador Canton, Jie Zheng§, Pamela K. Woodard§, Gregorio A. Sicard, Dalin Tang||

    Molecular & Cellular Biomechanics, Vol.6, No.2, pp. 121-134, 2009, DOI:10.3970/mcb.2009.006.121

    Abstract Image-based computational models for atherosclerotic plaques have been developed to perform mechanical analysis to quantify critical flow and stress/strain conditions related to plaque rupture which often leads directly to heart attack or stroke. An important modeling issue is how to determine zero stress state from in vivo plaque geometries. This paper presents a method to quantify human carotid artery axial and inner circumferential shrinkages by using patient-specific ex vivo and in vivo MRI images. A shrink-stretch process based on patient-specific in vivo plaque morphology and shrinkage data was introduced to shrink the in vivo geometry first to find the zero-stress… More >

  • Open Access


    Micro-CT Based Analysis of a New Paradigm for Vulnerable Plaque Rupture: Cellular Microcalcifications in Fibrous Caps

    Yuliya Vengrenyuk*, Luis Cardoso*, Sheldon Weinbaum∗,†

    Molecular & Cellular Biomechanics, Vol.5, No.1, pp. 37-48, 2008, DOI:10.3970/mcb.2008.005.037

    Abstract In this paper, we further investigate the new paradigm for the rupture of thin cap fibroatheroma (TCFA) proposed in Vengrenyuk et al. (2006 PNAS 103:14678) using a multilevel micro-CT based 3D numerical modeling. The new paradigm proposes that the rupture of TCFA is due to stress-induced interfacial debonding of cellular - level, 10 -- 20 μm microcalcifications in the fibrous cap proper. Such microcalcifications, which lie below the visibility of current in vivo imaging techniques, were detected for the first time using confocal microscopy and high resolution microcomputed tomography (micro-CT) imaging in Vengrenyuk et al. (2006) In the present study,… More >

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