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  • Open Access

    ABSTRACT

    Comparisons of Patient-specific Active and Passive Models for Left Ventricle in Hypertrophic Obstructive Cardiomyopathy

    Xueying Huang1,*, Long Deng2, Chun Yang3, Mary Lesperance4, Dalin Tang5

    Molecular & Cellular Biomechanics, Vol.16, Suppl.2, pp. 58-58, 2019, DOI:10.32604/mcb.2019.06969

    Abstract Hypertrophic cardiomyopathy (HCM) occurs in about 1 of every 500 adults in the general population. It has been reported that left ventricular outflow tract obstruction (LVOTO) is observed in 70% patients with HCM. Systolic anterior motion (SAM) of the mitral valve (MV) is the dominant cause of dynamic outflow tract obstruction in most patients with hypertrophic obstructive cardiomyopathy (HOCM). Currently, the hemodynamic mechanisms of SAM remain unclear. In this study, we developed 12 active and corresponding passive models based on 6 patients’ pre- and post-operative ECG-gated cardiac CT images of patients’ LV at the pre-SAM… More >

  • Open Access

    ABSTRACT

    Computational Biomechanical Right Ventricle Modeling with Contracting Bands to Improve Ventricle Cardiac Function for Patient with Repaired Tetralogy of Fallot

    Han Yu1, Tal Geva2, Rahul H. Rathod2, Alexander Tang2, Chun Yang3, Zheyang Wu3, Kristen L. Billiar4, Xueying Huang5, Dalin Tang1,*,3

    Molecular & Cellular Biomechanics, Vol.16, Suppl.2, pp. 56-57, 2019, DOI:10.32604/mcb.2019.07257

    Abstract Computational biomechanical models are widely used in cardiovascular research for better understanding of mechanisms governing disease development, quantitative diagnostic strategies and improved surgical designs with better outcome. Patients with repaired tetralogy of Fallot (TOF) account for the majority of cases with late onset right ventricle (RV) failure. The current surgical approach, which includes pulmonary valve replacement/insertion (PVR), has yielded mixed results. An innovative PVR surgical approach was proposed using active contracting bands to help ventricle to contract and improve RV function measured by ejection fraction [1]. Muscle active contraction caused by sarcomere shortening leads to… More >

  • Open Access

    ABSTRACT

    Effect of Protein-Induced Membrane Curvature on the Receptor-Ligand Binding Constant

    Long Li1, Jinglei Hu2, Fan Song1,*

    Molecular & Cellular Biomechanics, Vol.16, Suppl.2, pp. 54-55, 2019, DOI:10.32604/mcb.2019.07718

    Abstract Cell adhesion is a fundamental biological process involved in many crucial cellular activities such as tissue formation, immune response, and cell locomotion [1, 2]. The adhesion process is mediated by the specific binding of membrane-anchored receptor and ligand proteins, which is quantified by the two-dimensional binding equilibrium constant [3-5]. These adhesion proteins are associated with cell membranes either via transmembrane domains or via GPI anchors, and may very likely generate membrane curvature, which has been shown for a number of membrane proteins to play an important role in organelle shaping, vesicle trafficking, cell fusion and… More >

  • Open Access

    ABSTRACT

    On the Identification of Heterogeneous Nonlinear Material Properties of the Aortic Wall from Clinical Gated CT Scans

    Minliang Liu1, Liang Liang2, Xiaoying Lou3, Glen Iannucci3, Edward Chen3, Bradley Leshnower3, Wei Sun1,*

    Molecular & Cellular Biomechanics, Vol.16, Suppl.2, pp. 53-53, 2019, DOI:10.32604/mcb.2019.07387

    Abstract It is well known that mechanical properties of the aortic wall exhibit patient-specific variations. Recent experimental findings also suggest the aortic wall properties are highly region-specific [1-2]. Thus, in vivo heterogeneous (non-uniform) nonlinear mechanical properties of the aortic wall of individual patients needs to be noninvasively identified for accurate prediction of clinical events (e.g. aortic rupture).
    In this study, we developed an inverse approach for identification of patient-specific non-uniform material properties of the aortic wall from gated 3D CT scans. This inverse approach leverages the fact that the in vivo transmural mean stress (tension) of… More >

  • Open Access

    ABSTRACT

    Machine Learning Prediction of Tissue Strength and Local Rupture Risk in Ascending Thoracic Aortic Aneurysms

    Xuehuan He1, Stephane Avril2, Jia Lu1,*

    Molecular & Cellular Biomechanics, Vol.16, Suppl.2, pp. 50-52, 2019, DOI:10.32604/mcb.2019.07390

    Abstract A Multi-layer Perceptron (MLP) neural network model [1] is developed to predict the strength of ascending thoracic aortic aneurysm (ATAA) tissues using tension-strain data and assess local rupture risk. The data were collected through in vitro inflation tests on ATAA samples from 12 patients who underwent surgical intervention [2]. An inverse stress analysis was performed to compute the wall tension at Gauss points. Some of these Gauss points are at or near sites where the samples eventually ruptured, while others are at locations where the tissue remained intact. A total of 27,648 tension- strain curves,… More >

  • Open Access

    ABSTRACT

    Inverse Estimation of 3-D Traction Stress Field of Adhered Cell based on Optimal Control Technique using Image Intensities

    Satoshi Ii1,*, Keisuke Ito1, Naoya Takakusaki1, Naoya Sakamoto1

    Molecular & Cellular Biomechanics, Vol.16, Suppl.2, pp. 49-49, 2019, DOI:10.32604/mcb.2019.07378

    Abstract Cells adhere to a substrate and generate traction forces in focal adhesions that enable them to apprehend extracellular mechanical properties [1]. Current concerns are focused on mechanisms how the mechanical balances hold in the cell and affect the cell behavior, and therefore non-invasive measurement techniques for the cell traction forces are required. The cell traction force microscopy (TFM) generalized by Dembo and Wang [2] is an attractive approach to non-invasively estimate cell traction force fields, in which an inverse problem is solved using a mechanical model of the substrate and displacement fields from fluorescent images… More >

  • Open Access

    ABSTRACT

    Mechanics Based Tomography Using Camera Images

    Sevan Goenezen1,*, Ping Luo1, Baik Jin Kim1, Maulik Kotecha1, Yue Mei2,3

    Molecular & Cellular Biomechanics, Vol.16, Suppl.2, pp. 46-48, 2019, DOI:10.32604/mcb.2019.07348

    Abstract It is well known that the mechanical properties of tissues may vary spatially due to changing tissue types or due to inherent tissue disease. For example, the biomechanical properties are known to vary throughout blood vessels [1]. Diseases such as cancers may also lead to locally altered mechanical properties, thus allow a preliminary diagnosis via finger palpation. Quantifying the mechanical property distribution of tissues for a given constitutive equation will allow to characterize the biomechanical response of tissues. This may help to 1) predict disease progression, 2) diagnose diseases that alter the biomechanics of the… More >

  • Open Access

    ABSTRACT

    Recovery of 3D Tractions Exerted by Cells on Fibrous Extracellular Matrices

    Dawei Song1,*, Nicholas Hugenberg2, Assad A Oberai1

    Molecular & Cellular Biomechanics, Vol.16, Suppl.2, pp. 45-45, 2019, DOI:10.32604/mcb.2019.07138

    Abstract Tractions exerted by cells on the extracellular matrix (ECM) are critical in many important physiological and pathological processes such as embryonic morphogenesis, cell migration, wound healing, and cancer metastasis. Traction Force Microscopy (TFM) is a robust tool to quantify cellular tractions during cell-matrix interactions. It works by measuring the motion of fiducial markers inside the ECM in response to cellular tractions and using this information to infer the traction field. Most applications of this technique have heretofore assumed that the ECM is homogeneous and isotropic [1], although the native ECM is typically composed of fibrous… More >

  • Open Access

    ABSTRACT

    Comparison of the Virtual Fields Method and the Optimization Method to Characterize Regional Variations in Material Properties of Soft Tissues

    Yue Mei1,2,3, Stephane Avril3,*

    Molecular & Cellular Biomechanics, Vol.16, Suppl.2, pp. 44-44, 2019, DOI:10.32604/mcb.2019.07034

    Abstract Characterizing regional variations of material properties in soft tissues is essential for biomedical engineering and clinical medicine, including but not limited to cancerous disease detection and patient-specific surgical planning of cardiovascular diseases. Identification of nonhomogeneous material property distribution usually requires solving inverse problems in nonlinear elasticity. Generally, inverse algorithms can be categorized into two groups: iterative inversion and direct inversion. In direct inversion, the material property distribution of soft tissues is estimated directly from the equilibrium equations, while the inverse problem is posed as an optimization problem in iterative inversion. In this presentation, we compare… More >

  • Open Access

    ABSTRACT

    Path Selection of a Spherical Capsule in a Branched Channel

    Zhen Wang1, Yi Sui1, Wen Wang1, Dominique Barthѐs-Biesel2, Anne-Virginie Salsac2,*

    Molecular & Cellular Biomechanics, Vol.16, Suppl.2, pp. 42-43, 2019, DOI:10.32604/mcb.2019.07148

    Abstract Capsules are liquid droplets enclosed by a thin membrane which can resist shear deformation. They are widely found in nature (e.g. red blood cells) and in numerous applications (e.g. food, cosmetic, biomedical and pharmaceutical industries [1]), where they often flow through a complicated network of tubes or channels: this is the case for RBCs in the human circulation or for artificial capsules flowing through microfluidic devices. Central to these flows is the dynamic motion of capsules at bifurcations, in particular the question of path selection. A good understanding of this problem is indeed needed to… More >

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