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  • Open Access

    ABSTRACT

    Image-Based Computational Modeling for Cardiovascular Diseases with Potential Clinical Applications

    Dalin Tang1, Chun Yang2, Pedro N. del Nido3, Tal Geva3, Chun Yuan4, Tom Hatsukami5, Fei Liu4, Jie Zheng6, Pamela K. Woodard6

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.1, No.1, pp. 1-6, 2007, DOI:10.3970/icces.2007.001.001

    Abstract Image-based computational models for blood flow in the heart and diseased arteries have been developed for disease assessment and potential clinical applications. Models with fluid-structure interactions for human right ventricle (RV) remodeling surgery design, carotid and coronary atherosclerotic plaques and abdominal aortic aneurysm (AAA) were presented. Organ morphology, material properties, governing equations, proper initial and boundary conditions, controlling factors and research focuses for each model were discussed. More >

  • Open Access

    ARTICLE

    A Comparative Study of Non-separable Wavelet and Tensor-product Wavelet in Image Compression

    Jun Zhang1

    CMES-Computer Modeling in Engineering & Sciences, Vol.22, No.2, pp. 91-96, 2007, DOI:10.3970/cmes.2007.022.091

    Abstract The most commonly used wavelets for image processing are the tensor-product of univariate wavelets, which have a disadvantage of giving a particular importance to the horizontal and vertical directions. In this paper, a new class of wavelet, non-separable wavelet, is investigated for image compression applications. The comparative results of image compression preprocessed with two different kinds of wavelet transform are presented: (1) non-separable wavelet transform; (2) tensor-product wavelet transform. The results of our experiments show that in the same vanishing moment, the non-separable wavelets perform better than the tensor-product wavelets in dealing with still images. More >

  • Open Access

    EDITORIAL

    Seeing is believing: Image guided therapy in Urology

    Laurence H. Klotz

    Canadian Journal of Urology, Vol.12, No.6, pp. 2870-2870, 2005

    Abstract This article has no abstract. More >

  • Open Access

    ARTICLE

    Shear Force at the Cell-Matrix Interface: Enhanced Analysis for Microfabricated Post Array Detectors

    Christopher A. Lemmon1,2, Nathan J. Sniadecki3, Sami Alom Ruiz1,3, John L. Tan, Lewis H. Romer2,4,5, Christopher S. Chen3,4

    Molecular & Cellular Biomechanics, Vol.2, No.1, pp. 1-16, 2005, DOI:10.3970/mcb.2005.002.001

    Abstract The interplay of mechanical forces between the extracellular environment and the cytoskeleton drives development, repair, and senescence in many tissues. Quantitative definition of these forces is a vital step in understanding cellular mechanosensing. Microfabricated post array detectors (mPADs) provide direct measurements of cell-generated forces during cell adhesion to extracellular matrix. A new approach to mPAD post labeling, volumetric imaging, and an analysis of post bending mechanics determined that cells apply shear forces and not point moments at the matrix interface. In addition, these forces could be accurately resolved from post deflections by using images of More >

  • Open Access

    ARTICLE

    PMMC cluster analysis

    S. Yotte1, J. Riss, D. Breysse, S. Ghosh

    CMES-Computer Modeling in Engineering & Sciences, Vol.5, No.2, pp. 171-188, 2004, DOI:10.3970/cmes.2004.005.171

    Abstract Particle distribution influences the particulate reinforced metal matrix composites (PMMC). The knowledge of particle distribution is essential for material design. The study of particle distribution relies on analysis of material images. In this paper three methods are used on an image of an Al/SiC composite. The first method consists in applying successive dilations to the image. At each step the number of objects and the total object area are determined. The decrease of the number of objects as a function of the area is an indicator of characteristic distances. The second method is based on… More >

  • Open Access

    ARTICLE

    Bone and Joints Modelling with Individualized Geometric and Mechanical Properties Derived from Medical Images

    M.C. Ho Ba Tho1

    CMES-Computer Modeling in Engineering & Sciences, Vol.4, No.3&4, pp. 489-496, 2003, DOI:10.3970/cmes.2003.004.489

    Abstract The objective of the paper is to address the methodology developed to model bone and joints with individualised geometric and material properties from medical image data. An atlas of mechanical properties of human bone has been investigated demonstrating individual differences. From these data, predictive relationships have been established between mechanical properties and quantitative data derived from measurements on medical images. Subsequently, geometric and numerical models of bones with individualised geometrical and mechanical properties have been developed from the same source of image data. The advantages of this modelling technique are its ability to study the More >

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