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Soft tissue deformation is an important part of virtual surgery simulation systems. Real-time and realistic simulation of soft tissue deformation in humans is crucial for virtual surgery simulation systems. Soft tissue deformation simulation mainly applies a linear and viscoelastic biomechanical model, however, this model loses numerous properties of soft tissue. As a consequence, a realistic representation...
In this paper we present a method of human body reshaping which is based on 2D images. We first reshape a 3D human body from a 2D image by changing the 3D morphable circles in the 3D human body model, and then project the 3D model onto the original 2D plane. There are three main steps in our method. First, we can acquire the human body contour and the limbs information through the marks which were...
Cardiovascular diseases belong to the most widespread illnesses in the developed countries. Therefore, the regenerative medicine and tissue modeling applications are highly interested in studying the ability of endothelial cells, derived from human stem cells, to form vascular networks. Several characteristics can be measured on images of these networks and hence describe the quality of the endothelial...
Biomedical image segmentation is an active field of research where deformable models have proved to be efficient. The geometric representation of such models determines their ability to approximate the shape of interest as well as the speed of convergence of related optimization algorithms. We present a new tensor-product parameterization of surfaces that offers the possibility of local refinement...
Visual attention plays an important role in human visual system, helping people to attend to things even before recognition. By its functionality, it can be treated as three kinds: SBA (spatial-based attention), OBA (object-based attention), and FBA (feature-based attention). Early works that model the mechanism of visual saliency mainly concern only one aspect of saliency. Recently, it has been shown...
There have been many research publications on the topic of optical network survivability where the networks is modeled as a graph with a given topology composed of nodes and links. Such modeling does not enable the consideration and optimization of the shape of cables. One glaring example is the 2006 Hengchun earthquake that occurred on December 26 near the south coast of Taiwan and caused catastrophic...
This paper focus to analyze several fusion rule at matching score level to combine important features extracted from gait sequence images for human identification system. Gait sequence image is a non-stationary data and can be modelled using a statistical learning technique. The propose technique consists of three different stages. The pre-processing stage computes the average silhouette images to...
The compliant mechanisms are highly coupled and extremely nonlinear systems, where the dynamic model is generally used for the control of the system. This paper focuses on dynamic modeling of curve-type fully compliant mechanism, by taking the J-type bionic foot as an example. Based on the pseudo-rigid-body model and the Dynamic Nominal Mechanism (DNM) method, the dynamics model of the equivalent...
This paper presents a novel online capable method for simultaneous estimation of human motion in terms of segment orientations and positions along with sensor-to-segment calibration parameters from inertial sensors attached to the body. In order to solve this ill-posed estimation problem, state-of-the-art motion, measurement and biomechanical models are combined with new stochastic equations and priors...
Cell migration plays an important role in many biological processes including development, morphogenesis and pathological conditions like cancer invasion. Cell shows drastic changes in cell morphology and cell size during directed-migration as well as random migration. While understanding the mechanism through which a cell controls its shape/size can play a significant role in improving our understanding...
Photovoltaic plants are becoming an ever more popular source of energy. While individual photovoltaic panels are quite resilient, failures do happen. As part of decision support it is important to estimate whether it makes economic sense to fix / replace failed panels, or whether they are better left alone. In order to help with such analysis, this work estimates the impact of a single panel short...
This paper addresses principles of the attenuation of transient pore pressure, changes of effective stresses, and stress paths along the depth of saturated isotropic seabed subjected to four typical kinds of waves including linear waves, stokes waves, random waves and standing waves. Dynamic behaviors of saturated seabed soils with emphasis on the mechanisms of wave-soil interaction are investigated...
In this paper, we introduce the concept of Developmental Partial Differential Equation (DPDE), which consists of a Partial Differential Equation (PDE) on a time-varying manifold with complete coupling between the PDE and the manifold's evolution. In other words, the manifold's evolution depends on the solution to the PDE, and vice versa the differential operator of the PDE depends on the manifold's...
This research paper describes the design and prototyping of a simulation tool that provides a platform for studying how behavior of proteins in the cell membrane influences macro-level, emergent behaviors of cells. Whereas most current simulation tools model cells as homogeneous objects, this new tool is designed to modularly represent the cell's complex morphology and the varying distribution of...
Good estimations of volume and surface area are important to biological systems measurement. In this paper we develop a 3D reconstruction from evenly sampled axial views in order to enable the volume and surface area measurement. We develop this system for high throughput applications with the zebrafish model system. The VAST BioImager is specifically developed for this purpose and with this system...
In this study, the frequency distributions of a commercial domestic microwave oven with and without load were measured. Computer simulation model was developed to study the influence of varying frequencies on heating pattern of frozen food while heated in a domestic microwave oven. A commercial software tool QuickWave was used to build up the simulation model using the finite-difference time-domain...
Quantum inspired Evolutionary Algorithms (QEA) are a type of population based meta-heuristics, which have been successful in solving difficult search and optimization problems. It provides better balance between exploration and exploitation, when compared with conventional evolutionary algorithms as it is designed by integrating principles from quantum mechanics into the framework of evolutionary...
This paper addresses an investigation regarding the suitability of two different techniques, Active Basis Model (ABM) and Gabor based Convolutional Neural Network (CNN or G-ConvNets) in the mechanism for recognition of biological movement (mammalian visual system model). This method inspired by ventral streams which provide the form information. Both of these approaches contain information of the...
This paper presents a new method based both on Active Shape Model (ASM) and spatial distance model to segment brain structures. It combines two types of a priori knowledge: the structure shapes and the distances between them. This knowledge consists of shape and distance variability which are estimated during a training step. Then, the obtained models are used to guide simultaneously the evolution...
The present paper is concerned with study of the effects of different characteristics of the corneoscleral shell of the human eye on intraocular pressure (IOP) changes after intravitreal injections. Sensitivity analysis was performed to quantify the relative importance of material and geometrical parameters of the eyeball on the IOP elevation.
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