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Automatic Detection and Characterization of Funnel Chest Based on Spiral CT

Automatic Detection and Characterization of Funnel Chest Bas...

The 3rd International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2009)(第三届生物信息与生物医学工程国际会议)

作者： Laszlo Papp Reka Juhasz Sonja Travar Erich Sorantin Alexander Kolli Department of Radiology and Nuclear Medicine UK-SH Campus KielGermany Mediso Medical Imaging System Department of Image Processing and Computer Graphics University of SzegedHungary Clinical Center Vojvodina University of Novi SadSerbia Research Unit for Digital Information and Image Processing University Clinic for RadiologyMedical U

A method was proposed in order to process and classify CT slices representing funnel chest deformities. A manually chosen CT slice was processed to detect the inner curvature of the chest for characterization. Normalized data from the detected inner curvature was gained and saved next to a manually-given deformity type for further classifications. Based on the multiple correlations of the values gained from the inner curvature, a hierarchical classification was performed on 199 patient data. Results have shown that the calculated values gained from the inner curvature can accurately characterize the deformity type of the chest. Since minimal user interaction was necessary to detect and characterize the inner curvature, our method is considered to be an effective automated procedure for funnel chest deformity classifications.

关键词： Spirals Computed tomography Biomedical imaging image processing Picture archiving and communication systems image segmentation Radiology Medical control systems Heart Shape

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A New Cellular Automata Model Considering Finite Deceleration and Braking Distance

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Chinese Physics Letters 2007年第10期24卷 2910-2913页

作者：杨梦龙刘怡光游志胜 Institute of Image and Graphics School of Computer Science and Engineering Sichuan University Chengdu 610064 Center for Nonlinear and Complex Systems School of Electronic Engineering University of Electronic Engineering University of Electronic Science and Technology Chengdu 610054

We present a new cellular automata model for one-lane traffic flow. In this model, we consider the driver prejudgment according to the state of the leading car. We also consider that the vehicle deceleration capability is finite and the braking distance of the high-speed running cars cannot be ignored, which is not considered in most models. Furthermore, comfortable driving is considered, too. Using computer simulations we obtain some basic qualitative results and the fundamental diagram of the proposed model. In comparison with the known models, we find that the fundamental diagram of the proposed model is more realistic than that of the known models.

关键词： TRAFFIC FLOW SYSTEMS CARS

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Advances in Discrete Tomography and Its Applications 1

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丛书名： Applied and Numerical Harmonic Analysis

2007年

作者： Gabor T. Herman Attila Kuba

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基于元胞自动机的单道交通模型研究

基于元胞自动机的单道交通模型研究

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第七届全国交通运输领域青年学术会议

作者： Yang Menglong 杨梦龙 Liu Yiguang 刘怡光 Institute of Image and Graphics School of Computer Science and Engineeting Sichuan UniversityChen 四川大学计算机学院图形图象研究所成都 610064 Center for Nonlinear and Complex Systems School of Electronic Engineering University of Electronic 电子科技大学电子工程学院非线性复杂系统中心成都 610054

对基于元胞自动机的单道交通模型进行研究改进，细化了元胞长度和时间步长，对静止车辆的加速能力进行了约束，用简单的方法解决了NS模型中车辆的速度演化规则与前车速度无关的缺点。同时，考虑了随机慢化概率对交通密度的反应，利用计... 详细信息

对基于元胞自动机的单道交通模型进行研究改进，细化了元胞长度和时间步长，对静止车辆的加速能力进行了约束，用简单的方法解决了NS模型中车辆的速度演化规则与前车速度无关的缺点。同时，考虑了随机慢化概率对交通密度的反应，利用计算机仿真，得到了一些与其他元胞自动机模型共有的性质。另外，与其他模型相比较，新模型得到的基本图更加接近实测数据。

关键词：单道交通模型交通流元胞自动机系统仿真

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On Estimation Of 3D Hand Position Using Stereo Vision 19

On Estimation Of 3D Hand Position Using Stereo Vision

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19th International Conference on computers and Their Applications, CATA 2004

作者： Teruel, M.B. Kubushyna, O. El-Khater, R. Yfantis, E.A. Boyle, R. Computer Graphics and Image Processing Laboratory School of Computer Science University of Nevada Las Vegas Las VegasNV89154-4019 United States NASA Ames Research Center Moffett FieldCA94035-1000 United States

ISBN: (纸本)9781618395511

In this paper an approach for reconstructing the position of an object from a pair of stereo images that allows for a fast and effective hand tracking and 3D gesture reconstruction is presented. The algorithm will serve as a building block for more advanced tasks such as the reconstructing a complete 3D hand model from multiple views using feature extraction based on color and shape. Copyright © (2004) by the International Society for computers and Their Applications. All rights reserved.

关键词： Stereo image processing

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Building and registering parameterized 3D models of vessel trees for visualization during intervention

Building and registering parameterized 3D models of vessel t...

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International Conference on Pattern Recognition

作者： G. Langs P. Radeva D. Rotger F. Carreras Insitute for Computer Graphics and Vision Graz University of Technology Graz Austria Pattern Recognition and Image Processing Group Vienna University of Technology Vienna Austria Computer Vision Center Universitat Autònoma de Barcelona Bellaterra Spain Hospital St. Pau Barcelona Spain

In this paper, we address the problem of multimodal registration of coronary vessels by developing a 3D parametrical model of vessel trees from computer tomography data and registering it to angiography images during intervention. Thus, the interventionist takes profit from 3D data otherwise only available before the intervention. This facilitates orientation in ambiguous radiographs, interactive visualization of all vessel structures to estimate their mutual position and navigation within the vessel system and ultimately reduces the radiation the patient and the physicians are exposed to. The model is build by exploring the branching vessel tree starting from a single position and successively expanding through the vessels guided by a local deformable surface. The result is a tree of cylindrical segments each adapted to the vessel walls that is registered to angiography images in a fast and robust way. Validation on 8 patients confirms the robustness of our method.

关键词： X-ray imaging Computed tomography Robustness Angiography image segmentation image reconstruction Distortion measurement Tree graphs Data visualization Radio navigation

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Discrete tomography in medical imaging

Discrete tomography in medical imaging

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作者： Herman, Gabor T. Kuba, Attila Department of Computer Science Graduate Center City University of New York New York NY 10016 United States Department of Image Processing and Computer Graphics University of Szeged Szeged Hungary

Discrete tomography (DT) deals with the reconstruction of a function from its projections, when the function has a known discrete range. The knowledge of the discrete range, possibly together with some prior information, can significantly reduce the number of projections required for a high-quality reconstruction. The reconstruction methods used in DT applications are usually based on some formulation as an optimization problem. This paper presents methods and results of DT based on problems of angiography, emission tomography, and electron microscopy (EM). © 2003 IEEE.

关键词： computerized tomography

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A Study of Transfer Function Generation for Time-Varying Volume Data 2

A Study of Transfer Function Generation for Time-Varying Vol...

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2nd IEEE TCVG / Eurographics International Workshop on Volume graphics, VG 2001

作者： Jankun-Kelly, T.J. Ma, Kwan-Liu Visualization And Graphics Research Group Center For Image Processing And Integrated Computing University Of California Department Of Computer Science DavisCA95616 United States

ISBN: (纸本)321183737X

The proper usage and creation of transfer functions for time-varying data sets is an often ignored problem in volume visualization. Although methods and guidelines exist for time-invariant data, little formal study for the timevarying case has been performed. This paper examines this problem, and reports the study that we have conducted to determine how the dynamic behavior of time-varying data may be captured by a single or small set of transfer functions. The criteria which dictate when more than one transfer function is needed were also investigated. Four data sets with different temporal characteristics were used for our study. Results obtained using two different classes of methods are discussed, along with lessons learned. These methods, including a new multiresolution opacity map approach, can be used for semi-automatic generation of transfer functions to explore large-scale time-varying data sets. © VG 2001. All rights reserved.

关键词： Transfer functions

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Evaluation of diffusion techniques for improved vessel visualization and quantification in three-dimensional rotational angiography 4th

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4th International Conference on Medical image Computing and computer-Assisted Intervention, MICCAI 2001

作者： Meijering, Erik Niessen, Wiro Weickert, Joachim Viergever, Max Image Sciences Institute University Medical Center Utrecht Heidelberglaan 100 UtrechtNL-3584 CX Netherlands Computer Vision Graphics and Pattern Recognition Group Department of Mathematics and Computer Science University of Mannheim MannheimD-68131 Germany

ISBN: (纸本)3540426973

Three-dimensional rotational angiography (3DRA) is a promising imaging technique which yields high-resolution isotropic 3D images of vascular structures. Raw 3DRA images, however, usually suffer from a high noise level and the presence of other artifacts. For accurate visualization and quantification of vascular anomalies, noise reduction is therefore highly desirable. In this paper we analyze the effects of several linear and nonlinear filtering techniques for that purpose. From the results of in vitro experiments we conclude that edge-enhancing anisotropic diffusion is very suitable for mentioned tasks. However, in view of the computational requirements of this technique, the regularized isotropic nonlinear diffusion scheme may be considered a useful alternative. © Springer-Verlag Berlin Heidelberg 2001.

关键词： Diffusion

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Reconstructing surfaces using anisotropic basis functions

Reconstructing surfaces using anisotropic basis functions

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International Conference on computer Vision (ICCV)

作者： Huong Quynh Dinh G. Turk G. Slabaugh Graphics Visualization and Usability CenterCollege of Computing Georgia Institute of Technology USA School of Electrical and Computer Engineering Center for Signal and Image Processing Georgia Institute of Technology USA

ISBN: (纸本)0769511430

Point sets obtained from computer vision techniques are often noisy and non-uniform. We present a new method of surface reconstruction that can handle such data sets using anisotropic basis functions. Our reconstruction algorithm draws upon the work in variational implicit surfaces for constructing smooth and seamless 3D surfaces. Implicit functions are often formulated as a sum of weighted basis functions that are radially symmetric. Using radially symmetric basis functions inherently assumes, however that the surface to be reconstructed is, everywhere, locally symmetric. Such an assumption is true only at planar regions, and hence, reconstruction using isotropic basis is insufficient to recover objects that exhibit sharp features. We preserve sharp features using anisotropic basis that allow the surface to vary locally. The reconstructed surface is sharper along edges and at corner points. We determine the direction of anisotropy at a point by performing principal component analysis of the data points in a small neighborhood. The resulting field of principle directions across the surface is smoothed through tensor filtering. We have applied the anisotropic basis functions to reconstruct surfaces from noisy synthetic 3D data and from real range data obtained from space carving.

关键词： Surface reconstruction Anisotropic magnetoresistance image reconstruction Surface fitting Optical noise Shape Polynomials computer vision Surface emitting lasers Space technology

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