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Depth from physics: physics-based image analysis and feature definition

Depth from physics: physics-based image analysis and feature...

引用

International Conference on Pattern Recognition

作者： D. Hattery M. Loew Institute for Medical Imaging and Image Analysis Department of Electrical Engineering and Computer Science George Washington University Washington D.C. DC USA

Blood vessels overlying one another at distinct depths (and hence appearing to intersect) in the conjunctiva of the eye can be distinguished reliably from those that in fact do branch within the same depth, using only the information contained in a single photograph of the conjunctiva. That conclusion arises from extension of earlier work that qualitatively inferred relative depth of vessels. The current research was motivated by the need to quantify such inferences in terms of their sensitivities and robustness. Features extracted from an image are shown to be useful in that effort; their utility is verified with phantoms that mimic the behavior of the conjunctiva and the backing sclera. Because no special preparations are needed, the method works as well on archived images as on newly-acquired ones, and thus can be used in retrospective studies of images of the eye and other diffuse media.

关键词： Physics image analysis Biomembranes Mie scattering Light scattering Particle scattering Read only memory Diseases Lighting Biomedical imaging

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Automated registration of CT and MR brain images using 3-D edge detection

Automated registration of CT and MR brain images using 3-D e...

引用

Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： Li-Yueh Hsu M.H. Loew Institute for Medical Imaging and Image Analysis Department of Electrical Engineering and Computer Science George Washington University Washington D.C. DC USA

Presents work on automatic inter-modality image registration based on the extraction of the most well-known image feature-edges. While many of the current techniques use the corresponding surface feature (skin surface and brain surface in particular) for image registration, an edge feature can include ail of those surfaces as well as certain tissue structures. The edge feature may provide as well the simplicity and possibility for surface and contour information to be further constructed. In contrast to most of the modern surface registration algorithms which rely on either manual or automatic segmentation of the corresponding surface, the authors' 3-D edge registration algorithm requires no further segmentation for the registration of CT and MR brain images. The registration accuracy is evaluated through a fiducial "gold-standard" on 6 pairs of CT and MR (T1, T2, and PD) images. The preliminary results are comparable to those obtained by other registration techniques.

关键词： Computed tomography Brain image edge detection image registration Data mining Skin Biomedical imaging image segmentation Magnetic resonance imaging USA Councils

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A Family Of Order Statistic Based Dissimilarity Measures And Their Application In image Processing

A Family Of Order Statistic Based Dissimilarity Measures And...

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International Conference on Optimization of electrical and Electronic Equipment, OPTIM

作者： C. Vertan V. Buzuloiu R.M. Rangayyan Image Processing and Analysis Laboratory (IPAL) Applied Electronics and Information Engineering DepartmentFaculty of Electronics and Telecommunications Politehnica University Bucharest Romania Department of Electrical and Computer Engineering University of Calgary Calgary AB Canada

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Normal mammogram analysis and recognition

Normal mammogram analysis and recognition

引用

IEEE International Conference on image Processing

作者： Sheng Liu C.F. Babbs E.J. Delp Department of Basic Medical Sciences School of Veterinary Medicine Purdue University West Lafayette IN USA Video and Image Processing Laboratory (VIPER) School of Electrical and Computer Engineering Purdue University West Lafayette IN USA

Presents a novel approach to the problem of computer aided analysis of digital mammograms for breast cancer detection: namely, the development of algorithms to recognize unequivocally normal mammograms. First, the authors eliminate amorphous "clouds" or "blobs" in mammograms produced by normal glandular tissue of varying density using local average subtraction. Then the authors identify and remove normal connective tissue markings based on a set of specially designed line detectors. Any abnormality that may exist in the mammogram is therefore enhanced in the residual image, which makes the decision regarding the normality of the mammogram, much easier.

关键词： Lesions Biomedical imaging Medical diagnostic imaging Breast Cancer Tumors image processing Laboratories Biomedical engineering computer aided analysis

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Training environment for inferior vena caval filter placement

Training environment for inferior vena caval filter placemen...

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6th Conferenc on Medicine Meets Virtual Reality, MMVR 1998

作者： Hahn, James K. Kaufman, Roger Winick, Adam B. Carleton, Thurston Park, Youngser Lindeman, Rob Oh, Kwang-Man Ai-Ghreimil, Nadia Walsh, Raymond J. Loew, Murray Gerber, Joanne Sankar, Siddarth Laboratory for Advanced Computer Applications in Medicine Institute for Computer Graphics George Washington University Washington DC 20052 United States Department of Electrical Engineering and Computer Science George Washington University Washington DC 20052 United States Department of Radiology George Washington University Washington DC 20052 United States Department of Civil and Mechanical Engineering George Washington University Washington DC 20052 United States Department of Anatomy and Cell Biology George Washington University Washington DC 20052 United States Institute for Medical Imaging and Image Analysis George Washington University Washington DC 20052 United States

ISBN: (纸本)9051993862

This paper describes a Virtual Environment system designed to aid in training interventional radiologists in inferior vena cava filter placement. It is being developed as part of a VE simulator for a number of surgical and interventional radiology procedures at the Laboratory for Advanced computer Applications in Medicine at the George Washington University. In this procedure a filter is placed in the inferior vena cava to prevent blood clots from the lower portion of the body from reaching the lungs and causing a pulmonary embolus. The simulation is designed to provide both tutorial and testing modes for the filter placement procedure.

关键词： Virtual reality

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Asymptotic convergence of biorthogonal wavelet filters

Asymptotic convergence of biorthogonal wavelet filters

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Asilomar Conference on Signals, Systems & computers

作者： Dong Wei A.C. Bovik Laboratory for Image and Video Engineering Department of Electrical and Computer Engineering University of Texas Austin Austin TX USA

We study the asymptotic behavior of the dual filters associated with biorthogonal spline wavelets (BSWs) and general biorthogonal Coifman wavelets (GBCWs). As the order of wavelet systems approaches infinity the BSW filters either diverge or converge to some non-ideal filters, the GBCW synthesis filters converge to an ideal halfband lowpass (HBLP) filter without exhibiting any Gibbs-like phenomenon, and a subclass of the analysis filters also converge to an ideal HBLP filter but with a one-sided Gibbs-like behavior. The two approximations of the ideal HBLP filter by Daubechies orthonormal wavelet filters and by the GBCW synthesis filters are also compared.

关键词： Convergence Finite impulse response filter Wavelet analysis Frequency Spline Transfer functions Filter bank Laboratories H infinity control Digital filters

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Generalized coiflets: a new family of orthonormal wavelets

Generalized coiflets: a new family of orthonormal wavelets

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Asilomar Conference on Signals, Systems & computers

作者： Dong Wei A.C. Bovik B.L. Evans Laboratory for Image and Video Engineering Department of Electrical and Computer Engineering University of Texas Austin Austin TX USA

We generalize an existing family of wavelets, coiflets, by replacing the zero-centered vanishing moment condition on scaling functions by a nonzero-centered one in order to obtain a novel class of compactly supported orthonormal wavelets (we call them generalized coiflets). This generalization offers an additional free parameter i.e., the center of mass of the scaling function, which can be tuned to obtain improved characteristics of the resulting wavelet system such as near-symmetry of the scaling functions and wavelets, near-linear phase of the filter banks, and sampling approximation properties. Therefore, these new wavelets are promising in a broad range of applications in signal processing and numerical analysis.

关键词： Finite impulse response filter Discrete wavelet transforms Sampling methods Laboratories Signal sampling Wavelet analysis Signal processing Numerical analysis Filter bank Digital signal processing

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Quantitative estimation of scatterer spacing from backscattered ultrasound signals using the complex cepstrum 15th

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15th International Conference on Information Processing in Medical Imaging, IPMI 1997

作者： Mia, Rashidus S. Loew, Murray H. Wear, Keith A. Wagner, Robert F. Institute for Medical Imaging and Image Analysis Department of Electrical Engineering and Computer Science George Washington University WashingtonDC20052 United States Center for Devices and Radiological Health Food and Drug Administration RockvilleMD20850 United States

ISBN: (纸本)3540630465

This paper presents a new method of estimating the distance between regularly-spaced coherent scatterers within soft tissue from backscattered radio-frequency (RF) signals. Periodic components in the RF signal manifest themselves as peaks in the quefrency (cepstral) domain. Using simulation data, we show that these peaks are easier to detect using the complex cepstrum rather than the commonly used power cepstrum. Similar improvements are seen using phantom and in vivo liver data. © Springer-Verlag Berlin Heidelberg 1997.

关键词： Ultrasonic applications

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Reconstruction of vector fields in bounded domain vector tomography

Reconstruction of vector fields in bounded domain vector tom...

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IEEE International Conference on image Processing

作者： N.F. Osman J.L. Prince Image Analysis and Communications Laboratory Department of Electrical and Computer Engineering Johns Hopkins University Baltimore MD USA

This paper considers the problem of vector tomography on an arbitrary bounded domain in three dimensions. Previous work has given the formulas for the reconstructed scalar and vector potential functions in relation to the vector field values inside the domain and on the boundary of the domain. Using these formulas. It is shown that the curl-free component can be reconstructed using only one probe measurement, and the divergence-free component can be reconstructed using only two probe measurements. No boundary measurements are necessary.

关键词： Tomography Probes image reconstruction Magnetic field measurement Magnetic materials image analysis Laboratories Doppler measurements Magnetic resonance imaging Acoustic measurements

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Morphologically constrained Gibbs random fields

Morphologically constrained Gibbs random fields

引用

IEEE International Conference on image Processing

作者： K. Sivakumar J. Goutsias Dept. of Electr. & Comput. Eng. Johns Hopkins Univ. Baltimore MD USA Image Analysis and Communications Laboratory Department of Electrical and Computer Engineering Johns Hopkins University Baltimore MD USA

We propose a class of Gibbs random fields which incorporate geometric information into stochastic image modeling by means of morphological constraints. This class is shown to be capable of modeling shapes with given m... 详细信息

关键词： Stochastic processes Solid modeling Shape

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