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Orthodontics and Craniofacial Research 2003年第SUPPL1期6卷 108-116页

作者： Farag, A.A. Eid, A. Electrical and computer Engineering Department University of Louisville Computer Vision and Image Processing Laboratory Louisville KY 40292 United States

Objectives: To present two practical techniques for threedimensional (3D) modeling of the human jaw from a sequence of intra-oral images. Design: A data acquisition system consists of: 3D digitizing arm, CCD camera and a laser projector in addition to a software module of two 3D modeling techniques;shape from shading (SFS) and space carving (SC). Setting and sample population - Several experiments have been conducted on a sample of students at the computer vision and image Processing (CVIP) laboratory at the University of Louisville, Louisville, KY. Other experiments were performed on solid models of human jaw. Experimental variable: The SFS technique, using perspective projection and camera calibration, extracts the 3D information from a sequence of two-dimensional images of the jaw. Data fusion of range data and 3D registration techniques develop the complete jaw model. The SC approach is implemented on a sequence of calibrated images. On the two reconstructions, we fit a mesh model to the data, in order to create a solid 3D model. Outcome measure: The accuracy of the reconstructed 3D model of human jaw is calculated based on the measurements on real jaws. Results: The SFS-based technique seems to provide more faithful information about the shape of the tooth tops. However, the SC algorithm successfully reconstructed 3D models of the human jaw with sub-millimeter accuracy, which is as accurate as (or even better than) the first technique without using any range measurements or laser projectors. The average error in distance calculation was found to be 0.74 mm, which is an acceptable resolution for many orthodontics and maxillofacial applications. Conclusion: Accurate 3D reconstruction of the human jaw enables many orthodontics and dental imaging researchfindings to be applied directly to a digital jaw model - not to a cast - using computer vision and medical imaging tools. © 2003 Blackwell Munksgaard.

关键词： Data fusion Jaw modeling Registration Shape from shading Space carving

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Analytical solutions for time-resolved fluorescence lifetime imaging in a turbid medium such as tissue: errata

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Journal of the Optical Society of America A 2003年第9期20卷 1833-1833页

作者： David Hattery Victor Chernomordik Murray Loew Israel Gannot Amir Gandjbakhche Laboratory of Integrative and Medical Biophysics National Institute of Child Health and Human Development National Institutes of Health Building 12A Room 2041 Bethesda Maryland 20892 Department of Electrical and Computer Engineering Institute for Medical Imaging and Image Analysis George Washington University Washington D.C. 20052 Biomedical Engineering Department Faculty of Engineering Tel-Aviv University Tel-Aviv 69978 Israel

No abstract available.

关键词： Fluorescence lifetime imaging Tissue

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A phantom validation of the fastharp pulse sequence

A phantom validation of the fastharp pulse sequence

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IEEE International Symposium on Biomedical Imaging, ISBI 2002

作者： Sampath, Smita Parthasarathy, Vijay Prince, Jerry L. Image Analysis and Communications Laboratory Electrical and Computer Engineering Department Johns Hopkins University BaltimoreMD21218 United States

ISBN: (纸本)078037584X

The FastHARP magnetic resonance imaging pulse sequence, coupled with fast processing, has the potential to measure and display cardiac function in real-time during clinical dobutamine stress tests. In this paper, we present a preliminary validation of the tracking capability of material points using this imaging sequence. Points lying on a mesh embedded in a moving gel phantom are tracked manually using high-resolution images and are simultaneously tracked using HARP tools. The experiment proves that for this particular type of motion actuation, the points tracked in images using the FastHARP sequence followed by fast and automated HARP tracking tools are comparable to results obtained from images acquired in much longer times with very tedious analysis involving manual intervention. © 2002 IEEE.

关键词： Phantoms

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Constrained optimization in pattern classification using ART

Constrained optimization in pattern classification using ART

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International Joint Conference on Neural Networks (IJCNN)

作者： Shuyu Yang S. Mitra Department of Electrical and Computer Engineering Computer Vision & Image Analysis Laboratory Texas Tech University TX USA

Pattern classification problems involve constrained optimization in the form of minimization of chosen cost functions. Such embedded constraints in integrated neural-fuzzy pattern recognition systems improve the performance of these systems. The comparative performance of an ART-based pattern classifier integrated with fuzzy optimization constraints is demonstrated in designing vector quantizers.

关键词： Constraint optimization Pattern classification Subspace constraints Clustering algorithms Vector quantization Algorithm design and analysis Pattern recognition Neural networks Fuzzy logic Testing

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A phantom validation of the FastHARP pulse sequence

A phantom validation of the FastHARP pulse sequence

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IEEE International Symposium on Biomedical Imaging

作者： S. Sampath V. Parthasarathy J.L. Prince Image Analysis and Communications Laboratory Electrical and Computer Engineering Department Johns Hopkins University Baltimore MD USA

关键词： Imaging phantoms Magnetic resonance imaging Pulse measurements Tracking Couplings Stress measurement Displays Testing Magnetic materials High-resolution imaging

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ARMA modeling for estimation of permeability from perfusion MRI

ARMA modeling for estimation of permeability from perfusion ...

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IEEE International Symposium on Biomedical Imaging

作者： M.M. Khalighi H. Soltanian-Zadeh J.R. Ewing Radiology Image Analysis Laboratory Henry Ford Health System Detroit MI USA Electrical and Computer Engineering Department University of Tehran Tehran Iran Neurology Department Henry Ford Health System Detroit MI USA

We develop noninvasive MRI techniques that quantify the permeability of the Blood-Brain Barrier (BBB). Using such gadolinium compounds as Gd-DTPA and gadomer-17, changes in R1 (R1=1/T1) can be measured and used as estimates of tissue concentration versus time, thus permitting estimates of BBB permeability parameters. Estimating BBB permeability parameters requires deconvolution in a linear system, a task that has been accomplished heretofore by nonlinear least-squares procedures, although these techniques tend to instability in the presence of noise. We introduce a method using Z-transform and Autoregressive Moving Average (ARMA) modeling to perform this deconvolution. This method has the advantage that it linearizes the optimization procedure by which parametric estimates are formed, and it stabilizes the deconvolution. in the presence of noise.

关键词： Magnetic resonance imaging Autoregressive processes Deconvolution Iron Equations Proposals image analysis Nervous system Permeability measurement Time measurement

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Rate distortion in image coding from embedded optimization constraints in vector quantization

Rate distortion in image coding from embedded optimization c...

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International Joint Conference on Neural Networks (IJCNN)

作者： Shuyu Yang S. Mitra Computer Vision & Image Analysis Laboratory Department of Electrical and Computer Engineering Texas Tech University Lubbock TX USA

ISBN: (纸本)0780370449

We compared the performance of two recently developed vector quantization algorithms using different optimization criteria for clustering, namely, the adaptive fuzzy leader clustering, a neuro-fuzzy algorithm, and the deterministic annealing, another unsupervised clustering algorithm based on probabilistic and statistical physics frameworks, with the rate distortion criterion as a performance measure. Such a comparison is useful for evaluating the efficiency of clustering algorithms for the purpose of image vector quantization instead of the conventional misclassification evaluation. This method is extended from the analysis of image coding in a spatial domain to sample vectors in the wavelet domain with predictable distribution. These sample vectors possess a multidimensional generalized Gaussian distribution through the new multi-scale feature extraction method. Our preliminary results show much improvement on the reconstructed image quality over JPEG.

关键词： Rate-distortion image coding Clustering algorithms Vector quantization Annealing Physics Distortion measurement image analysis Wavelet analysis Wavelet domain

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Multimodality image registration and fusion using neural network

Multimodality image registration and fusion using neural net...

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3rd International Conference on Information Fusion, FUSION 2000

作者： Mostafa, Mostafa G. Farag, Aly A. Essock, Edward Computer Vision and Image Processing Laboratory Department of Electrical and Computer Engineering University of Louisville Louisville KY 40292 United States Department of Psychology University of Louisville Louisville KY 40292 United States

ISBN: (纸本)2725700000

Multi-modality image registration and fusion are essential steps in building 3D models from remote sensing data. In this paper, we present a neural network technique for the registration and fusion of multi-modality remote sensing data for the reconstruction of 3D models of terrain regions. A feedforward neural network is used to fuse the intensity data sets with the spatial data set after learning its geometry. Results on real data are presented. Human performance evaluation is assessed on several perceptual tests in order to evaluate the fusion results. © 2000 Int. Soc. Inf. Fusion.

关键词： image fusion

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An adaptive deterministic annealing approach for medical image segmentation

An adaptive deterministic annealing approach for medical ima...

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Conference of the North American Fuzzy Information Processing Society - NAFIPS

作者： S. Mitra R. Castellanos S. Joshi Computer Vision and Image Analysis Laboratory Department of Electrical and Computer Engineering Texas Tech University Lubbock TX USA

We present a stochastic model based technique that uses the concept of deterministic annealing to obtain a generalized solution to the nonconvex optimization problem encountered by many image segmentation techniques. Deterministic annealing [DA] is an elegant and useful tool for clustering and classification. This novel optimization approach works with the efficiency of a deterministic procedure and has been successfully applied to a number of combinatorial optimization problems. We demonstrate effective segmentation of simulated MR brain images and provide a quality measure for accuracy of classification. A generalized deterministic annealing procedure, which works tender a structural constraint of mass or density, has been utilized for this purpose. This method produces a hierarchy of solutions giving segmentation results from a coarse to a fine level. Automatic edge detection can be performed using these solutions that are at different degrees of coarseness. The procedure has been made more efficient by utilizing a new similarity parameter from the concepts of neuro-fuzzy clustering.

关键词： Annealing Biomedical imaging image segmentation Brain modeling Clustering algorithms image edge detection Lagrangian functions computer vision Laboratories Stochastic processes

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Multimodality image registration and fusion using neural network

Multimodality image registration and fusion using neural net...

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International Conference on Information Fusion

作者： M.G. Mostafa A.A. Farag E. Essock Department of Electrical and Computer Engineering Computer Vision and Image Processing Laboratory University of Louisville Louisville KY USA Department of Psychology University of Louisville Louisville KY USA

关键词： image registration Neural networks Hyperspectral sensors Remote sensing image reconstruction Geometry Remote monitoring Intelligent sensors Satellites Laser radar

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