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检索条件"主题词=Algorithm Development"

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C-arm cone beam CT perfusion imaging using the SMART-RECON algorithm to improve temporal sampling density and temporal resolution

C-arm cone beam CT perfusion imaging using the SMART-RECON a...

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Conference on Medical Imaging - Physics of Medical Imaging

作者： Li, Yinsheng Niu, Kai Li, Ke Schafer, Sebastian Royalty, Kevin Strother, Charles Chen, Guang-Hong Univ Wisconsin Sch Med & Publ Hlth Dept Med Phys Madison WI 53705 USA Siemens Med Solut Hoffman Estates IL 60192 USA Univ Wisconsin Dept Radiol Sch Med & Publ Hlth Madison WI 53792 USA

ISBN: (纸本)9781510600188

In this work, a newly developed reconstruction algorithm, Synchronized MultiArtifact Reduction with Tomographic RECONstruction (SMART-RECON), was applied to C-arm cone beam CT perfusion (CBCTP) imaging. This algorithm contains a special rank regularizer, designed to reduce limited-view artifacts associated with super short scan reconstructions. As a result, high temporal sampling and temporal resolution image reconstructions were achieved using an interventional C-arm x-ray system. The algorithm was evaluated in terms of the fidelity of the dynamic contrast update curves and the accuracy of perfusion parameters through numerical simulation studies. Results shows that, not only were the dynamic curves accurately recovered (relative root mean square error epsilon [3%, 5%] compared with [13%, 22%] for FBP), but also the noise in the final perfusion maps was dramatically reduced. Compared with filtered backprojection, SMART-RECON generated CBCTP maps with much improved capability in differentiating lesions with perfusion deficits from the surrounding healthy brain tissues.

关键词： Reconstruction algorithms Imaging systems Temporal resolution Tissues X-ray computed tomography Blood Computed tomography algorithm development Brain Brain mapping Computer simulations Denoising Image restoration In vivo imaging Tomography

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Sensitivity analysis of different sensing strategies for electrical impedance imaging of two-phase flows

Sensitivity analysis of different sensing strategies for ele...

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Conference on Process Imaging for Automatic Control

作者： Figueroa, TP Seleghim, P Univ Sao Paulo Escola Engn Sao Carlos Dept Engn Mecan Nucleo Engn Term & Fluidos BR-13566590 Sao Carlos SP Brazil

ISBN: (纸本)0819438537

Due to practical considerations, electrical fields and other soft field sensing techniques are convenient to use in process tomography applications. However, most of the reconstruction algorithms were first developed for hard sensing fields that approximate soft fields only in the situation of low electrical contrast. A less restrictive reconstruction method can be developed by refining the qualitative images of a direct imaging probe, but the boundary measurements must be sensitive to changes in the distribution of the electrical properties of the flow. This paper addresses the issue and presents a sensitivity analysis of different excitation strategies and their applicability in a reconstruction algorithm such as described above. Results confirm that classical excitation strategies suffer from a major lack of sensitivity and that new ones must be developed, possibly based on the optimization of the excitation profiles or on multisensing techniques. (C) 2001 SPIE and IS&T.

关键词： Electrodes Tomography Numerical simulations Analytical research Image processing Reconstruction algorithms algorithm development Diagnostics Electromagnetic radiation Surface plasmons

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EVALUATION OF A CHARGE INJECTION DEVICE ARRAY 4

EVALUATION OF A CHARGE INJECTION DEVICE ARRAY

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Conference on Charge-Coupled Devices and Solid State Optical Sensors IV

作者： NINKOV, Z TANG, C EASTON, RL ROCHESTER INST TECHNOL CTR IMAGING SCIOPT SCI GRPROCHESTERNY 14623

ISBN: (纸本)0819414670

A Charge Injection Device Technologies 512 X 512 CID array has been tested at liquid nitrogen temperature to assess its suitability for use in low light applications. The CID-38 chip used was installed in a SICam dewar/electronics from CIDTEC. For this particular system the noise floor was measured to be approximately equals 260 electrons rms for a single readout. Using the nondestructive readout option an approximately equals (root)N, where N is the number of readouts, improvement in this noise figure can be achieved. The average dark current at 77 degree(s)K was not measurable in a three-hour dark integration.

关键词： Camera shutters Electrons Interference (communication) Tin Image processing Nondestructive evaluation algorithm development Chlorine Liquids Signal to noise ratio

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The probability of misassociation between neighboring targets

The probability of misassociation between neighboring target...

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20th Conference on Signal and Data Processing of Small Targets

作者： Areta, Javier A. Bar-Shalom, Yaakov Rothrock, Ronald Univ Connecticut Storrs CT 06269 USA Sparta Syst Inc Arlington VA 22209 USA

ISBN: (纸本)9780819471604

This paper presents procedures to calculate the probability that the measurement originating from an extraneous target will be (mis)associated with a target of interest for the cases of Nearest Neighbor and Global association. It is shown that these misassociation probabilities depend., under certain assumptions, on a particular - covariance weighted - norm of the difference between the targets' predicted measurements. For the Nearest Neighbor association, the exact solution, obtained for the case of equal innovation covariances, is based on a noncentral chi-square distribution. An approximate solution is also presented for the case of unequal innovation covariances. For the Global case an approximation is presented for the case of "similar" innovation covariances. In the general case of unequal innovation covariances where this approximation fails, an exact method based on the inversion of the characteristic function is presented. The theoretical results, confirmed by Monte Carlo simulations, quantify the benefit of Global vs. Nearest Neighbor association. These results are applied to problems of single sensor as well as centralized fusion architecture multiple sensor tracking.

关键词： Monte Carlo methods Sensors Matrices Target detection Detection and tracking algorithms Radar Signal to noise ratio algorithm development Distance measurement Sensor fusion

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NEW CONCEPTS IN MATHEMATICAL MORPHOLOGY - THE TOPOGRAPHICAL AND DIFFERENTIAL DISTANCE FUNCTIONS

NEW CONCEPTS IN MATHEMATICAL MORPHOLOGY - THE TOPOGRAPHICAL ...

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CONF ON IMAGE ALGEBRA AND MORPHOLOGICAL IMAGE PROCESSING 2

作者： PRETEUX, F MERLET, N Telecom Paris (France)

ISBN: (纸本)0819406961

If the concept of Euclidean and geodesic distance is of great importance in binary mathematical morphology (MM), the grey-level MM deals mainly with neighborhood configuration analysis. This paper presents a novel approach to grey-level MM based on the concept of the distance function relative to topographical surfaces. By introducing the notions of connection cost and deviation cost, we define the topographical and differential distances and develop a powerful theoretical framework for establishing the equivalence between the two fundamental notions of skeleton by influence zones and watershed: the SKIZ of the set of the minima of a grey-level image f with respect to the differential distance function is exactly the watershed of f. This leads to a duality between binary and grey-level images as well as new fast algorithms for computing the SKIZ and the watershed.

关键词： Binary data Image processing Information operations algorithm development Image segmentation Mathematical morphology Image analysis Silicon Detection and tracking algorithms Tin

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BACKGROUND AND TARGET RANDOMIZATION AND ROOT MEAN-SQUARE (RMS) BACKGROUND MATCHING USING A NEW DELTA-T METRIC DEFINITION 3

BACKGROUND AND TARGET RANDOMIZATION AND ROOT MEAN-SQUARE (RM...

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CONF ON CHARACTERIZATION, PROPAGATION, AND SIMULATION OF SOURCES AND BACKGROUNDS 3

作者： CHOE, HC MEITZLER, T GERHART, G Battelle Memorial Institute (United States) U.S. Army Tank-Automotive Research Development and Engineering Ctr. (United States)

ISBN: (纸本)0819412031

EO/IR/Laser detection of a target amidst clutter/background is a difficult problem often treated with simplistic models. Unlike noise, clutter is more complex, neither spectrally white nor statistically Gaussian. Therefore, it is insufficient to lump clutter with noise and use standard detection curves. Battelle has produced image randomization software called BATRAN (Background and Target Randomization) which computes various types of statistical distributions to randomize background and target pixels separately. The types of statistics implemented include exponential, Gaussian, log-normal, and Rice distributions for both the background and target. In an effort to identify a more robust and accurate (Delta) T metric definition for background and target matching, Battelle also developed a new (Delta) T metric definition and its equation using RMS pixel-based higher order statistics for the background and target signature pixel data in a scene image. This new (Delta) T metric provides a better estimate of true signature difference between the background/clutter and target, enabling more accurate matching of the background/clutter and target for use in sensor detection performance assessment.

关键词： Target detection algorithm development Computer simulations Sensors Detection and tracking algorithms Silicon Electro optical modeling Electroluminescence Imaging systems Information operations

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developmentS IN INSITU ELLIPSOMETER MONITORING OF THIN-FILM GROWTH DURING REACTIVE ION PLATING DEPOSITION

DEVELOPMENTS IN INSITU ELLIPSOMETER MONITORING OF THIN-FILM ...

引用

CONF ON OPTICAL THIN FILMS AND APPLICATIONS

作者： SAVRDA, S HIMEL, MD GUENTHER, KH URBAN, FK CREOL/Univ. of Central Florida (United States) Univ. of Miami (United States)

ISBN: (纸本)0819403172

In situ ellipsometry is of interest for monitoring and control of growing films. Its extreme sensitivity to thin layers also allows the measurement of the interface film frequently formed between a growing film and the substrate. The installation and operation of an in situ system on two different vacuum coating machines is described. The system records 'F and measurements every 5 seconds during film growth. We present an algorithm for computing the thickness (d) and index (n'.ik) of a growing and an interface film on a known substrate from five Y and measurements at different times during film growth. Numerical solutions of the ellipsometer equations for d, n, and k performed using a 25 MHz 80386 microprocessor with an 80387 math co-processor require about 30 minutes. Additional solutions beyond the first five data sets require only two additional measurements. By taking data in repeated time intervals during the growth of a film, we obtain a depth profile of its optical properties.

关键词： Optical properties Interfaces Thin films Polarizers algorithm development Ions Numerical analysis Plating Reflection Time metrology

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Evolutionary optimization algorithms for nonimaging optical design 16

Evolutionary optimization algorithms for nonimaging optical ...

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Conference on Nonimaging Optics - Efficient Design for Illumination and Solar Concentration XVI

作者： Garcia-Botella, Angel Vazquez-Molini, Daniel Garcia-Fernandez, Berta Alvarez Fernandez-Balbuena, Antonio Univ Politecn Madrid ETSI Montes Dept Ingn & Gest Forestal & Ambiental Ciudad Univ S-N Madrid 28040 Spain Univ Complutense Madrid Fac Opt & Optometria Dept Opt Arcos Jalon 118 Madrid 28037 Spain

ISBN: (数字)9781510629349

ISBN: (纸本)9781510629349

Evolutionary optimization algorithms have been recently introduced as nonimaging optics design techniques. Unlike optimization of imaging systems, non sequential ray tracing simulations and complex non centred systems design must be considered, adding complexity to the problem. The Merit Function (MF) is a key element in the automatic optimization algorithm, nevertheless the selection of each objective's weight, {w(i)}, inside merit function needs a previous trial and error process for each optimization. The problem then is to determine appropriate weights value for each objective. In this paper we propose a new Dynamic Merit Function, DMF, with variable weight factors {w(i)(n)}. The proposed algorithm, automatically adapts weight factors, during the evolution of the optimization process. This dynamic merit function avoids the previous trial and error procedure selecting the right merit function and provides better results than conventional merit functions (CMF). Also we analyse the Multistart optimization algorithm applied in the flowline nonimaging design technique.

关键词： Electronic filtering Optimization (mathematics) Light emitting diodes Collimators Optical design Evolutionary optimization algorithm development Evolutionary algorithms Sensors Nonimaging optics

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AMBA/D - A NEW PROGRAMMING ENVIRONMENT FOR IMAGE-PROCESSING

AMBA/D - A NEW PROGRAMMING ENVIRONMENT FOR IMAGE-PROCESSING

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CONF ON IMAGE PROCESSING AND INTERCHANGE : IMPLEMENTATION AND SYSTEMS

作者： ROTH, K HUFNAGL, P WOLF, G Humboldt-Univ. (Germany)

ISBN: (纸本)0819408131

Recent practice in image processing is dominated by heuristic methods used to design practical, relevant algorithms. To ensure high efficiency in the design process, the communication between user and computer should be as direct as possible. An interactive software system for image processing is required to fulfill this demand. Interpreter-based systems with high interactivity available on the software market have the drawback of low operation speed. In AMBA/D we combine the performance of a compiler/based system, with the interactivity of an interpreter system. The AMBA/D system is an interactive programming environment with integrated facilities to create, compile, execute, and debug programs. In AMBA/D, a compiler language, direct execution, and programming concept is combined with a collection of high-level image processing procedures. The design of a special compiler language was necessary because existing computer languages like FORTRAN, C, etc., do not fulfill our requirement of interactivity. The system runs of an IBM-compatible personal computer and can be used with different types of commercially available frame grabbers.

关键词： Image processing Computer programming Liver Computer programming languages Frame grabbers Telecommunications algorithm development Image segmentation Biological research Computing systems

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Convolutional Neural Networks for Synthetic Aperture Radar Classification 23

Convolutional Neural Networks for Synthetic Aperture Radar C...

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Conference on algorithms for Synthetic Aperture Radar Imagery XXIII

作者： Profeta, Andrew Rodriguez, Andres Clouse, H. Scott Wright State Univ Dayton OH 45435 USA Intel Corp Hillsboro OR 97124 USA Air Force Res Lab Wright Patterson AFB OH 45433 USA

ISBN: (纸本)9781510600843

For electro-optical object recognition, convolutional neural networks (CNNs) are the state-of-the-art. For large datasets, CNNs are able to learn meaningful features used for classification. However, their application to synthetic aperture radar (SAR) has been limited. In this work we experimented with various CNN architectures on the MSTAR SAR dataset. As the input to the CNN we used the magnitude and phase (2 channels) of the SAR imagery. We used the deep learning toolboxes CAFFE and Torch7. Our results show that we can achieve 93% accuracy on the MSTAR dataset using CNNs.

关键词： Synthetic aperture radar Radar Neural networks Convolutional neural networks algorithm development Machine learning Automatic target recognition Network architectures Detection and tracking algorithms Speckle

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