Search results for " Reconstruction"

showing 10 items of 694 documents

Iterative continuous maximum-likelihood reconstruction method

1992

Mathematical optimizationMaximum likelihood reconstructionIterative methodGeneral MathematicsMaximum likelihoodGeneral EngineeringApplied mathematicsMaximizationIterative reconstructionIntegral equationMathematicsLocal convergenceMathematical Methods in the Applied Sciences
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Accurate registration of random radiographic projections based on three spherical references for the purpose of few-view 3D reconstruction

2008

Precise registration of radiographic projection images acquired in almost arbitrary geometries for the purpose of three-dimensional (3D) reconstruction is beset with difficulties. We modify and enhance a registration method [R. Schulze, D. D. Bruellmann, F. Roeder, and B. d'Hoedt, Med. Phys. 31, 2849-2854 (2004)] based on coupling a minimum amount of three reference spheres in arbitrary positions to a rigid object under study for precise a posteriori pose estimation. Two consecutive optimization procedures (a, initial guess; b, iterative coordinate refinement) are applied to completely exploit the reference's shadow information for precise registration of the projections. The modification h…

Mathematical optimizationProjection (mathematics)Iterative method3D reconstructionImage registrationA priori and a posterioriImage processingGeneral MedicineIterative reconstructionAlgorithmPoseMathematicsMedical Physics
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Simulated one-pass list-mode: an approach to on-the-fly system matrix calculation.

2013

In the development of prototype systems for positron emission tomography a valid and robust image reconstruction algorithm is required. However, prototypes often employ novel detector and system geometries which may change rapidly under optimization. In addition, developing systems generally produce highly granular, or possibly continuous detection domains which require some level of on-the-fly calculation for retention of measurement precision. In this investigation a new method of on-the-fly system matrix calculation is proposed that provides advantages in application to such list-mode systems in terms of flexibility in system modeling. The new method is easily adaptable to complicated sy…

Mathematical optimizationRadiological and Ultrasound Technology010308 nuclear & particles physicsRandom number generationDetectorProcess (computing)Iterative reconstructionMaximizationSystems modelingModels Theoretical01 natural sciences030218 nuclear medicine & medical imaging03 medical and health sciencesNoise0302 clinical medicinePositron-Emission Tomography0103 physical sciencesImage Processing Computer-AssistedRadiology Nuclear Medicine and imagingAlgorithmImage resolutionMathematicsPhysics in medicine and biology
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An experimental study of the stability problem in discrete tomography

2003

This paper introduces the topic of discrete tomography, briefly showing its main applications, algorithms and new prospects of research. It focuses on the still open problem of stability, facing it from an experimental point of view. In particular an extensive simulation lets verify the robustness of a well known reconstruction technique for binary convex objects, calculating the probability of finding solutions compatible with a given set of noisy projections. © 2005 Elsevier Ltd. All rights reserved.

Mathematical optimizationSettore INF/01 - InformaticaOpen problemApplied MathematicsRegular polygonBinary numberConvex reconstructionDiscrete tomographyStability problemRobustness (computer science)Discrete Mathematics and CombinatoricsDiscrete tomographyDiscrete Mathematics and CombinatoricMathematics
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A Memetic Algorithm for Binary Image Reconstruction

2008

This paper deals with a memetic algorithm for the reconstruction of binary images, by using their projections along four directions. The algorithm generates by network flows a set of initial images according to two of the input projections and lets them evolve toward a solution that can be optimal or close to the optimum. Switch and compactness operators improve the quality of the reconstructed images which belong to a given generation, while the selection of the best image addresses the evolution to an optimal output.

Mathematical optimizationSettore INF/01 - InformaticaQuadratic assignment problemBinary imageComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONMemetic algorithmtomografy reconstructionFlow networkImage (mathematics)Set (abstract data type)Compact spaceMemetic algorithmAlgorithmSelection (genetic algorithm)Mathematics
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Optimal Paths on Urban Networks Using Travelling Times Prevision

2012

We deal with an algorithm that, once origin and destination are fixed, individuates the route that permits to reach the destination in the shortest time, respecting an assigned maximal travel time, and with risks measure below a given threshold. A fluid dynamic model for road networks, according to initial car densities on roads and traffic coefficients at junctions, forecasts the future traffic evolution, giving dynamical weights to a constrained 𝐾 shortest path algorithm. Simulations are performed on a case study to test the efficiency of the proposed procedure.

Mathematical optimizationTraffic congestion reconstruction with Kerner's three-phase theoryArticle SubjectComputer scienceFluid dynamic model; K shortest path algorithm; Travelling times previsionGeneral EngineeringTraffic simulationK shortest path algorithmMeasure (mathematics)lcsh:QA75.5-76.95Computer Science ApplicationsTraffic congestionFluid dynamic modelModeling and SimulationShortest path problemComputer Science::Networking and Internet Architecturelcsh:Electronic computers. Computer scienceTravelling times previsionDijkstra's algorithmConstrained Shortest Path FirstSimulationTraffic waveModelling and Simulation in Engineering
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Subsignal-based denoising from piecewise linear or constant signal

2011

15 pages; International audience; n the present work, a novel signal denoising technique for piecewise constant or linear signals is presented termed as "signal split." The proposed method separates the sharp edges or transitions from the noise elements by splitting the signal into different parts. Unlike many noise removal techniques, the method works only in the nonorthogonal domain. The new method utilizes Stein unbiased risk estimate (SURE) to split the signal, Lipschitz exponents to identify noise elements, and a polynomial fitting approach for the sub signal reconstruction. At the final stage, merging of all parts yield in the fully denoised signal at a very low computational cost. St…

Mathematical optimization[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image ProcessingComputer scienceStochastic resonanceNoise reduction[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing02 engineering and technology01 natural sciencesMultiplicative noisePiecewise linear function010104 statistics & probabilitySpeckle patternsymbols.namesakeSignal-to-noise ratioWavelet[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing0202 electrical engineering electronic engineering information engineering0101 mathematicsSignal transfer functionShrinkageSignal reconstructionNoise (signal processing)General EngineeringNonlinear opticsWavelet transform020206 networking & telecommunicationsTotal variation denoisingAtomic and Molecular Physics and OpticsAdditive white Gaussian noiseGaussian noisePiecewisesymbolsStep detectionAlgorithm[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
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Signal Restoration via a Splitting Approach

2012

International audience; In the present study, a novel signal restoration method from noisy data samples is presented and is termed as "signal split (SSplit)" approach. The new method utilizes Stein unbiased risk estimate estimator to split the signal, the Lipschitz exponents to identify noise elements and a heuristic approach for the signal reconstruction. However, unlike many noise removal techniques, the present method works only in the non-orthogonal domain. Signal restoration was performed on each individual part by finding the best compromise between the data samples and the smoothing criteria. Statistical results are quite promising and suggest better performance than the conventional…

Mathematical optimization[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processingsplit or segmentationthresholding02 engineering and technology[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingSignalmodulus maxima[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing0202 electrical engineering electronic engineering information engineeringLipschitz exponentMathematicscontinuous wavelet transformSignal reconstructionHeuristicNoise (signal processing)Estimator020206 networking & telecommunicationsLipschitz continuityStein unbiased risk estimatewavelet transform modulus maxima020201 artificial intelligence & image processingAlgorithm[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingSmoothingEnergy (signal processing)
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High resolution in currents reconstruction applying the extrapolation matrix and spectrum replies

2007

A faster method for the reconstruction of currents has been proposed. For this a new algorithm has been used which extrapolates a 2D signal in less time than the iterative method of Papoulis. Results exposed in this paper show the likeness of the reconstructed currents with the new algorithm with those of the iterative method and the improvement that might be obtained in these new currents with regard to the iterative one. Furthermore, results show the higher speed of the new matrix method.

Matrix (mathematics)Mathematical optimizationSignal reconstructionIterative methodSpectrum (functional analysis)ExtrapolationHigh resolutionAlgorithmSignalMathematicsMatrix method2007 IEEE Antennas and Propagation Society International Symposium
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Upper Palaeolithic hunter-gatherer subsistence in Mediterranean coastal environments: an isotopic study of the diets of earliest directlyt-dated huma…

2011

Abstract The subsistence of hunter-gatherers in the Mediterranean Basin has been the object of few studies, which have not fully clarified the role of aquatic resources in their diets. Here we present the results of AMS radiocarbon dating and of isotope analyses on the earliest directly-dated human remains from Sicily, the largest island in the Mediterranean Sea. The radiocarbon determinations show that the Upper Palaeolithic (Epigravettian) humans from Grotta di San Teodoro (15 232–14 126 cal. BP) and Grotta Addaura Caprara (16 060–15 007 cal. BP) date to the Late-glacial and were possibly contemporary. The diets of these individuals were dominated by the protein of large terrestrial mamma…

Mediterranean climate010506 paleontologyArcheologyUpper palaeolithicPleistoceneUpper palaeolithic; Sicily; diet reconstruction; isotopes; anthropologyBiodiversitySettore BIO/08 - Antropologiadiet reconstruction01 natural sciencesMediterranean Basinlaw.inventionMediterranean sealawanthropology0601 history and archaeology14. Life underwaterRadiocarbon datingisotopeSicilyHunter-gatherer0105 earth and related environmental sciences060102 archaeologyEcologyLast Glacial Maximum06 humanities and the artsArchaeologyGeology
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