Search results for "RECONSTRUCTION"

showing 10 items of 784 documents

Transillumination imaging through biological tissue by single-pixel detection

2015

One challenge that has long held the attention of scientists is that of clearly seeing objects hidden by turbid media, as smoke, fog or biological tissue, which has major implications in fields such as remote sensing or early diagnosis of diseases. Here, we combine structured incoherent illumination and bucket detection for imaging an absorbing object completely embedded in a scattering medium. A sequence of low-intensity microstructured light patterns is launched onto the object, whose image is accurately reconstructed through the light fluctuations measured by a single-pixel detector. Our technique is noninvasive, does not require coherent sources, raster scanning nor time-gated detection…

Materials sciencebusiness.industryDetectorHolographyTransilluminationIterative reconstructionSample (graphics)law.inventionOpticsCompressed sensinglawProof of conceptComputer visionArtificial intelligenceRaster scanbusinessSPIE Proceedings
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Long axial crystals for PET applications: The AX-PET demonstrator and beyond

2013

The usage of long, axially oriented scintillator crystals in a PET scanner has been shown by the AX-PET Demonstrator as a possible solution for a high resolution and high sensitivity PET detector. In the AX-PET implementation, arrays of wavelength shifting (WLS) strips, placed orthogonally behind every crystal layer, are used to define the axial coordinate. After extensive characterization measurements, the AX-PET Demonstrator has been successfully used for the reconstruction of several phantoms and a few rodents. Possible extensions of the AX-PET concept towards Time Of Flight capabilities have been investigated, using Philips digital SiPMs as alternative photodetector. Promising CRT value…

Materials sciencebusiness.industryDetectorPhotodetectorSTRIPSIterative reconstructionScintillatorlaw.inventionTime of flightOpticslawbusinessAxial symmetryImage resolution2013 IEEE Nuclear Science Symposium and Medical Imaging Conference (2013 NSS/MIC)
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Reconstruction Problem of Reinforced Concrete Beams under Harmonic Excitations

2007

A damage detection method based on harmonic structural vibrations has been applied to reconstruct realistic damage patterns of reinforced concrete beams. It was shown that the application of a hybrid method (genetic algorithm and Levenberg-Marquardt minimization technique) makes it possible to effectively reconstruct the flexural stiffness drops as small as 10-20% with the maximum error of 4%. The error increases to about 7 to 9% with the presence of 1% measurement noise.

Materials sciencebusiness.industryMechanical EngineeringFlexural rigidityStructural engineeringReinforced concreteNoise (electronics)VibrationReconstruction problemMechanics of MaterialsGenetic algorithmHarmonicGeneral Materials ScienceMinificationbusinessKey Engineering Materials
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A New Statistical Reconstruction Method for the Computed Tomography Using an X-Ray Tube with Flying Focal Spot

2021

Abstract This paper presents a new image reconstruction method for spiral cone- beam tomography scanners in which an X-ray tube with a flying focal spot is used. The method is based on principles related to the statistical model-based iterative reconstruction (MBIR) methodology. The proposed approach is a continuous-to-continuous data model approach, and the forward model is formulated as a shift-invariant system. This allows for avoiding a nutating reconstruction-based approach, e.g. the advanced single slice rebinning methodology (ASSR) that is usually applied in computed tomography (CT) scanners with X-ray tubes with a flying focal spot. In turn, the proposed approach allows for signific…

Materials sciencemedicine.diagnostic_testbusiness.industryComputed tomographyX-ray tubeReconstruction methodlaw.inventionOpticsArtificial IntelligenceHardware and ArchitecturelawModeling and SimulationFocal spotmedicineComputer Vision and Pattern RecognitionbusinessInformation SystemsJournal of Artificial Intelligence and Soft Computing Research
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Iterative Reconstruction of Memory Kernels.

2017

In recent years, it has become increasingly popular to construct coarse-grained models with non-Markovian dynamics to account for an incomplete separation of time scales. One challenge of a systematic coarse-graining procedure is the extraction of the dynamical properties, namely, the memory kernel, from equilibrium all-atom simulations. In this article, we propose an iterative method for memory reconstruction from dynamical correlation functions. Compared to previously proposed noniterative techniques, it ensures by construction that the target correlation functions of the original fine-grained systems are reproduced accurately by the coarse-grained system, regardless of time step and disc…

Mathematical optimization010304 chemical physicsDiscretizationGeneralizationComputer scienceIterative methodFOS: Physical sciences02 engineering and technologyIterative reconstructionConstruct (python library)Condensed Matter - Soft Condensed Matter021001 nanoscience & nanotechnology01 natural sciencesComputer Science ApplicationsKernel (image processing)Integrator0103 physical sciencesVerlet integrationSoft Condensed Matter (cond-mat.soft)Physical and Theoretical Chemistry0210 nano-technologyAlgorithmJournal of chemical theory and computation
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Genetic algorithms for 3d reconstruction with supershapes

2009

Supershape model is a recent primitive that represents numerous 3D shapes with several symmetry axes. The main interest of this model is its capability to reconstruct more complex shape than superquadric model with only one implicit equation. In this paper we propose a genetic algorithms to re-construct a point cloud using those primitives. We used the pseudo-Euclidean distance to introduce a threshold to handle real data imperfection and speed up the process. Simulations using our proposed fitness functions and a fitness function based on inside-outside function show that our fitness function based on the pseudo-Euclidean distance performs better.

Mathematical optimizationFitness functionSpeedupImplicit functionFitness approximation3D reconstructionPoint cloudFunction (mathematics)Iterative reconstructionAlgorithmMathematics2009 16th IEEE International Conference on Image Processing (ICIP)
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An Island Strategy for Memetic Discrete Tomography Reconstruction

2014

In this paper we present a parallel island model memetic algorithm for binary discrete tomography reconstruction that uses only four projections without any further a priori information. The underlying combination strategy consists in separated populations of agents that evolve by means of different processes. Agents progress towards a possible solution by using genetic operators, switch and a particular compactness operator. A guided migration scheme is applied to select suitable migrants by considering both their own and their sub-population fitness. That is, from time to time, we allow some individuals to transfer to different subpopulations. The benefits of this paradigm were tested in …

Mathematical optimizationInformation Systems and ManagementCorrectnessSettore INF/01 - InformaticaComputationMigration strategyBinary numberIterative reconstructionMemetic island modelNoisy projectionStability problemComputer Science ApplicationsTheoretical Computer ScienceOperator (computer programming)Artificial IntelligenceControl and Systems EngineeringImage reconstructionA priori and a posterioriMemetic algorithmAlgorithmDiscrete tomographySoftwareParallel discrete tomographyMathematics
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On properties of the iterative maximum likelihood reconstruction method

1989

In this paper, we continue our investigations6 on the iterative maximum likelihood reconstruction method applied to a special class of integral equations of the first kind, where one of the essential assumptions is the positivity of the kernel and the given right-hand side. Equations of this type often occur in connection with the determination of density functions from measured data. There are certain relations between the directed Kullback–Leibler divergence and the iterative maximum likelihood reconstruction method some of which were already observed by other authors. Using these relations, further properties of the iterative scheme are shown and, in particular, a new short and elementar…

Mathematical optimizationIterative proportional fittingIterative methodGeneral MathematicsKernel (statistics)Expectation–maximization algorithmGeneral EngineeringApplied mathematicsIterative reconstructionDivergence (statistics)Integral equationLocal convergenceMathematicsMathematical Methods in the Applied Sciences
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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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