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检索条件"主题词=Reconstruction Algorithms"

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reconstruction method for compensation of surface effects in transillumination laser CT

Reconstruction method for compensation of surface effects in...

引用

IEEE International Conference on Image Processing

作者： T. Yuasa B. Devaraj S. Tanosaki H. Taniguchi T. Akatsuka Yamagata University Yonezawa Japan Iwate University Ueda Japan

A reconstruction method for transillumination laser CT using optical heterodyne detection is proposed. Laser CT does not obey the Radon transform due to surface effects, which occur as a result of refractive index mismatch and bring about an annulus artifact. Optical attenuation with surface effects is described using an affine model. In addition, the constraint derived from the quantitative relationship between projections is introduced in order to obtain a stable solution to the system of equations. This reconstruction produces a least squares problem with the above-mentioned constraint, which is solved via the conjugate gradient method. The method is applied to data from a physical phantom.

关键词： reconstruction algorithms Surface reconstruction Optical attenuators Laser modes Optical mixing Optical refraction Optical variables control Optical detectors Surface emitting lasers Refractive index

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Electrical impedance tomography reconstruction algorithm using extended Kalman filter

Electrical impedance tomography reconstruction algorithm usi...

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IEEE International Symposium on Industrial Electronics (ISIE)

作者： H.-C. Kim K.Y. Kim J.W. Park H.J. Lee Dept. of Electrical Eng. Cheju National Univ. Cheju-do Korea Dept. of Electronic Eng. Cheju National Univ. Cheju Cheju-do Korea Dept. of Nuclear and Energy Eng. Cheju National Univ. Cheju Cheju-do Korea

ISBN: (纸本)0780370902

In electrical impedance tomography (EIT), the internal resistivity distribution of the unknown object is estimated using the boundary voltage data induced by different current patterns using various reconstruction algorithms. This paper presents a reconstruction algorithm based modified extended Kalman filter technique that is able to track fast change in the impedance distribution. The computer simulation for the 32 channels synthetic data shows that the reconstruction performance of the proposed scheme is improved compared to that of the conventional Kalman filter algorithm at the expense of slightly increased computational burden.

关键词： reconstruction algorithms Tomography Electrodes Voltage Image reconstruction Laplace equations Biomedical measurements Impedance measurement Geologic measurements Current measurement

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Multi-frame infinitesimal motion model for the reconstruction of (dynamic) scenes with multiple linearly moving objects

Multi-frame infinitesimal motion model for the reconstructio...

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International Conference on Computer Vision (ICCV)

作者： A. Shashua A. Levin School of Computer Science and Engineering Hebrew University Jerusalem Israel

ISBN: (纸本)0769511430

We introduce new small-motion multi-frame equations applicable to the reconstruction of dynamic scenes in which points are allowed to move along straight-line paths with constant velocity. The motion equations apply to both static and dynamic points, thus prior segmentation is not necessary. We present a reconstruction algorithm of camera motion, scene structure, and point trajectories embedded into a multi-frame factorization principle which requires the minimum of 11 images and 7 points (out of which at feast 3 are dynamic).

关键词： Layout Cameras Image reconstruction Transmission line matrix methods Equations Image segmentation Image sequences Computer science reconstruction algorithms Image analysis

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On signal reconstruction from Fourier magnitude

On signal reconstruction from Fourier magnitude

引用

IEEE International Conference on Electronics, Circuits and Systems (ICECS)

作者： G. Michael M. Porat Department of Electrical Engineering Technion-Israel Institute of Technology Haifa Israel

Three new algorithms for signal reconstruction from spectral magnitude are presented. The first describes the reconstruction of a signal from its discrete Fourier transform (DFT) magnitude and half of its samples using the decimation-in-time FFT algorithm which results in a closed-form solution for the unknown data. The second is based on localized Fourier transform magnitudes and a single spatial sample to fully reconstruct an image. The process reconstructs equal-sized image blocks, until the entire image is restored, using the spatial sample as initial data. The third scheme is a modification of the Gerchberg-Saxton iterative approach to image reconstruction. From the separability property of the 2-D DFT, an intermediate Fourier domain arises, and the reconstruction algorithm may impose twice as many Fourier magnitude constraints, compared to the conventional approach. The three algorithms are analyzed, and simulation results in the presence of measurement errors are presented.

关键词： Signal reconstruction Image reconstruction Discrete Fourier transforms Closed-form solution Fourier transforms Image restoration Iterative methods reconstruction algorithms Iterative algorithms Algorithm design and analysis

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Euclidean reconstruction and auto-calibration from continuous motion

Euclidean reconstruction and auto-calibration from continuou...

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International Conference on Computer Vision (ICCV)

作者： F. Kahl A. Heyden Centre for Mathematical Sciences Lund University Lund Sweden

ISBN: (纸本)0769511430

This paper deals with the problem of incorporating natural regularity conditions on the motion in an MAP estimator for structure and motion recovery from uncalibrated image sequences. The purpose of incorporating these constraints is to increase performance and robustness. Auto-calibration and structure and motion algorithms are known to have problems with (i) the frequently occurring critical camera motions, (ii) local minima in the non-linear optimization and (iii) the high correlation between different intrinsic and extrinsic parameters of the camera, e.g. the coupling between focal length and camera position. The camera motion (both intrinsic and extrinsic parameters) is modelled as a random walk process, where the inter-frame motions are assumed to be independently normally distributed. The proposed scheme is demonstrated on both simulated and real data showing the increased performance.

关键词： Cameras Image reconstruction Image sequences Motion estimation Layout Maximum likelihood estimation Robustness Calibration Feature extraction reconstruction algorithms

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3D biplanar reconstruction of scoliotic vertebrae using statistical models

3D biplanar reconstruction of scoliotic vertebrae using stat...

引用

Conference on Computer Vision and Pattern Recognition (CVPR)

作者： S. Benameur M. Mignotte S. Parent H. Labelle W. Skalli J.A. De Guise Laboratoire de recherche en imagerie et orthopédie CRCHUM Hôpital Notre Dame Montreal Canada Laboratoire d'imagerie en scoliose 3D Centre de recherche Hôpital Sainte Justine Montreal Canada Ecole de Technologie Supérieure Montreal Canada Laboratoire de vision et modélisation géométrique DIRO Université de Montréal Montréal Canada Laboratoire de biomécanique Ecole Nationale Supérieure dArts et Métiers Paris France

ISBN: (纸本)0769512720

This paper presents a new 3D reconstruction method of the scoliotic vertebrae of a spine, using two conventional radiographic views (postero-anterior and lateral), and global prior knowledge on the geometrical structure of each vertebra. This geometrical knowledge is efficiently captured by a statistical deformable template integrating a set of admissible deformations, expressed by the first modes of variation in the Karhunen-Loeve expansion of the pathological deformations observed on a representative scoliotic vertebra population. The proposed reconstruction method consists in fitting the projections of this deformable template with the segmented contours of the corresponding vertebra on the two radiographic views. The 3D reconstruction problem is stated as the minimization of a cost function for each vertebra and solved with a gradient descent technique. The reconstruction of the spine is then made vertebra by vertebra. This 3D reconstruction method has been successfully tested on several biplanar radiographic images, yielding very promising results.

关键词： Spine Image reconstruction Radiography reconstruction algorithms Pathology Cost function Deformable models Orthopedic surgery Solid modeling Art

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Tomographic image reconstruction using content-adaptive mesh modeling

Tomographic image reconstruction using content-adaptive mesh...

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IEEE International Conference on Image Processing

作者： J.G. Brankov Yongyi Yang M.N. Wernick Department of Electrical and Computer Engineering Illinois Institute of Technology Chicago IL USA

We propose the use of a content-adaptive mesh model (CAMM) for tomographic image reconstruction. In the proposed framework, the image to be reconstructed is first modeled by an efficient mesh representation. The image is then obtained through estimation of the nodal values from the measured data. The use of a CAMM can greatly alleviate the ill-posed nature of the reconstruction problem, thereby leading to improved quality in the reconstructed images. In addition, it can lead to development of efficient numerical reconstruction algorithms. Finally, it can be useful for motion-tracking of image sequences. The proposed methods are tested using simulated gated cardiac-perfusion SPECT images. Our results indicate that, among the methods tested, the proposed approach achieves the best performance in terms of image quality and computation time, and can also reduce the memory requirement.

关键词： Tomography Image reconstruction Pixel Interpolation Image sequences Testing reconstruction algorithms Computational modeling Image quality Bayesian methods

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Nonnegative definite quadratic penalty design for penalized-likelihood reconstruction

Nonnegative definite quadratic penalty design for penalized-...

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IEEE Symposium on Nuclear Science (NSS/MIC)

作者： J. Webster Stayman J.A. Fessler EECS Department University of Michigan USA

Likelihood-based estimators with conventional regularization methods generally produces images with nonuniform and anisotropic spatial resolution properties. Previous work on penalty design for penalized-likelihood estimators has led to statistical reconstruction methods that yield approximately uniform "average" resolution. However some asymmetries in the local point-spread functions persist. Such anisotropies result in the elongation of otherwise symmetric features like circular lesions. All previously published penalty functions have used nonnegative values for the weighting coefficients between neighboring voxels. Such nonnegativity provides a sufficient (but not necessary) condition to ensure that the penalty function is convex, which in turn ensures that the objective function has a unique maximizer. This paper describes a novel method for penalty design that allows a subset of the weighting coefficients to take negative values, while still ensuring convexity of the penalty function. We demonstrate that penalties designed under these more flexible constraints yield local point-spread functions that are more isotropic than the previous penalty design methods for 2D PET image reconstruction.

关键词： Image reconstruction Image resolution Anisotropic magnetoresistance Design methodology Spatial resolution Yield estimation reconstruction algorithms Positron emission tomography Nonuniform sampling Maximum likelihood detection

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Progressive 3D reconstruction from a sketch drawing

Progressive 3D reconstruction from a sketch drawing

引用

Pacific Conference on Computer Graphics and Applications

作者： Beom-Soo Oh Chang-Hun Kim Department of Computer Science and Engineering Korea University Seoul South Korea

ISBN: (纸本)0769512275

The paper presents a progressive algorithm for reconstructing a 3D structure from a given 2D sketch drawing (edge-vertex graph without hidden line removal) according to the user's sketch order. While previous methods reconstruct a 3D structure at once, the proposed method progressively calculate a 3D structure by optimizing the coordinates of vertices of an object according to the sketch order. The progressive method reconstructs the most plausible 3D object quickly by applying 3D constraints that are derived from the relationship between the object and the sketch drawing in the optimization process. Furthermore, it allows the user to change viewpoint during sketching, and also minimize distortion of an object by refining inaccurate sketch drawings. The progressive reconstruction algorithm is discussed, and examples from a working implementation are given.

关键词： Image reconstruction Image restoration Engineering drawings Optimization methods Constraint optimization reconstruction algorithms Product design Computer science Computer interfaces Design automation

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Experimental verification of 3D detector response compensation using the OSEM reconstruction method

Experimental verification of 3D detector response compensati...

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IEEE Symposium on Nuclear Science (NSS/MIC)

作者： S. Blinder A. Celler R.G. Wells D. Thomson R. Harrop Division of Nuclear Medicine Vancouver Hospital and Health Sciences Center Vancouver B.C Canada Nuclear Medicine Dept St. Joseph's Hospital London ON Canada Department of Physics University of British Columbia Vancouver B.C Canada

Detector blurring is a major factor in SPECT image degradation and several methods to include detector response compensation (DRC) into iterative reconstruction algorithms have been proposed. Here, we present a study to validate and quantify the performance of such correction using an approach that we have developed and which combines 3D DRC with a non uniform attenuation correction. The objective of this study was to estimate what is the best spatial resolution that could be experimentally achieved in an image reconstructed with both attenuation and resolution recovery corrections. For this purpose we have performed several tests involving physical phantoms and computer simulations. In experiments with capillary tubes in air the resolution came close to the pixel size and was equal to 3.6 mm. DRC convergence was slower when background activity was present but still resulted in an excellent, close to the pixel size, resolution in the image. Similar results were obtained for extended sources scanned in air and with background activity. In this last case, however, the speed of convergence of the reconstruction algorithm was substantially decreased. Additionally, we present the results of a study involving a simulated wrist model which showed that hot and cold defects of the size equal to /spl ap/6 mm can be detected when DRC was used. In summary, our experiments and simulations have demonstrated that including 3D DRC in the iterative reconstruction algorithm resulted in great improvement of image resolution and noise reduction that increased visibility of small details.

关键词： Detectors reconstruction algorithms Spatial resolution Image resolution Attenuation Convergence Degradation Iterative methods Image reconstruction Performance evaluation

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