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检索条件"任意字段=Conference on Image Reconstruction from Incomplete Data III"

共 623 条记录，以下是341-350 订阅

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Investigation of limited-view image reconstruction in optoacoustic tomography employing a priori structural information

Investigation of limited-view image reconstruction in optoac...

引用

conference on image reconstruction from incomplete data VI

作者： Huang, Chao Oraevsky, Alexander A. Anastasio, Mark A. IIT Med Imaging Res Ctr Dept Biomed Engn Chicago IL 60616 USA TomoWave Labs Houston TX 77057 USA

ISBN: (纸本)9780819482969

Optoacoustic tomography (OAT) is an emerging ultrasound-mediated biophotonic imaging modality that has exciting potential for many biomedical imaging applications. There is great interest in conducting B-mode ultrasound and OAT imaging studies for breast cancer detection using a common transducer. In this situation, the range of tomographic view angles is limited, which can result in distortions in the reconstructed OAT image if conventional reconstruction algorithms are applied to limited-view measurement data. In this work, we investigate an image reconstruction method that utilizes information regarding target boundaries to improve the quality of the reconstructed OAT images. This is accomplished by developing boundary-constrained image reconstruction algorithm for OAT based on Bayesian image reconstruction theory. The computer-simulation studies demonstrate that the Bayesian approach can effectively reduce the artifact and noise levels and preserve the edges in reconstructed limited-view OAT images as compared to those produced by a conventional OAT reconstruction algorithm.

关键词： optoacoustic tomography photoacoustic tomography limited-view tomography Bayesian image reconstruction

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Sampling rates and image reconstruction from scattered fields

Sampling rates and image reconstruction from scattered field...

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conference on image reconstruction from incomplete data VI

作者： Shahid, Umer Fiddy, Michael A. Testorf, Markus E. Univ N Carolina Ctr Optoelect & Opt Commun 9201 Univ City Blvd Charlotte NC 28223 USA Dartmouth Coll Hanover NH 03755 USA

ISBN: (纸本)9780819482969

Cepstral filtering is reviewed as a suitable and efficient method to solve the inverse scattering problem in the case of strongly scattering permittivity distributions. The number and distribution of measured scattered field data required is discussed, as is the effective number of degrees of freedom available to describe the scattering structure. The latter is identified as a key parameter determining the performance of the cepstral method. This is of particular importance for strong scattering and nonlinear image processing methods since many data sets are compiled based on the sampling requirements of weakly scattering objects. We find that the domain of the object support and the maximum permittivity contrast are important prior information for determining the minimum number of data samples necessary while maximizing use of the available degrees of freedom;examples are presented.

关键词： Inverse Scattering Diffraction Tomography Sampling image reconstruction Born Approximation Strong Scattering

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In situ determination of wind fields from sailplane flight data

In situ determination of wind fields from sailplane flight d...

引用

conference on image reconstruction from incomplete data VI

作者： Zhang, Ni Millane, Rick P. Hunter, Alan J. Univ Canterbury Dept Elect & Comp Engn Christchurch 1 New Zealand Univ Bristol Dept Engn Mech Bristol Avon England

ISBN: (纸本)9780819482969

The problem of estimating the wind velocity from measurement of limited flight data from a sailplane flight in atmospheric mountain waves is considered. Sailplanes are often equipped with a flight recorder that records position, and sometimes other information, at regular intervals during the flight. These data contain information on the state of the atmosphere during the flight. A maximum likelihood method is developed for estimating wind fields using such sailplane flight data. The methods are evaluated by application to simulated flight data.

关键词： Maximum likelihood wind velocity aircraft sailplane

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A layered media approach to photoacoustic tomography

A layered media approach to photoacoustic tomography

引用

conference on image reconstruction from incomplete data VI

作者： Schoonover, Robert W. Anastasio, Mark A. IIT Pritzker Inst Biomed Engn & Sci Med Imaging Res Ctr Chicago IL 60616 USA

ISBN: (纸本)9780819482969

Photoacoustic tomography is a rapidly emerging imaging technique that can benefit a wide range of biomedical applications. In this method, illumination of an object with a pulsed optical field induces an acoustic pressure wave related to the heating of the object (optical absorption). from knowledge of the resultant pressure wave measured in a region away from the acoustic source, the object's spatially varying optical absorption properties are estimated by use of an image reconstruction algorithm. Most existing analytic reconstruction algorithms for photoacoustic tomography assume the object of interest possesses homogeneous acoustic properties. In this work, photoacoustic tomography is considered in the case that the primary acoustic source is embedded in a planar layered medium whose speed of sound and densities are known. Exact propagation models valid for acoustic wave propagation in dispersive and absorptive layered media are presented that account for multiple reflections between the layers. Using the angular spectrum method, an inversion model is presented for acoustic data acquired on a plane parallel to the layered medium. The acquired data are shown to be simple linear combinations of plane waves generated at the source.

关键词： photoacoustic tomography image reconstruction

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Reconstructing MR images from under- or unevenly-sampled k-space

Reconstructing MR images from under- or unevenly-sampled k-s...

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conference on image reconstruction from incomplete data VI

作者： Vu, Linda Hajian, Arsen R. Calamai, Paul H. Cenko, Andrew T. Rasheed, Sarbast Kim, Jae K. Piron, Cameron So, Simon S. Meade, Jeff T. Knuth, Kevin H. Univ Waterloo Dept Syst Design Engn 200 Univ Ave W Waterloo ON N2L 3G1 Canada Thunder Bay Reg Res Inst Thunder Bay ON Canada Sentinelle Med Inc Toronto ON Canada SUNY Albany Albany NY 12222 USA

ISBN: (纸本)9780819482969

In MRI, non-rectilinear sampling trajectories are applied in k-space to enable faster imaging. Traditional image reconstruction methods such as a fast Fourier transform (FFT) can not process datasets sampled in non-rectilinear forms (e. g., radial, spiral, random, etc.) and more advanced algorithms are required. The Fourier reduction of optical interferometer data (FROID) algorithm is a novel image reconstruction method(1-3) proven to be successful in reconstructing spectra from sparsely and unevenly sampled astronomical interferometer data. The framework presented allows a priori information, such as the locations of the sampled points, to be incorporated into the reconstruction of images. In this paper, the FROID algorithm has been adapted and implemented to reconstruct magnetic resonance (MR) images from data acquired in k-space where the sampling positions are known. Also, simulated data, including randomly sampled data, are tested and analyzed.

关键词： Random sampling MRI image reconstruction interpolation Fourier transform least squares fit

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Three-dimensional image visualization by maximum a posteriori estimation photon-counting integral imaging

Three-dimensional image visualization by maximum a posterior...

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conference on image reconstruction from incomplete data VI

作者： Do, Cuong Manh Univ Connecticut Dept Elect & Comp Engn Storrs CT 06269 USA

ISBN: (纸本)9780819482969

The author presents the maximum a posteriori (MAP) estimation method to estimate irradiance elemental images and reconstruct 3D images using photon-counting integral imaging. Elemental images are captured using the synthetic aperture integral imaging (SAII) technique. Photon-counting elemental images are generated using the Poisson distribution. The method can reconstruct 3D images more accurately than the one using maximum likelihood (MLE) estimation. This may be important in medical imaging as well as other photon-level applications.

关键词： Integral images photon-counting reconstruction maximum likelihood maximum a posteriori

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Understanding stochastic biological macromolecular complexes by estimating a mechanical model via statistical mechanics from cryo electron microscopy images

Understanding stochastic biological macromolecular complexes...

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conference on image reconstruction from incomplete data VI

作者： Wang, Kang Doerschuk, Peter C. Cornell Univ Ithaca NY 14853 USA

ISBN: (纸本)9780819482969

Cryo electron microscopy imaging experiments can lead to stochastic models for biological macromolecular complexes. However, interpreting the statistical variability is difficult. In some situations, the variability in the original complexes is due to primarily thermal fluctuations which are snap frozen in place by the preparation of the specimen. In this case the images are images of samples of the equilibrium statistical mechanics ensemble of the complex. Based on representing the complex by a lattice spring-mass mechanical model, an estimation problem for determining the masses and spring constants is described and demonstrated on synthetic data.

关键词： equilibrium statistical mechanics 3-D image understanding cryo electron microscopy virus structure

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Compressive Oscillatory Patterns Sensing in Natural images via Iterative Wave Atom Thresholding

Compressive Oscillatory Patterns Sensing in Natural Images v...

引用

IEEE 10th International conference on Signal Processing

作者： He, Peng

ISBN: (纸本)9781424458981

This paper focuses on the problem of oscillatory pattern reconstruction in natural images from the perspective of compressive sensing. An iterative wave atom thresholding method fur the recovery of oscillatory signals is presented. This allows a better reconstruction of natural images from highly incomplete measurements. Numerical experiments on real scenes demonstrate that the method capture the structures of complex oscillatory patterns.

关键词： compressive oscillatory pattern sensing compressive sensing image reconstruction image representation iterative methods iterative wave atom thresholding natural image pattern reconstruction

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Scattered image reconstruction of Pulsar B0834+06

Scattered image reconstruction of Pulsar B0834+06

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conference on image reconstruction from incomplete data VI

作者： Gao, J. J. Rickett, B. J. Coles, W. A. Univ Calif San Diego Dept Elect & Comp Engn La Jolla CA 92037 USA

ISBN: (纸本)9780819482969

The scattered radio image of a pulsar, as a result of the radio wave passing through the turbulent interstellar plasma, is a valuable probe of the plasma turbulence. However the scattering angles are so small, typically a few milli-arcsec, that the radio image cannot be resolved even with very long baseline interferometry (VLBI). Recently we ([1]) combined the secondary spectrum([2]) technique with VLBI astrometry to resolve the ambiguities in reconstructing the scattered image of pulsar B0834+06 at 327 MHz with an angular resolution 100 times finer than would have been possible with VLBI alone. However this technique can only reconstruct the outer portion of the image and it does not provide an estimate of the axial ratio of the plasma turbulence. Here we present a significant advancement of the technique which allows reconstruction of the central part of the image in two dimensions, providing an estimate of the axial ratio of the anisotropic turbulence. This technique relies on modeling a peculiar feature of the two dimensional Fourier transform of the dynamic spectrum (the secondary spectrum), called a "reverse arclet". For the 327 MHz observations of B0834+06 the secondary spectrum exhibits many identical reverse arclets. They originate from the interference between offset bright points and the core of the brightness distribution. The technique has also been tested using simulated data that confirms the image reconstruction algorithm.

关键词： ISM Turbulence image reconstruction Pulsar B0834+06 VLBI Parabolic arcs

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Weighted least-squares image reconstruction in phase-contrast tomography

Weighted least-squares image reconstruction in phase-contras...

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conference on image reconstruction from incomplete data VI

作者： Huang, Pin-Yu Chou, Cheng-Ying Natl Taiwan Univ Dept Bioind Mechatron Engn Taipei 106 Taiwan

ISBN: (纸本)9780819482969

X-ray phase-contrast tomography (PCT) methods seek to quantitatively reconstruct separate images that depict an object's absorption and refractive properties. Most PCT reconstruction algorithms generally operate by explicitly or implicitly performing the decoupling of the projected absorption and phase properties at each tomographic view angle by use of a phase-retrieval formula, followed by the inversion of X-ray transform. Tomographic reconstruction by use of statistical methods can account for the noise model and a priori information, and thereby can produce images with better quality over conventional filtered backprojection algorithms. We proposed a weighted least-squares method that takes into account the second-order statistical properties of the projected phase images and aims to minimize the objective function by employing a conjugate-gradient (CG) method. A computer-simulation study was carried out to investigate and evaluate the developed method.

关键词： X-ray phase-contrast tomography noise texture weighted least-squares conjugate-gradient

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