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

共 516 条记录，以下是261-270 订阅

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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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Scattered image reconstruction of Pulsar B0834+06

Scattered image reconstruction of Pulsar B0834+06

引用

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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Weighted Total Variation Constrained reconstruction for Reduction of Metal Artifact in CT

Weighted Total Variation Constrained Reconstruction for Redu...

引用

IEEE Nuclear Science Symposium (NSS)/Medical Imaging conference (MIC)/17th International Workshop on Room-Temperature Semiconductor X-ray and Gamma-ray Detectors

作者： Zhang, Yanbo Mou, Xuanqin Yan, Hao Xi An Jiao Tong Univ Inst Image Proc & Pattern Recognit Xian 710049 Shaanxi Peoples R China

ISBN: (纸本)9781424491063

TV constrained reconstruction could obtain perfect results from incomplete data, and has been applied to reduce metal artifact by assuming that the projection contaminated by metal is missing. In TV constrained reconstruction, the selection of a proper step parameter for TV minimization procedure is a key point. However, this parameter is usually selected empirically, and it is a constant for all pixels in the whole image domain, regardless of the difference of missing projection quantity at different pixels. By analyzing the relationship between the missing projections and pixels position, a Weighted Total Variation (WTV) constrained reconstruction method is proposed to reduce metal artifact in this paper. For WTV constrained method, the parameters are no longer the same, but vary over image domain as the introduced information miss rate. The simulation results show that the proposed method is more effective than current TV constraint to reduce metal artifact. Moreover, WTV constrained method is extended to other incomplete projection problems.

关键词： Pixels

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Multiple image reconstruction for high-resolution optical imaging using structured illumination

Multiple image reconstruction for high-resolution optical im...

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conference on image reconstruction from incomplete data VI

作者： Usuki, S. Kudo, R. Takahashi, S. Takamasu, K. Shizuoka Univ Div Global Res Leaders 3-5-1 Johoku Hamamatsu Shizuoka 4328561 Japan Univ Tokyo Dept Precis Engn Tokyo 1138656 Japan

ISBN: (纸本)9780819482969

The resolving power in optical imaging is limited not only by optical diffraction but also by the sampling size, which in turn is determined by the optical magnification and pixel size of the imaging devices such as CCD or CMOS. In order to exceed these limits, we propose a method for improving the optical resolving power by using structured illumination shift and multiple image reconstruction. Theoretical and experimental verifications reveal that the use of structured light illumination together with successive approximation (which provides the extrapolation effect) causes the resolving power of the proposed method to exceed the optical diffraction limit. Furthermore, we focused on subpixel sampling using the structured illumination shift method. Subpixel image processing can improve the resolving power without narrowing the visual field of the imaging optics. In addition, the proposed method can provide subpixel resolving power without necessitating the mechanical displacement of the CCD camera. We investigated the relationship between the CCD pixel size and the resolving power provided by the proposed method. We found that the subpixel spatial shift of the structured illumination not only improves the optical resolving power but also enables sub-pixel sampling for optical imaging.

关键词： optical imaging image reconstruction structured illumination super-resolution

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Graphics Processing Unit restoration of non-uniformly warped images using a typical frame as prototype

Graphics Processing Unit restoration of non-uniformly warped...

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conference on image reconstruction from incomplete data VI

作者： Tahtali, Murat Lambert, Andrew J. Fraser, Donald Univ New S Wales Australian Def Force Acad Sch Engn & Informat Technol Canberra ACT 2600 Australia

ISBN: (纸本)9780819482969

When imaging through the atmosphere, the resulting image contains not only the desired scene, but also the adverse effects of all the turbulent air mass between the camera and the scene. These effects are viewed as a combination of non-uniform blurring and random shifting of each point in the received short-exposure image. Corrections for both aspects of this combined distortion have been tackled reasonably successfully by previous efforts. We presented in an earlier paper a more robust method of restoring the geometry by redefining the place of the prototype frame and by reducing the adverse effect of averaging in the processing sequence. We present here a variant of this method using a Minimum Sum of Squared Differences (MSSD) cross-correlation registration algorithm implemented on a Graphics Processing Unit (GPU). The raw speed-up achieved using GPU code is in the order of x1000. Two orders of magnitude speed-up on the complete algorithm will allow for better fine tuning of this method and for experimentation with various registration algorithms.

关键词： image registration shiftmaps atmospheric warp image restoration GPU computing CUDA

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Ill-posedness of space-variant image deconvolution

Ill-posedness of space-variant image deconvolution

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conference on image reconstruction from incomplete data VI

作者： Kieweg, Michael Gross, Herbert Sievers, Torsten Mueller, Lothar Carl Zeiss Corp Res & Technol D-73446 Oberkochen Germany Carl Zeiss Corp Res & Technol D-07745 Jena Germany

ISBN: (纸本)9780819482969

In optical systems with quite good correction, the field-dependence of aberrations often can be neglected. In low performance systems, for the application of deconvolution methods the field-dependence of the point spread function must be taken into account. However, the number of publications dealing with the topic of space-variant deconvolution in order to compensate system aberrations is quite low. In this contribution, we investigate the fundamental difficulty accompanied by space-variant deconvolution, which makes the problem ill-posed, even in the case of non-vanishing modular transfer functions and the assumption of noise-free imaging. The spatial frequencies of the image spectrum are mixed depending on the field-dependencies of the optical aberrations. In general, it is therefore not possible to reconstruct the individual frequencies exactly. Some discrete examples with a non unique solution are presented. For the 2D case, we will show and investigate how the most popular algorithms deal with this fundamental problem for different typical types of optical aberrations. Depending on the aberration, the computational results for those algorithms differ from very good results to images with artifacts. The Lucy Richardson method, which is often recommended in the case of space-invariant image reconstruction since it may even reconstruct frequencies above the cut off frequency, provides poor results for unsymmetrical space-variant aberrations like Coma or a simple Tilt. However, we will show that a simpler method like the Landweber algorithm is better suited to deal with those kinds of aberrations.

关键词： Space-variant deconvolution image restoration optical aberrations

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