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

共 1585 条记录，以下是1261-1270 订阅

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A new super-short-scan algorithm for fan-beam and cone-beam reconstruction

A new super-short-scan algorithm for fan-beam and cone-beam ...

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conference on image reconstruction from incomplete data III

作者： Li, LA Chen, ZQ Kang, KJ Zhao, ZR Tsing Hua Univ Dept Engn Phys Beijing 100084 Peoples R China

ISBN: (纸本)0819455008

In this paper we discuss image reconstruction algorithms in super-short-scan fan-beam and cone-beam computed tomography (CT). We propose a new fan-beam filtered back-projection algorithm which can obtain exact region of interest (ROI) reconstruction if and only if every projecting line passing through the ROI intersects the source trajectory, even if the scanning range is smaller than the half-scan. And we prove the algorithm is approximate when the projections are truncated. Furthermore, we expand the algorithm to cone-beam reconstruction. Then we simulate the algorithm on the computer and evaluate the noise properties of the new algorithm and the other algorithms. Numerical results in our work suggest that the new algorithm is generally less susceptible to data noise and less artifacts than the before algorithms. In particular, the new algorithm is easily and successfully expanded to cone-beam tomography when the source trajectory is a short-arc on the single circle or on the helical trajectory.

关键词： tomography image reconstruction super-short-scan cone-beam FDK

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Determination of myosin filament positions and orientations in electron micrographs of muscle cross-sections

Determination of myosin filament positions and orientations ...

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conference on image reconstruction from incomplete data III

作者： Bödvarsson, B Klim, S Mortensen, S Morkebjerg, M Chen, J Maclaren, JR Yoon, CH Luther, PK Squire, JM Bainbridge-Smith, A Bones, PJ Millane, RP Univ Canterbury Dept Elect & Comp Engn Christchurch 1 New Zealand

ISBN: (纸本)0819455008

An automated image analysis system for determination of myosin filament orientations in electron micrographs of muscle cross-sections is described. Analysis of the distribution of the orientations is important in studies of muscle structure, particularly for interpretation of x-ray diffraction data. Filament positions are determined using h-dome extraction and image filtering, based on grayscale reconstruction. Erroneous locations are eliminated based on lattice regularity. Filament orientations are determined by correlation with a template that incorporates the salient filament characteristics and classified using a Gaussian mixture model. Application to a number of micrographs and comparison with manual classifications of orientations shows that the system is effective in many cases.

关键词： image analysis morphology electron micrograph lattice disorder myosin muscle

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Parallel multiframe blind deconvolution using wavelength diversity

Parallel multiframe blind deconvolution using wavelength div...

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conference on image reconstruction from incomplete data III

作者： Ingleby, HR McGaughey, DR Royal Mil Coll Canada Dept Elect & Comp Engn Kingston ON K7K 7B4 Canada

ISBN: (纸本)0819455008

The resolution of images captured through ground-based telescopes is generally limited by blurring effects due to atmospheric turbulence. We have developed a method to estimate both the original objects and the blurring function from a sequence of noisy blurred images, simultaneously collected at different wavelengths (wavelength diversity). The assumption of common path-length errors across the diversity channels allows for a parallel deconvolution procedure that exploits this coupling. In contrast with previous work, no a priori assumptions about the object's intensity distribution are required. The method is described, and preliminary results with real images collected with a bench-scale imaging system are presented, demonstrating the promise of the algorithm.

关键词： deconvolution wavelength diversity image restoration/reconstruction

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Fundamental limits to noise reduction in images using support - benefits from deconvolution

Fundamental limits to noise reduction in images using suppor...

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conference on image reconstruction from incomplete data III

作者： Matson, CL Beckner, CC Schulze, KJ USAF Res Lab Kirtland AFB NM 87117 USA

ISBN: (纸本)0819455008

The usefulness of support constraints to achieve noise reduction in images is analyzed here using an algorithm-independent Cramer-Rao bound approach. Recently, it has been shown that the amount of noise reduction achievable using support as a constraint is a function of the image-domain noise correlation properties. For image-domain delta-correlated noise sources (such as Poisson and CCD read noise), applying a support constraint does not reduce noise in the absence of deconvolution due to the lack of spatial correlation. However, when deconvolution is included in the image processing algorithm, the situation changes significantly because the deconvolution operation imposes correlations in the measurement noise. Here we present results for an invertible system blurring function showing how noise reduction occurs with support and deconvolution. In particular, we show that and explain why noise reduction preferentially occurs at the edges of the support constraint.

关键词： support deconvolution Cramer-Rao bounds image reconstruction noise reduction

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Dynamic demosaicing and color super-resolution of video sequences

Dynamic demosaicing and color super-resolution of video sequ...

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conference on image reconstruction from incomplete data III

作者： Farsiu, S Robinson, D Elad, M Milanfar, P Univ Calif Santa Cruz Dept Elect Engn Santa Cruz CA 95064 USA

ISBN: (纸本)0819455008

In the last two decades a variety of super-resolution (SR) methods have been proposed. These methods usually address the problem of fusing a set of monochromatic images to produce a single monochromatic image with higher spatial resolution. In this paper we address the dynamic and color SR problems of reconstructing a high-quality set of colored super-resolved images from low-quality mosaiced frames. Our approach includes a hybrid method for simultaneous SR and demosaicing, this way taking into account practical color measurements encountered in video sequences. For the case of translational motion and common space-invariant blur, the proposed method is based on a very fast and memory efficient approximation of the Kalman filter. Experimental results on both simulated and real data are supplied, demonstrating the presented algorithm, and its strength.

关键词： Lawrencium Optical filters image fusion Motion models Matrices image filtering Cameras Filtering (signal processing) image processing video

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Unified imaging theory for X-ray and acoustic computerized tomography

Unified imaging theory for X-ray and acoustic computerized t...

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conference on image reconstruction from incomplete data III

作者： Liu, PY Wang, G Boyer, A Stanford Univ Dept Radiat Oncol Stanford CA 94305 USA

ISBN: (纸本)0819455008

X-ray computerized tomography (CT) and acoustic CT are two main medical imaging modalities based on two intrinsically different physical phenomena. X-ray CT is based on xray's attenuation when x-ray passes through medium. It has been well known that the Radon transform is the imaging theory for x-ray CT. Photoacoustic CT is a type of acoustic CT, which is based on differentiating electromagnetic energy absorption among media. In 1998 a new 3D reconstruction concept, the P-transform, was proposed to serve the imaging theory for photoacoustic CT. In this paper it was rigorously proved that both x-ray CT and photoacoustic CT are governed by a unified imaging theory. 3D data acquisition can be completed in 2pi stereoangle. This new imaging theory realized, in part, the dream of all physicists, including Albert Einstein, who have long believed that our world is ultimately governed by few simple rules.

关键词： image reconstruction P-transform Radon transform

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Regularized two-step brain activity reconstruction from spatiotemporal EEG data

Regularized two-step brain activity reconstruction from spat...

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conference on image reconstruction from incomplete data III

作者： Alecu, TI voloshynovskiy, S Pun, T Comp Vision & Multimedia Lab CH-1211 Geneva 4 Switzerland

ISBN: (纸本)0819455008

We are aiming at using EEG source localization in the framework of a Brain Computer Interface project. We propose here a new reconstruction procedure, targeting source (or equivalently mental task) differentiation. EEG data can be thought of as a collection of time continuous streams from sparse locations. The measured electric potential on one electrode is the result of the superposition of synchronized synaptic activity from sources in all the brain volume. Consequently, the EEG inverse problem is a highly underdetermined (and ill-posed) problem. Moreover, each source contribution is linear with respect to its amplitude but non-linear with respect to its localization and orientation. In order to overcome these drawbacks we propose a novel two-step inversion procedure. The solution is based on a double scale division of the solution space. The first step uses a coarse discretization and has the sole purpose of globally identifying the active regions, via a sparse approximation algorithm. The second step is applied only on the retained regions and makes use of a fine discretization of the space, aiming at detailing the brain activity. The local configuration of sources is recovered using an iterative stochastic estimator with adaptive joint minimum energy and directional consistency constraints.

关键词： Brain Computer Interface EEG source localization inverse problem regularization stochastical estimators

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Super-resolution in imagery arising from observation through anisoplanatic distortion

Super-resolution in imagery arising from observation through...

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conference on image reconstruction from incomplete data III

作者： Lambert, A Fraser, D Univ New S Wales Sch Informat Technol & Elect Engn Canberra ACT 2600 Australia

ISBN: (纸本)0819455008

The possibility of obtaining spatial frequency information normally excluded by an aperture has been surmised, experimentally obtained in the laboratory, and observed in processed real world imagery. This opportunity arises through the intervention of a turbulent mass between the stationary wide-area object of interest and the short exposure, imaging instrument, but the frequency information is aliased, and must-be de-aliased to render it useful. We present evidence of super-resolution in real-world surveillance imagery that is processed by hierarchical registration algorithms. These algorithms have been enhanced over those we previously reported. We discuss these enhancements and give examples of the use of the algorithm to gain information about the turbulence. To further reinforce the presence of super-resolution we present two methods for creating imagery warped by Kolmogorov turbulent phase screens, so that the results can be confirmed against true images.

关键词： super-resolution digital image restoration astronomical imaging surveillance imaging atmospheric turbulence image registration Wiener filter

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Eigen-analysis for classifying chest x-ray images

Eigen-analysis for classifying chest x-ray images

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conference on image reconstruction from incomplete data III

作者： Bones, PJ Butler, APH Univ Canterbury Dept Elect & Comp Engn Canterbury New Zealand

ISBN: (纸本)0819455008

A method first employed for face recognition has been employed to analyse a set of chest x-ray images. After marking certain common features on the images, they are registered by means of an affine transformation. The differences between each registered image and the mean of all images in the set are computed and the first K principal components are found, where K is less than or equal to the number of images in the set. These form eigenimages (we have coined the term 'eigenchests') from which an approximation to any one of the original images can be reconstructed. Since the method effectively treats each pixel as a dimension in a hyperspace, the matrices concerned are huge;we employ the method developed by Turk and Pentland for face recognition to make the computations tractable. The K coefficients for the eigenimages encode the variation between images and form the basis for discriminating normal from abnormal. Preliminary results have been obtained for a set of eigenimages formed from a set of normal chests and tested on separate sets of normals and patients with pneumonia. The distributions of coefficients have been observed to be different for the two test sets and work is continuing to determine the most sensitive method for detecting the differences.

关键词： eigen-analysis x-ray images chest radiographs image classification diagnosis

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Removing image artifacts in optoacoustic tomography using virtual transducer restoration

Removing image artifacts in optoacoustic tomography using vi...

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conference on Photons Plus Ultrasound

作者： Patrickeyev, I Oraevsky, AA Inst Continuous Media Mech Perm Russia

ISBN: (纸本)0819452289

We propose an approach allowing significant reduction or even complete removal of artifacts that can appear in optoacoustic images acquired with limited number of transducers (missing detectors) due to incomplete data. In optoacoustic tomography the image is reconstructed from a set of acoustic transducers located on the surface of tissue irradiated by a laser. The rigorous solution of the tomographic problem requires covering of the entire surface of the illuminated volume by an array of transducers. However, in practice, only portion of the surface is available. As a result of data incompleteness, artifacts (usually looking like arc-shaped shadows extending from the bright objects) can appear. These artifacts limit the spatial resolution, degrade the image contrast and distort shapes of the reconstructed objects. The results of the numerical simulation, presented in this work, show that the intensity and the shape of the "arc-shadow" artifacts depend on the surface area of uncovered by the acoustic detectors. The cause of the artifacts appearance is the violation of the absorbed energy conservation by the image reconstruction algorithm. Such explanation of this fact represents a key for removal of these artifacts. As presented in the paper, the intensity of the artifacts could be reduced by partial restoration of the missed transducers. In case of sufficient a priori information about number of objects, the proposed algorithm can be considered as the interpolation/extrapolation of the data or substitution of the missed signal by averaged real signal taking into account energy conservation. In a common case, the signals of virtual transducers are restored from the distorted image using the solution of the wave equation. Then the cleaned image is reconstructed from the complete set of signals combining real and virtual transducers. These operations can be repeated iteratively until artifacts become weak. The accuracy of the image reconstruction depends on the number

关键词： optoacoustic imaging resolution contrast incomplete data artifacts inverse problem

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