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conference on image reconstruction from incomplete data Iv

作者： Tahtali, Murat Lambert, Andrew J. Fraser, Don UNSW Sch Aerosp Civil & Mech Eng ADFA Canberra ACT Australia UNSW Sch Informat Technol & Elect Engn ADFA Canberra ACT Australia

ISBN: (纸本)0819463957

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. A potentially more robust method of restoring the geometry is presented, which is also better suited to real-time implementation. The improvements were achieved by replacing the concept of prototype frame with the sequential registration of each frame with its nearest neighbour and the accurate accumulation of shiftmaps from any one frame to another without redundant calculations.

关键词： adaptive optics image registration image restoration

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Analysis and modelling of substitution disorder in the myosin lattice of vertebrate muscle

Analysis and modelling of substitution disorder in the myosi...

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conference on image reconstruction from incomplete data Iv

作者： Millane, R. P. Yoon, C. H. Blakeley, N. D. Goyal, A. Univ Canterbury Dept Elect & Comp Engn Computat Imaging Grp Private Bag 4800 Christchurch 1 New Zealand

ISBN: (纸本)0819463957

Myosin filaments are important components of striated muscle and pack in a semi-ordered, two-dimensional array. The array can be imaged by electron microscopy of thin cross-sections which indicates, for many species, that the filaments adopt two orientations that are distributed with short-ranging order. We describe analysis and modelling of this substitution disorder based on the micrographs and an Ising model.

关键词： image analysis electron micrograph lattice disorder myosin muscle Ising model

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Compressed sensing image reconstruction via recursive spatially adaptive filtering

Compressed sensing image reconstruction via recursive spatia...

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14th IEEE International conference on image Processing, ICIP 2007

作者： Egiazarian, Karen Foi, Alessandro Katkovnik, vladimir Institute of Signal Processing Tampere University of Technology P.O. Box 553 33101 Tampere Finland

ISBN: (纸本)1424414377

We introduce a new approach to image reconstruction from highly incomplete data. The available data are assumed to be a small collection of spectral coefficients of an arbitrary linear transform. This reconstruction problem is the subject of intensive study in the recent field of "compressed sensing" (also known as "compressive sampling"). Our approach is based on a quite specific recursive filtering procedure. At every iteration the algorithm is excited by injection of random noise in the unobserved portion of the spectrum and a spatially adaptive image denoising filter, working in the image domain, is exploited to attenuate the noise and reveal new features and details out of the incomplete and degraded observations. This recursive algorithm can be interpreted as a special type of the Robbins-Monro stochastic approximation procedure with regularization enabled by a spatially adaptive filter. Overall, we replace the conventional parametric modeling used in CS by a nonparametric one. We illustrate the effectiveness of the proposed approach for two important inverse problems from computerized tomography: Radon inversion from sparse projections and limited-angle tomography. In particular we show that the algorithm allows to achieve exact reconstruction of synthetic phantom data even from a very small number projections. The accuracy of oui- reconstruction is in line with die best results in the compressed sensing field. © 2007 IEEE.

关键词： Compressed sensing

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The optimal reconstruction from blurred and nonuniformly sampled data based on the optimum discrete approximation minimizing various worst-case measures of error

The optimal reconstruction from blurred and nonuniformly sam...

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conference on image reconstruction from incomplete data Iv

作者： Kida, Yuichi Kida, Takuro Ohu Univ Dept Pharm Koriyama Fukushima 9638611 Japan Nihon Univ Dept Elect & Elect Engn Koriyama Fukushima 9638642 Japan

ISBN: (纸本)0819463957

Extended interpolatory approximation is discussed for some classes of n-dimensional vector signals. Firstly, we present two sufficient conditions of the optimum approximation and prove that the proposed optimum approximation using fixed finite number of sample values satisfies these two conditions. Secondly, we discuss the optimum running approximation of n-dimensional time-limited vector signals based on a certain one-to-one correspondence between a vector signal and the corresponding vector error signal of approximation. The proposed optimum approximation has the minimum measure of error among almost all the linear and the nonlinear approximations using the same measure of error and generalized sample values. Note that the proposed optimum approximation can be realized by flexible FIR filter bank. The term "flexible" means that we can widely choose the number of paths and frequency response of time-invariant FIR analysis filters. Moreover, we can use sample points that are distributed on an arbitrary periodical pattern.

关键词： digital signal processing interpolation approximation the optimum approximation filter bank

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image reconstruction for the ClearPET™ Neuro

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NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT 2006年第2期569卷 381-385页

作者： Weber, Simone Morel, Christian Simon, Luc Krieguer, Magalie Rey, Martin Gundlich, Brigitte Khodaverdi, Maryam Forschungszentrum Juelich Cent Inst Elect D-52425 Julich Germany Univ Mediterranee Ctr Phys Particules Marseille Marseille France Inst Curie Paris France Vrije Univ Brussels Brussels Belgium Univ Lausanne Lausanne Switzerland

ClearPET (TM) is a family of small-animal PET scanners which are currently under development within the Crystal Clear Collaboration (CERN). All scanners are based on the same detector block design using individual LSO and LuYAP crystals in phoswich configuration, coupled to multi-anode photomultiplier tubes. One of the scanners, the ClearPET (TM) Neuro is designed for applications in neuroscience. Four detector blocks with 64 2 x 2 x 10 turn LSO and LuYAP crystals, arranged in line, build a module. Twenty modules are arranged in a ring with a ring diameter of 13.8 cm and an axial size of 11.2 cm. An insensitive region at the border of the detector heads results in gaps between the detectors axially and tangentially. The detectors are rotating by 360 in step and shoot mode during data acquisition. Every second module is shifted axially to compensate partly for the gaps between the detector blocks in a module. This unconventional scanner geometry requires dedicated image reconstruction procedures. data acquisition acquires single events that are stored with a time mark in a dedicated list mode format. Coincidences are associated off line by software. After sorting the data into 3D sinograms, image reconstruction is performed using the Ordered Subset Maximum A Posteriori One-Step Late (OSMAPOSL) iterative algorithm implemented in the Software for Tomographic image reconstruction (STIR) library. Due to the non-conventional scanner design, careful estimation of the sensitivity matrix is needed to obtain artifact-free images from the ClearPET (TM) Neuro. (c) 2006 Elsevier B.v. All rights reserved.

关键词： small-animal PET ClearPET image reconstruction list-mode

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MEGAlib - The Medium Energy Gamma-ray Astronomy Library

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NEW ASTRONOMY REvIEWS 2006年第7-8期50卷 629-632页

作者： Zoglauer, A. Andritschke, R. Schopper, F. Univ Calif Berkeley Space Sci Lab Berkeley CA 94720 USA Max Planck Inst Extraterr Phys D-37075 Garching Germany MPI Halbleiterlab Munich Germany

The Medium Energy Gamma-ray Astronomy Library MEGAlib is a set of software tools designed to analyze data of the next generation of Compton telescopes. The library comprises all necessary data analysis steps from data acquisition or simulation via event reconstruction to image reconstruction. (c) 2006 Elsevier B.v. All rights reserved.

关键词： gamma-ray telescopes and instrumentation data reduction techniques image processing

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Model-based image reconstruction for dynamic cardiac perfusion MRI from sparse data

Model-based image reconstruction for dynamic cardiac perfusi...

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28th Annual International conference of the IEEE-Engineering-in-Medicine-and-Biology-Society

作者： Awate, Suyash P. DiBella, Edward v. R. Tasdizen, Tolga Whitaker, Ross T. Univ Utah Sch Computing Salt Lake City UT 84112 USA Univ Utah Dept Radiol Salt Lake City UT 84108 USA

ISBN: (纸本)9781424400324

The paper presents a novel approach for dynamic magnetic resonance imaging (MRI) cardiac perfusion image reconstruction from sparse k-space data. It formulates the reconstruction problem in an inverse-methods setting. Relevant prior information is incorporated via a parametric model for the perfusion process. This wealth of prior information empowers the proposed method to give high-quality reconstructions from very sparse k-space data. The paper presents reconstruction results using both Cartesian and radial sampling strategies using data simulated from a real acquisition. The proposed method produces high-quality reconstructions using 14% of the k-space data. The model-based approach can potentially greatly benefit cardiac myocardial perfusion studies as well as other dynamic contrast-enhanced MRI applications including tumor imaging.

关键词： Cardiology

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Unifying the experiment design and constrained regularization paradigms for reconstructive imaging with remote sensing data

Unifying the experiment design and constrained regularizatio...

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IEEE International conference on image Processing (ICIP 2006)

作者： Shkvarko, Yuriy v. Leyva-Montiel, Jose L. villalon-Turrubiates, Ivan E. CINVESTAV Unidad Guadalajara Av Cientifica 1145Colonia El BajioCP 45010 Zapopan Jalisco Mexico

ISBN: (纸本)9781424404810

In this paper, the problem of estimating from a finite set of measurements of the radar remotely sensed complex data signals, the power spatial spectrum pattern (SSP) of the wavefield sources distributed in the environment is cast in the framework of Bayesian minimum risk (MR) paradigm unified with the experiment design (ED) regularization technique. The fused MR-ED regularization of the ill-posed nonlinear inverse problem of the SSP reconstruction is performed via incorporating into the MR estimation strategy the projection-regularization ED constraints. The simulation examples are incorporated to illustrate the efficiency of the proposed unified MR-ED technique.

关键词： signal processing image reconstruction regularization

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Creating face models from vague mental images

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COMPUTER GRAPHICS FORUM 2006年第3期25卷 645-654页

作者： Blanz, v. Albrecht, I. Haber, J. Seidel, H-P. Univ Siegen D-57068 Siegen Germany MPI Informat Saarbrucken Germany BLKA SIZ Munich Germany

We present a novel approach to create plausible 3D face models from vague recollections or incomplete descriptions. This task plays an important role in police work, where composite facial images of suspects need to be created from vague descriptions given by the eyewitnesses of an incident. Our approach is based on a morphable model of 3D faces and takes into account correlations among facial features based on human anatomy and ethnicity. Using these correlations, unspecified parts of the target face are automatically completed to yield a coherent face model. The system uses a novel paradigm for navigating face space and provides high-level control of facial attributes as well as the possibility to import facial features from a database. In addition, the user can specify a set of attribute constraints that are used to restrict the target face to a residual subspace. These constraints can also be enforced on the example faces in the database, bringing their appearance closer to the mental image of the user and thus avoiding confusing exposure to entirely different faces. We also propose a novel approach for adapting the system to local populations based on additional image databases that are converted into our 3D representation by automated shape reconstruction. We demonstrate the applicability of our system in a simulated forensic scenario and compare our results with those obtained by a professional forensic artist using state-of-the-art software for creating composite images in police work.

关键词： PICTURES MEMORY

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image metrics for the automated alignment of microtomography data

Image metrics for the automated alignment of microtomography...

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5th conference on Developments in X-Ray Tomography

作者： Donath, Tilman Beckmann, Felix Schreyer, Andreas GKSS Res Ctr Max Planck Str 1 D-21502 Geesthacht Germany

ISBN: (纸本)0819463973

The position of the rotation axis (center of rotation) is an important input parameter for the reconstruction of tomography data. We have recently presented a method for the determination of the center of rotation from sinogram data recorded in parallel-beam tomography, which is based on scoring of reconstructions with image metrics. The influence of noise on the metric value is investigated by simulation using a circular computer phantom. Limits on the precision of the method are discussed by calculation of the metric signal and its noise level. It is shown that for typical count rates and resolutions used in microtomographic imaging, the method enables to determine the center of rotation with a precision of better than 0.06 pixel.

关键词： image metric center of rotation X-ray microtomography synchrotron radiation tomographic reconstruction filtered back projection resolution noise

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