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检索条件"主题词=Reconstruction Algorithms"

共 6415 条记录，以下是91-100 订阅

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Comparison of reconstruction algorithms to extend CT reconstruction field-of-view

Comparison of reconstruction algorithms to extend CT reconst...

引用

IEEE Symposium on Nuclear Science (NSS/MIC)

作者： Baojun Li Jiang Hsieh The Applied Science Laboratory GE Healthcare Systems Waukesha WI USA

This paper evaluates the impact of reconstruction algorithms to extend CT reconstruction field-of-view (DFOV) on radiation dose calculation for oncology treatment planning. Three recon algorithms for extending DFOV are compared: 1) a symmetric-mirroring (SM) algorithm; 2) a sinogram interpolation (SI) algorithm; and 3) a water-cylinder fitting (WF) algorithm. Each of the IQ and anthropomorphic phantoms is scanned twice using GE Lightspeed 16. The first scans, where the phantoms are positioned inside the 50 cm DFOV, are used to establish the "ground truth"; while in the 2nd scans, the phantoms are positioned in such way that the edges are 4-8 cm outside the 50 cm DFOV. For quantitative assessment, a point of interest within 50 cm DFOV is chosen for each phantom, to which the accumulative attenuation in all views is calculated as a lst-order approximation of dose to be delivered to the point. The performance of the algorithms is evaluated by accumulative attenuation accuracy by comparing with the "ground truth". In reconstruction from all three algorithms, objects outside 50 cm DFOV are restored but image quality and accumulative attenuation varies among algorithms. The SM reconstruction results in restoration of low-attenuating objects in small truncation cases, but its ability to restore high-attenuating objects in large truncation cases is limited and produces worst attenuation accuracy due to the overly simplicity of the algorithm. The SI algorithm provides improved accuracy even in large truncation cases, especially for large-attenuating objects. But the CT number still significantly depart from the ground truth due to the lack of consistency in sinogram interpolation. WF produces significantly better image quality and >17% higher accuracy than SM and SI in all cases. In summary, it is feasible to extend the CT DFOV with algorithmic corrections. Among the selected algorithms, the WF algorithm provides reconstructions with the best quality for oncology treatment p

关键词： reconstruction algorithms Image reconstruction Computed tomography Imaging phantoms Attenuation Samarium Image restoration Oncology Interpolation Image quality

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Monotonic iterative reconstruction algorithms for targeted reconstruction in emission and transmission computed tomography

Monotonic iterative reconstruction algorithms for targeted r...

引用

IEEE Symposium on Nuclear Science (NSS/MIC)

作者： Patrick J. La Riviere Department of Radiology University of Chicago Chicago IL USA

Targeted reconstruction is reconstruction of a portion of an object, even when sufficient data are available to reconstruct the entire object. It is used in CT to zoom in on a region using smaller pixels without the burden of reconstructing a larger array. This is straightforward when using analytic algorithms. It is less apparent how to perform this kind of targeted reconstruction using iterative algorithms, since these algorithms involve reprojecting the entire object for comparison with the data. In this work, we consider two approaches to this problem. One is a simple extension of an approach previously proposed by Ziegler but which better preserves the statistical properties of the raw data. An initial analytic reconstruction is performed, the ROI of interest is removed, and what remains is reprojected to obtain an estimate of the contributions of the area outside the ROI to the projections. Then this estimate is added to the projections of the ROI at each iteration, allowing for comparison to be made with the original, unmodified data. The second approach treats the set of non-ROI projections as a second vector of unknowns, in addition to the pixel values within the ROI. We then seek to maximize a joint penalized likelihood objective function and we do so using an alternating update strategy that is guaranteed to monotonically increase the objective function.

关键词： reconstruction algorithms Computed tomography Image reconstruction Iterative algorithms Algorithm design and analysis Performance analysis Nuclear and plasma sciences Data analysis Pixel Image analysis

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Iterative reconstruction algorithms in optical tomography in frequency domain case

Iterative reconstruction algorithms in optical tomography in...

引用

International Forum on Strategic Technology, IFOST

作者： A.N. Bondarenko D.N. Ivanov NSTU Novosibirsk Russia

We present a review of methods for the forward and inverse problems in optical tomography. We limit ourselves to the highly scattering case found in applications in medical imaging, and to the problem of absorption an... 详细信息

关键词： reconstruction algorithms Tomography Frequency domain analysis Optical scattering Biomedical optical imaging Inverse problems Biomedical imaging Absorption Image reconstruction Finite element methods

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Noise propagation in iterative reconstruction algorithms with line searches

Noise propagation in iterative reconstruction algorithms wit...

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IEEE Symposium on Nuclear Science (NSS/MIC)

作者： J. Qi Department of Nuclear Medicine and Functional Imaging Lawrence Berkeley National Laboratory Berkeley CA USA

In this paper we analyze the propagation of noise in iterative image reconstruction algorithms. We derive theoretical expressions for the general form of preconditioned gradient algorithms with line searches. The results are applicable to a wide range of iterative reconstruction problems, such as emission tomography, transmission tomography, and image restoration. A unique contribution of this paper comparing to our previous work [J. Qi (2003)] is that the line search is explicitly modeled and we do not use the approximation that the gradient of the objective function is zero. As a result, the error in the estimate of noise at early iterations is significantly reduced.

关键词： reconstruction algorithms Iterative algorithms Image reconstruction Biomedical imaging Algorithm design and analysis Tomography Convergence Spatial resolution Image analysis Image restoration

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SPARSE SPECTRAL FACTORIZATION: UNICITY AND reconstruction algorithms

SPARSE SPECTRAL FACTORIZATION: UNICITY AND RECONSTRUCTION AL...

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IEEE International Conference on Acoustics, Speech and Signal Processing

作者： Yue M. Lu Martin Vetterli School of Engineering and Applied Sciences Harvard University Cambridge MA USA School of Computer and Communication Sciences Ecole Polytechnique Fédérale de Lausanne Lausanne Switzerland

Spectral factorization is a classical tool in signal processing and communications. It also plays a critical role in X-ray crystallography, in the context of phase retrieval. In this work, we study the problem of sparse spectralfactorization, aiming to recover a one-dimensional sparse signal from its autocorrelation. We present a sufficient condition for the recovery to be unique, and propose an iterative algorithm that can obtain the original signal (up to a sign change, time-shift and time-reversal). Numerical simulations verify the effectiveness of the proposed algorithm.

关键词： Correlation Frequency modulation Discrete Fourier transforms reconstruction algorithms Signal processing algorithms Concrete Image reconstruction

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Helical and axial cone beam filtered backprojection (CB-FBP) reconstruction algorithms using a general window function

Helical and axial cone beam filtered backprojection (CB-FBP)...

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IEEE Symposium on Nuclear Science (NSS/MIC)

作者： Xiangyang Tang Jiang Hsie R.A. Nilsen S.M. Mcolash Applied Science Lab GE Healthcare Technologies Waukesha WI USA Appl. Sci. Lab. GE Healthcare Technol. Waukesha WI USA GE Healthcare Technologies Functional and CT Engineering Waukesha WI USA

A window function is derived for cone beam reconstruction using filtered backprojection (CB-FBP) algorithms under both helical and circular source trajectories. The window function can be conceived as a generalization of the well-known Tam-window function that is originally derived for cone beam reconstruction under helical source trajectory. Rather than defining the window boundaries in a detector, the general window function deals with data redundancy by selecting the rays with the smallest cone angle. The primary benefit of the proposed general window function is the capability of appropriately dealing with data redundancy and removing cone beam artifacts under not only helical but also circular source trajectories. Based on the so-called cone-parallel geometry, a computer simulation study has been conducted to evaluate the general window function under both helical and circular source trajectories.

关键词： reconstruction algorithms Image reconstruction Detectors Medical services Telephony Computational geometry Computer simulation Computed tomography Apertures Nuclear and plasma sciences

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Improvement of reconstruction algorithms in digital holography

Improvement of reconstruction algorithms in digital holograp...

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Pacific Rim Conference on Lasers and Electro-Optics (CLEO/Pacific Rim)

作者： Yizhuo Zhang Dayong Wang Changgeng Liu Yuhong Wan Zhuqing Jiang College of Applied Sciences Beijing University of Technology Beijing China

Improved reconstruction algorithms based on the cyclical convolution are proposed. Comparing with traditional ones, the reconstruction pixel resolution and pixel quantity is fully controlled which is awfully required ... 详细信息

ISBN: (纸本)9781424438303

关键词： reconstruction algorithms Holography Image reconstruction Convolution DH-HEMTs Biological tissues Integral equations Holographic optical components Optical imaging Image resolution

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The importance of preconditioners in fast Poisson-based iterative reconstruction algorithms for SPECT

The importance of preconditioners in fast Poisson-based iter...

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IEEE Symposium on Nuclear Science (NSS/MIC)

作者： D.S. Lalush M.W. Tsui Department of Biomedical Engineering North Carolina State University Chapel Hill USA Department of Radiology North Carolina State University Chapel Hill USA

We study the effects of different preconditioners on Poisson-based iterative reconstruction algorithms. Preconditioners are linear transformations that map the image solution space for the reconstruction problem into a space where the likelihood function can be more efficiently optimized. We apply preconditioners to conjugate gradient (CG) algorithms seeking to optimize the Poisson log likelihood function for SPECT. We show that, without a preconditioner, such algorithms may converge more slowly than the ML-EM algorithm. Previous research has applied a preconditioner that depends on the current iteration's image estimate. However, these algorithms do not generate conjugate step directions and do not obtain the full benefit of the CG algorithm's speed. We propose a preconditioner that depends only on the measured projection data and remains constant with each iteration, thus generating nearly conjugate step directions. We show that our method optimizes the log likelihood function more efficiently than the previously proposed methods. We also show that, if the measured projection data contains few zero or near-zero projection bins, the Poisson CG algorithms have convergence rates comparable with those from weighted least-squares (WLS-CG) algorithms. We conclude that the performance of Poisson CG algorithms depends heavily on the preconditioner chosen, and that they can be made competitive with WLS-CG by manipulation of the preconditioners.

关键词： reconstruction algorithms Iterative algorithms Character generation Convergence Image reconstruction Biomedical measurements Cancer Biomedical engineering Radiology Image converters

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Dynamic PET reconstruction algorithms using empirical mode decomposition regularisation

Dynamic PET reconstruction algorithms using empirical mode d...

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IEEE International Symposium on Biomedical Imaging

作者： Andrew McLennan Michael Brady Wolfson Medical Vision Laboratory University of Oxford UK

ISBN: (纸本)9781424439317

Dynamic PET enables quantitative analysis of in-vivo metabolic activity. Commonly, each image in a temporal sequence is reconstructed independently using standard methods developed for static *** present reconstruction methods which use Empirical Mode Decomposition (EMD) based regularization. The methods extend conventional static OSEM reconstruction to ensure consistency between temporal frames. Various data-driven denoising methods are evaluated. The EMD denoising scheme has advantages over conventional Gaussian smoothing and wavelet denoising. We perform 1D and 2D+t dPET simulations to compare the new algorithms with conventional FBP and OSEM. The methods can accommodate a wide range of activity curves and pharmacokinetic models. The new methods result in lower minimum MSE and larger maximum SNR after fewer iterations than conventional algorithms.

关键词： Positron emission tomography reconstruction algorithms Image reconstruction Noise reduction Spatial resolution Biomedical imaging Image resolution Time measurement Laboratories Algorithm design and analysis

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Difference equation reconstruction algorithms based on generalized least square method

Difference equation reconstruction algorithms based on gener...

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International Conference on Actual Problems of Electronic Instrument Engineering (APEIE)

作者： A.S. Anisimov V.T. Kononov D.S. Khudyakov Novosibirskij gosudarstvennyj tehniceskij universitet Novosibirsk RU

ISBN: (纸本)0780359038

The possibilities and singularities of the use of the maximum likelihood method, for an improvement in the estimation of denominator polynomial factors at reconstruction of object discrete transfer function on noisy estimation of its impulse response, are considered. The application of this method reduces the necessity of a nonlinear algebraic system solution. A special iterative algorithm of solution of the system is proposed, on which each step, the solution of two linear systems is made. In this case the reconstruction error of the required factors is generated by an arbitrary choice of shaping filter transfer function order, and by the iterative character of a nonlinear system solution. The procedure of indirect monitoring of the obtained estimation effectiveness, by means of inspection of indices of centrality, whiteness and normality of generating noise estimation, is proposed.

关键词： Difference equations reconstruction algorithms Transfer functions Maximum likelihood estimation Polynomials Iterative algorithms Linear systems Character generation Filters Nonlinear systems

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