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检索条件"主题词=Reconstruction algorithms"

共 6388 条记录，以下是131-140 订阅

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Fast reconstruction algorithms For Three-dimensional Electrical Impedance Tomography

Fast Reconstruction Algorithms For Three-dimensional Electri...

引用

Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： J. Goble D. Isaacson Departments of Computer Science and Mathematics Rensselaer Polytechnic Institute Troy NY USA

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General fan-beam and cone-beam reconstruction algorithms formula for free form trajectories

General fan-beam and cone-beam reconstruction algorithms for...

引用

IEEE Symposium on Nuclear Science (NSS/MIC)

作者： Liang Li Zhiqiang Chen Yuxiang Xing Department of Engineering Physics Tsinghua University Beijing Beijing China Department of Engineering Physics Tsinghua University Beijing China Tsinghua University Beijing China

ISBN: (纸本)0780387007

In this paper we develop a general exact fan-beam reconstruction algorithm for free-form trajectories not only closed but also unclosed, based on the fan-beam reconstruction formula recently developed by Noo et al. [1]. With this algorithm we can obtain exact region of interest (ROI) reconstruction if and only if every projecting line passing through the ROI intersects the free-form source trajectory, when the projections are not truncated. Furthermore, under the condition that the source-to-detectors distance changes slowly enough relative to the length of itself, we obtain a very good approximate reconstruction formula. And we also develop an reconstruction algorithm for nonstandard spirals with different pitches, based on some developments in the recent two years. In the end the fan-beam formula is tested using the Shepp-Logan phantom the formula can get perfect numerical results.

关键词： reconstruction algorithms Image reconstruction X-ray imaging Computed tomography Spirals Testing Imaging phantoms Educational programs Physics education Positron emission tomography

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Comparative Analysis of Compressive Sensing reconstruction algorithms for ECG Signals

Comparative Analysis of Compressive Sensing Reconstruction A...

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International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing (CoSeRa)

作者： Bharat Lal Khushal Das Miguel Heredia Conde Pasquale Corsonello Raffaele Gravina DIMES University of Calabria Italy IHCT University of Wuppertal Germany

ISBN: (数字)9798350365504

ISBN: (纸本)9798350365511

In the era of the Internet of Medical Things (IoMT), modern healthcare devices generate vast amounts of data, necessitating enhanced data processing, storage, transmission bandwidth, and increased power consumption, especially in sensing applications. Compressive Sensing (CS) addresses these challenges by enabling signal acquisition with fewer samples than the traditional Nyquist rate, thereby conserving power. This is particularly beneficial for mobile healthcare applications, such as Electrocardiogram (ECG) monitoring, which require continuous monitoring and substantial power and bandwidth for signal transmission and reconstruction. Despite various CS strategies and reconstruction algorithms explored for ECG signals, achieving high accuracy with a high compression ratio remains a challenge. This research analyzes six sensing strategies two sparse bases nine reconstruction algorithms, to identify the most efficient method for ECG signal processing within the CS framework. From our analysis it shows that RL1 with db2 sparse basis shows the averagely superior performance with RGM, RBMB and RBMS and RLDPC sensing matrices and CVX-L1 shows the good parformance with SFM sensing matrix.

关键词： Signal processing algorithms Bandwidth Electrocardiography reconstruction algorithms Radar imaging Sensors Sparse matrices Discrete cosine transforms Monitoring Compressed sensing

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Software for evaluating image reconstruction algorithms

Software for evaluating image reconstruction algorithms

引用

IEEE Symposium on Nuclear Science (NSS/MIC)

作者： J.A. Browne G.T. Herman Medical Image Processing Group Department of Radiology University of Pennsylvania Philadelphia PA USA

The proliferation of image reconstruction algorithms imposes a need for an efficient and objective evaluation procedure for comparing the efficacy of different algorithms for a particular medical task. In assessing the relative task-oriented performance of reconstruction algorithms, it is desirable to assign statistical significance to claims of superiority of one algorithm over another. However, very often the achievement of statistical significance demands a large number of observations. Performing such an evaluation on mathematical phantoms requires a means of running the competing algorithms on projection data obtained from a large number of randomly generated phantoms. Thereafter, various numerical measures of agreement between the reconstructed images and the original phantoms may be used to reach a conclusion which has some statistical substance. Here, the authors illustrate the software SuperSNARK which automates an evaluation methodology for assigning statistical significance to the observed differences in performance of two or more image reconstruction algorithms. In particular, the authors compare the relative efficacy of the maximum likelihood expectation maximization algorithm and the filtered backprojection method for performing three specific imaging tasks in positron emission tomography.< >

关键词： Image reconstruction Software algorithms reconstruction algorithms Humans Imaging phantoms Performance evaluation Positron emission tomography Biomedical image processing Radiology Biomedical imaging

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Quantification improvement in EIT reconstruction algorithms by incorporating a priori geometrical information

Quantification improvement in EIT reconstruction algorithms ...

引用

Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： A. Frangi P. Riu Department dEnginyeria Electronica Universitat Politecnica de Catalunya Barcelona Spain

In this paper we develop a method that introduces a priori geometrical information about a conductivity distribution in EIT reconstruction algorithms in order to improve their quantification ability. We propose correction expressions for two reconstruction algorithms: backprojection algorithm and exponential algorithm. There is no theoretical evidence of the uniqueness of the solution to the inverse boundary problem which EIT deals with. We focused our attention to the problem of a circular centred uniform perturbation in a uniform background. It is easily seen that for cosine profiles there are different combinations of conductivity change and perturbation radius that yield the same voltage change. A similar result is obtained for adjacent injection profiles. This supports the fact that the kind of correction we propose is necessary not only as a consequence of the behaviour of the reconstruction algorithm but also because of the nature of the problem.

关键词： reconstruction algorithms Electrodes Conductivity Voltage Tomography Impedance measurement Root mean square Engineering in Medicine and Biology Society

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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： 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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A Benchmarking Dataset for Performance Evaluation of Automatic Surface reconstruction algorithms

A Benchmarking Dataset for Performance Evaluation of Automat...

引用

Conference on Computer Vision and Pattern Recognition (CVPR)

作者： Anke Bellmann Olaf Hellwich Volker Rodehorst Ulas Yilmaz Computer Vision & Remote Sensing Berlin University of Technology Berlin Germany

Numerous techniques were invented in computer vision and photogrammetry to obtain spatial information from digital images. We intend to describe and improve the performance of these vision techniques by providing test objectives, data, metrics and test protocols. In this paper we propose a comprehensive benchmarking dataset for evaluating a variety of automatic surface reconstruction algorithms (shape-from-X) and a methodology for comparing their results.

关键词： Surface reconstruction reconstruction algorithms Calibration Robot vision systems Digital cameras CMOS image sensors Pixel Computer vision Testing Image reconstruction

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POCS: a uniform framework for iterative image reconstruction algorithms

POCS: a uniform framework for iterative image reconstruction...

引用

Canadian Conference on Electrical and Computer Engineering (CCECE)

作者： G.E. Mailloux R. Noumeir R. Lemieux Médecin nucléaire Hôspital du Sacré Coeur Montreal QUE Canada Génie électrique École de Technologie Supérieure Montreal QUE Canada

The theory of projection onto convex sets (POCS) is very useful for comparing iterative reconstruction algorithms. Although originally developed with the Euclidian distance, it has been shown that POCS can be attended to pseudo-distances or can even use a different distance for each convex set. Five well known iterative algorithms that can be used to reconstruct images from partial noisy data have been formulated by POCS. Additional convex constraints and relaxation parameters can thus be introduced in these algorithms.

关键词： Image reconstruction Iterative algorithms Subspace constraints US Department of Transportation reconstruction algorithms Pixel Image converters Equations Iterative methods Constraint optimization

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Performance analysis of the filtered backprojection image reconstruction algorithms

Performance analysis of the filtered backprojection image re...

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： T. Pipatsrisawat A. Gacic F. Franchetti M. Puschel J.M.F. Moura Department of Electrical and Computer Engineering Carnegie Mellon University Pittsburgh USA

We investigate performance tradeoffs for a class of filtered backprojection (FBP) image reconstruction algorithms. The recently developed fast hierarchical backprojection asymptotically achieves the same O(N/sup 2/ log N) cost as Fourier-based methods while retaining many advantages of the FBP technique. In this paper, we provide a detailed cost and performance analysis of the algorithm on a general purpose platform. Based on carefully tuned implementations of both the direct and the hierarchical backprojection, we explore the tradeoffs between distortion and runtime by varying several algorithm and implementation choices. Experimental results show that, given the desired performance, the choice of algorithm parameters is not obvious and largely depends on the image properties and the underlying computer platform.

关键词： Performance analysis Image reconstruction Costs Computed tomography Sensor arrays Runtime Fourier transforms reconstruction algorithms Biomedical imaging Synthetic aperture radar

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Attenuation and scatter correction of list-mode data driven iterative and analytic image reconstruction algorithms for rotating 3D PET systems

Attenuation and scatter correction of list-mode data driven ...

引用

IEEE Symposium on Nuclear Science (NSS/MIC)

作者： A.J. Reader K. Erlandsson R.J. Ott M.A. Flowers Joint Department of Physics Institute of Cancer Research Royal Marsden NHS Foundation Trust Sutton Surrey UK

Image reconstruction directly from list-mode data requires different data correction techniques to standard projection-data based reconstruction, particularly in the case of iterative reconstruction. Attenuation and scatter correction techniques have been developed for two list-mode data driven reconstruction algorithms (FAIR-B (iterative) and Atrax (analytic/iterative)) recently proposed by the authors, and the results compared with two popular projection-data based algorithms (FORE+OSEM (iterative) and FORE+FBP (analytic)). List-mode data driven algorithms require event-by-event correction schemes, or alternatively image space procedures, as no direct operations to the completely sampled projection data set can be practically carried out. The methods developed in this work allow correction of list-mode data driven EM-ML type algorithms, such as FAIR, as well as analytic list-mode algorithms. The correction schemes have been applied to simulated data from various activity and attenuating medium distributions for a rotating 3D PET system. Both list-mode algorithms show improvements over the projection-data based methods in some situations.

关键词： Attenuation Scattering Image analysis Image reconstruction Iterative algorithms Iterative methods Positron emission tomography reconstruction algorithms Algorithm design and analysis Bayesian methods

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