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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161-170 订阅

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An image reconstruction Model and Hybrid Algorithm for Limited-angle Projection data

An Image Reconstruction Model and Hybrid Algorithm for Limit...

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IEEE International conference on Bioinformatics and Biomedicine - Medical Informatics and Decision Making

作者： Gao Hongxia Luo Yinghao Chen Kewei Ma Ge Wu Lixuan S China Univ Technol Sch Automat Sci & Engn Guangzhou 510641 Guangdong Peoples R China S China Univ Technol Minist Educ Engn Res Ctr Precis Elect Mfg Equipment Guangzhou 510641 Guangdong Peoples R China

ISBN: (纸本)9781467367981

More and more applications in industrial or medical CT have to adopt limited-angle projection data, such as restricted scanning, decreasing radiation dose and so on. Traditional reconstruction methods for incomplete projection data, including analytic reconstruction and iterative reconstruction, can't meet the demand of limited-angle reconstruction. To deal with TV reconstruction model's imbalance in reconstructing image information of different direction, this paper proposes a reconstruction model and its corresponding hybrid algorithm, which utilize horizontal direction gradient to assist TV reconstruction in vertical direction. Experiments results demonstrate the proposed method's effectiveness and performance in image reconstruction from limited-angle projection data.

关键词： image reconstruction limited-angle projection data hybrid algorithm

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Characterizing heterogeneity among virus particles by stochastic 3-D signal reconstruction 8

Characterizing heterogeneity among virus particles by stocha...

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conference on image reconstruction from incomplete data VIII

作者： Xu, Nan Gong, Yunye Wang, Qiu Zheng, Yili Doerschuk, Peter C. Cornell Univ Elect & Comp Engn Ithaca NY 14850 USA Univ Calif Berkeley Lawrence Berkeley Natl Lab Berkeley CA 94720 USA Cornell Univ Meinig Sch Biomed Engn Ithaca NY USA

ISBN: (纸本)9781628417661

In single-particle cryo electron microscopy, many electron microscope images each of a single instance of a biological particle such as a virus or a ribosome are measured and the 3-D electron scattering intensity of the particle is reconstructed by computation. Because each instance of the particle is imaged separately, it should be possible to characterize the heterogeneity of the different instances of the particle as well as a nominal reconstruction of the particle. In this paper, such an algorithm is described and demonstrated on the bacteriophage Hong Kong 97. The algorithm is a statistical maximum likelihood estimator computed by an expectation maximization algorithm implemented in Mat lab software.

关键词： 3-D image reconstruction statistical image processing maximum likelihood estimation expectation maximization algorithm structural biology virus Hong Kong 97

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Restoration of defocused images using quasi-point sources which are detected with coherent light 8

Restoration of defocused images using quasi-point sources wh...

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conference on image reconstruction from incomplete data VIII

作者： Ortiz-Sosa, R. Berriel-Valdos, L. R. Felix Aguilar, J. INAOE Sta Ma Tonantzintla 72840 Pue Mexico

ISBN: (纸本)9781628417661

In this work, the concept of quasi-point source (qps) is used for the restoration of defocused images of extended objects detected with incoherent light. The method consists of the characterization of the optical system by a qps illuminated with coherent light, its defocused image is then introduced in the restoration process, which is a deconvolution performed with a Wiener filter. The results of the restored images are shown and compared with those images restored when the qps is illuminated with incoherent light. Finally, a numerical evaluation using the RMSD (root mean square deviation method) about the quality of the restoration was made for both cases.

关键词： defocused images image restoration quasi-point source microscopy deconvolution

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FPGA acceleration by asynchronous parallelization for simultaneous image reconstruction and segmentation based on the Mumford-Shah regularization 8

FPGA acceleration by asynchronous parallelization for simult...

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conference on image reconstruction from incomplete data VIII

作者： Zhang, Wentai Luo, Guojie Shen, Li Page, Thomas Li, Peng Jiang, Ming Maass, Peter Cong, Jason Peking Univ Beijing Peoples R China PKU UCLA Joint Res Inst Sci & Engn Los Angeles CA USA NUDT Collaborat Innovat Ctr High Performance Comp Changsha Hunan Peoples R China Univ Bremen D-28359 Bremen Germany Univ Calif Los Angeles Los Angeles CA USA

ISBN: (纸本)9781628417661

X-ray computed tomography (CT) is an important technique for noninvasive clinical diagnosis and nondestructive testing. In many applications a number of image processing steps are needed before the image features are available. One of these processing steps is image segmentation, which generates the edge and the structural features of the regions of interest. The conventional flow is to first reconstruct images and then apply image segmentation methods on reconstructed images. In contrast, an emerging technique obtains the tomographic image and segmentation simultaneously, which is especially useful in the case of limited data. An iterative method for simultaneous reconstruction and segmentation (SRS) with Mumford-Shah model has been proposed, which not only regularizes the ill-posed tomographic reconstruction problem, but also produces the image segmentation at the same time. The Mumford-Shah model is both mathematically and computationally chanllenging. In this paper, we propose an asynchronous ray-parallel algorithm of the SRS method and accelerate it using field-programmable gate array (FPGA) devices, which drastically improves the energy efficiency. Experimental results show that the FPGA implementation achieves a 1.2x speedup with an energy efficiency as great as 58x, over the GPU implementation.

关键词： image reconstruction image segmentation Mumford-Shah regularization gamma-convergence asynchronous parallelization FPGA acceleration hardware pipelining

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Phase retrieval for multiple objects 8

Phase retrieval for multiple objects

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conference on image reconstruction from incomplete data VIII

作者： Millane, Rick P. Arnal, Romain D. Chen, Joe P. J. Univ Canterbury Dept Elect & Comp Engn Computat Imaging Grp Christchurch 1 New Zealand Arizona State Univ Dept Phys Tempe AZ 85287 USA

ISBN: (纸本)9781628417661

The problem of reconstructing multiple objects from the average of their diffracted intensities is considered. Three cases of technical interest are studied. The first is where the incoherent average is measured over a single object that adopts a number of positions described by a symmetry group. The second is where the average is over a small number of distinct objects. The third is where the average is over a set of unit cells that can occur in an ensemble of nanocrystals as a result of different edge terminations. As a result of some redundancy in the multi-dimensional phase problem, a unique solution can be obtained for these problems under some circumstances. Uniqueness is characterised using the constraint ratio. Iterative projection algorithms can be adapted to accommodate these cases and example simulated reconstructions are presented.

关键词： Phase retrieval image reconstruction techniques computational imaging nanocrystallography

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On Compressed Sensing image reconstruction using Multichannel Fusion and Adaptive Filtering 5

On Compressed Sensing Image Reconstruction using Multichanne...

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International conference on image Processing Theory Tools and Applications

作者： Islam, Sheikh Rafiul Maity, Santi P. Ray, Ajoy Kumar Neotia Inst Technol Management & Sci 24 Pgs S Amira 743368 WB India Indian Inst Engn Sci & Tech Howrah 711103 WB India

ISBN: (纸本)9781479986378

Compressed sensing (CS) in imaging is essential in many practical situations and does need suitable algorithm for reconstruction from this highly incomplete observations/measurements. Measurements are also noisy in majority of the cases. This paper addresses CS-reconstruction of images from multiple channel data acquisition with under sampling measurements. An adaptive filtering based stochastic approximation through a recursive system is explored to reconstruct images from CS-multichannel noisy measurements using fusion technique. A simple weighted averaging is done in fusion process where the weights are calculated based on estimation of noise level. A spatial domain adaptive Wiener filter is then used to diminish the noise and reveals new features from the degraded observations. Experimental results show that the proposed multichannel fusion based CS reconstruction scheme outperforms individual channels both in subjective and objective quality measures.

关键词： Compressed sensing multichannel CS-fusion image fusion adaptive filtering image reconstruction

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Portability of TV-Regularized reconstruction Parameters to Varying data Sets

Portability of TV-Regularized Reconstruction Parameters to V...

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conference on image Processing for Medicine (BVM)

作者： Amrehn, Mario Maier, Andreas Dennerlein, Frank Hornegger, Joachim FAU Erlangen Nurnberg Pattern Recognit Lab Erlangen Germany Erlangen Grad Sch Adv Opt Technol SAOT Erlangen Germany

ISBN: (纸本)9783662462249;9783662462232

In C-arm computed tomography there are certain constraints due to the data acquisition process which can cause limited raw data. The reconstructed image's quality may significantly decrease depending on these constraints. To compensate for severely under-sampled projection data during reconstruction, special algorithms have to be utilized, more robust to such ill-posed problems. In the past few years it has been shown that reconstruction algorithms based on the theory of compressed sensing are able to handle incomplete data sets quite well. In this paper, the iterative iTV reconstruction method by Ludwig Ritschl et al. is analyzed regarding it's elimination capabilities of image artifacts caused by incomplete raw data with respect to the settings of it's various parameters. The evaluation of iTV and the data dependency of iterative reconstruction's parameters is conducted in two stages. First, projection data with severe angular under-sampling is acquired using an analytical phantom. Proper reconstruction parameters are selected by analyzing the reconstruction results from a set of proposed parameters. In a second step multiple phantom data sets are acquired with limited angle geometry and a small number of projections. The iTV reconstructions of these data sets are compared to short-scan FDK and SART reconstruction results, highlighting the distinct data dependence of the iTV reconstruction parameters.

关键词： Phantoms

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image reconstruction in serial femtosecond nanocrystallography using x-ray free-electron lasers 8

Image reconstruction in serial femtosecond nanocrystallograp...

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conference on image reconstruction from incomplete data VIII

作者： Chen, Joe P. J. Kirian, Richard A. Beyerlein, Kenneth R. Bean, Richard J. Morgan, Andrew J. Yefanov, Oleksandr M. Arnal, Romain D. Wojtas, David H. Bones, Phil J. Chapman, Henry N. Spence, John C. H. Millane, Rick P. Univ Canterbury Dept Elect & Comp Engn Computat Imaging Grp Christchurch 1 New Zealand Arizona State Univ Dept Phys Tempe AZ 85287 USA DESY Ctr Free Electron Laser Sci D-22607 Hamburg Germany European XFEL GmbH D-22761 Hamburg Germany Univ Hamburg D-22761 Hamburg Germany

ISBN: (纸本)9781628417661

Serial femtosecond nanocrystallography (SFX) is a form of x-ray coherent diffraction imaging that utilises a stream of tiny nanocrystals of the biological assembly under study, in contrast to the larger crystals used in conventional x-ray crystallography using conventional x-ray synchrotron x-ray sources. Nanocrystallography utilises the extremely brief and intense x-ray pulses that are obtained from an x-ray free-electron laser (XFEL). A key advantage is that some biological macromolecules, such as membrane proteins for example, do not easily form large crystals, but spontaneously form nanocrystals. There is therefore an opportunity for structure determination for biological molecules that are inaccessible using conventional x-ray crystallography. Nanocrystallography introduces a number of interesting image reconstruction problems. Weak diffraction patterns are recorded from hundreds of thousands of nancocrystals in unknown orientations, and these data have to be assembled and merged into a 3D intensity dataset. The diffracted intensities can also be affected by the surface structure of the crystals that can contain incomplete unit cells. Furthermore, the small crystal size means that there is potentially access to diffraction information between the crystalline Bragg peaks. With this information, phase retrieval is possible without resorting to the collection of additional experimental data as is necessary in conventional protein crystallography. We report recent work on the diffraction characteristics of nanocrystals and the resulting reconstruction algorithms.

关键词： x-ray crystallography x-ray free-electron laser nanocrystal serial femtosecond nanocrystallography phase retrieval

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Inter-trial alignment of EEG data and phase-locking 8

Inter-trial alignment of EEG data and phase-locking

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conference on image reconstruction from incomplete data VIII

作者： Testorf, M. E. Horak, P. Connolly, A. Holmes, G. L. Jobst, B. C. Dartmouth Coll Thayer Sch Engn Hanover NH 03755 USA Dartmouth Coll Geisel Sch Med Hanover NH 03755 USA Dartmouth Hitchcock Med Ctr Dept Neurol Lebanon NH 03766 USA Univ Vermont Coll Med Burlington VT USA

ISBN: (纸本)9781628417661

Neuro-scientific studies are often aimed at imaging brain activity, which is time-locked to external stimuli. This provides the possibility to use statistical methods to extract even weak signal components, which occur with each stimulus. For electroencephalographic recordings this concept is limited by inevitable time jitter, which cannot be controlled in all cases. Our study is based on a cross-correlation analysis of trials to alignment trials based on the recorded data. This is demonstrated both with simulated signals and with clinical EEG data, which were recorded intracranially. Special attention is given to the evaluation of the time-frequency resolved phase-locking across multiple trails.

关键词： Electroencephalogram working memory joint time-frequency transform short time Fourier transform wavelet analysis cross-correlation phase-locking

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Projection Classification Based Iterative Algorithm 3

Projection Classification Based Iterative Algorithm

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3rd International conference on Manufacturing, Optimization, Industrial and Material Engineering (MOIME)

作者： Zhang, Ruiqiu Li, Chen Gao, Wenhua S China Univ Technol Sch Design Guangzhou 510640 Guangdong Peoples R China S China Univ Technol Sch Math Guangzhou 510640 Guangdong Peoples R China

Iterative algorithm has good performance as it does not need complete projection data in 3D image reconstruction area. It is possible to be applied in BGA based solder joints inspection but with low convergence speed which usually acts with x-ray Laminography that has a worse reconstruction image compared to the former one. This paper explores to apply one projection classification based method which tries to separate the object to three parts, i.e. solute, solution and air, and suppose that the reconstruction speed decrease from solution to two other parts on both side lineally. And then SART and CAV algorithms are improved under the proposed idea. Simulation experiment result with incomplete projection images indicates the fast convergence speed of the improved iterative algorithms and the effectiveness of the proposed method. Less the projection images, more the superiority is also founded.

关键词： image reconstruction

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