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

共 418 条记录，以下是121-130 订阅

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A Generalized Fourier Penalty in Prior-image-Based reconstruction for Cross-Platform Imaging

A Generalized Fourier Penalty in Prior-Image-Based Reconstru...

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conference on Medical Imaging - Physics of Medical Imaging

作者： Pourmorteza, A. Siewerdsen, J. H. Stayman, J. W. NIH Dept Radiol & Imaging Sci Ctr Clin Bldg 10 Bethesda MD 20892 USA Johns Hopkins Univ Dept Biomed Engn Baltimore MD 21218 USA

ISBN: (纸本)9781510600188

Sequential CT studies present an excellent opportunity to apply prior-image-based reconstruction (PIBR) methods that leverage high-fidelity prior imaging studies to improve image quality and/or reduce x-ray exposure in subsequent studies. One major obstacle in using PIBR is that the initial and subsequent studies are often performed on different scanners (e.g. diagnostic CT followed by CBCT for interventional guidance);this results in mismatch in attenuation values due to hardware and software differences. While improved artifact correction techniques can potentially mitigate such differences, the correction is often incomplete. Here, we present an alternate strategy where the PIBR itself is used to mitigate these differences. We define a new penalty for the previously introduced PIBR called reconstruction of Difference (RoD). RoD differs from many other PIBRs in that it reconstructs only changes in the anatomy (vs. reconstructing the current anatomy). Direct regularization of the difference image in RoD provides an opportunity to selectively penalize spatial frequencies of the difference image (e.g. low frequency differences associated with attenuation offsets and shading artifacts) without interfering with the variations in unchanged background image. We leverage this flexibility and introduce a novel regularization strategy using a generalized Fourier penalty within the RoD framework and develop the modified reconstruction algorithm. We evaluate the performance of the new approach in both simulation studies and in physical CBCT test-bench data. We find that generalized Fourier penalty can be highly effective in reducing low-frequency x-ray artifacts through selective suppression of spatial frequencies in the reconstructed difference image.

关键词： X-ray computed tomography Signal attenuation Tumors X-rays Spatial frequencies X-ray imaging data corrections image quality reconstruction algorithms Diagnostics Cones image guided radiation therapy Scanners

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image-based Airborne LiDAR Point Cloud Encoding for 3D Building Model Retrieval 23

Image-based Airborne LiDAR Point Cloud Encoding for 3D Build...

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23rd Congress of the International-Society-for-Photogrammetry-and-Remote-Sensing (ISPRS)

作者： Chen, Yi-Chen Lin, Chao-Hung Natl Cheng Kung Univ Dept Geomat Tainan 701 Taiwan

With the development of Web 2.0 and cyber city modeling, an increasing number of 3D models have been available on web-based model-sharing platforms with many applications such as navigation, urban planning, and virtual reality. Based on the concept of data reuse, a 3D model retrieval system is proposed to retrieve building models similar to a user-specified query. The basic idea behind this system is to reuse these existing 3D building models instead of reconstruction from point clouds. To efficiently retrieve models, the models in databases are compactly encoded by using a shape descriptor generally. However, most of the geometric descriptors in related works are applied to polygonal models. In this study, the input query of the model retrieval system is a point cloud acquired by Light Detection and Ranging (LiDAR) systems because of the efficient scene scanning and spatial information collection. Using Point clouds with sparse, noisy, and incomplete sampling as input queries is more difficult than that by using 3D models. Because that the building roof is more informative than other parts in the airborne LiDAR point cloud, an image-based approach is proposed to encode both point clouds from input queries and 3D models in databases. The main goal of data encoding is that the models in the database and input point clouds can be consistently encoded. Firstly, top-view depth images of buildings are generated to represent the geometry surface of a building roof. Secondly, geometric features are extracted from depth images based on height, edge and plane of building. Finally, descriptors can be extracted by spatial histograms and used in 3D model retrieval system. For data retrieval, the models are retrieved by matching the encoding coefficients of point clouds and building models. In experiments, a database including about 900,000 3D models collected from the Internet is used for evaluation of data retrieval. The results of the proposed method show a clear superiority

关键词： Point Cloud Encoding Spatial Histogram 3D Model Retrieval Cyber City Modeling

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7th Pacific-Rim Symposium on image and Video Technology, PSIVT 2015

7th Pacific-Rim Symposium on Image and Video Technology, PSI...

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7th Pacific-Rim Symposium on image and Video Technology, PSIVT 2015

ISBN: (纸本)9783319302843

The proceedings contain 29 papers. The special focus in this conference is on 2D and 3D Geometric Properties from incomplete data and Vision Meets Graphics. The topics include: Optimal knots selection for sparse reduced data;moving cast shadow detection using joint color and texture features with neighboring information;measuring convexity via convex polygons;iris segmentation using geodesic active contours and grabcut;robust segmentation of aerial image data recorded for landscape ecology studies;integrated parallel 2D-leap-frog algorithm for noisy three image photometric stereo;heuristic assessment of parameters of the local ground approximation from terrestrial LIDAR data;a parallel implementation for computing the region-adjacency-tree of a segmentation of a 2D digital image;two plane volumetric display for simultaneous independent images at multiple depths;analysis on coupled line cameras using projective geometry;real-time image based lighting for 360-degree panoramic video;enhancing automated defect detection in collagen based manufacturing by employing a smart machine vision technique;computer vision technology for vehicular robot to follow guided track using neuro-fuzzy system;automatic matting using depth and adaptive trimap;an approach for filling in missing information of 3D roadside reconstruction;attribute based affordance detection from human-object interaction images;hardware acceleration of SVM-based classifier for melanoma images;automatic pose estimation using contour information from x-ray images and recent progress in in-flight radiometric calibration and validation of the rapideye constellation of 5 multispectral remote sensing satellites.

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ISAR reconstruction from incomplete data using total variation optimization

ISAR reconstruction from incomplete data using total variati...

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Mediterranean conference on Embedded Computing (MECO)

作者： Andjela Draganić Irena Orović Srdjan Stanković Xiumei Li Faculty of Electrical Engineering University of Montenegro Podgorica Montenegro Hangzhou Normal University Hangzhou China

ISBN: (纸本)9781509022236

Sparsity of the ISAR images is exploited with the aim to use the possibility of applying an under-sampling strategy as assumed by the compressive sensing approach. The signal sparsity is a desirable property that needs to be satisfied in order to reconstruct the signals and images from the compressive sensed data. It is assumed that certain amount of radar data is not available and the idea is to reconstruct the radar image from the rest of the data. The signal samples are observed in the spatial domain, and the reconstruction is based on the total variation minimization. The procedure is tested on both, synthetic and real ISAR image, showing satisfactory reconstruction quality with a small set of acquired samples.

关键词： image reconstruction Radar imaging Compressed sensing Optimization Imaging image resolution

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A phase space approach to imaging from limited data 8

A phase space approach to imaging from limited data

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conference on image reconstruction from incomplete data viii

作者： Testorf, Markus E. Dartmouth Coll Thayer Sch Engn Hanover NH 03755 USA Dartmouth Coll Geisel Sch Med Hanover NH 03755 USA

ISBN: (纸本)9781628417661

The optical instrument function is used as the basis to develop optical system theory for imaging applications. The detection of optical signals is conveniently described as the overlap integral of the Wigner distribution functions of instrument and optical signal. Based on this framework various optical imaging systems, including plenoptic cameras, phase-retrieval algorithms, and Shack-Hartman sensors are shown to acquire information about a domain in phase-space, with finite extension and finite resolution. It is demonstrated how phase space optics can be used both to analyze imaging systems, as well as for designing methods for image reconstruction.

关键词： Wigner distribution function phase-space optics signal recovery optical imaging phase retrieval wavefront sensing instrument function

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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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MR image reconstruction from data acquired on an irregular k-space trajectory

MR image reconstruction from data acquired on an irregular k...

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IEEE International conference on Electronics and Nanotechnology (ELNANO)

作者： V. S. Gavrilyuk A. V. Netreba S. P. Radchenko Faculty of Radiophysics Taras Shevchenko National University of Kyiv Kyiv Ukraine

The reconstruction for the magnetic resonance imaging under condition of using irregular measured signal data array for reconstructing of the spine density spatial distribution are offered. For experimentally measured data using a Fourier-Zymography in Magnetic Resonance Imaging techniques simulated the received signal and realised the reverse reconstruction of tomograms. The evaluation of the quality of tomograms with incomplete signal data set has been carried out.

关键词： Magnetic resonance imaging image reconstruction Magnetic fields Trajectory conferences Nanotechnology

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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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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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