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

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incomplete motion data reconstruction for character animation

Incomplete motion data reconstruction for character animatio...

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IADIS International conference Computer Graphics, Visualization, Computer Vision and image Processing 2009, CGVCVIP 2009. Part of the IADIS Multi conference on Computer Science and Information Systems, MCCSIS 2009

作者： Xiao, Zhidong Nait-Cherif, Hammadi Zhang, Jian J. National Centre for Computer Animation Media School Bournemouth University United Kingdom

ISBN: (纸本)9789728924843

This paper explores the technique that employs Principal Component Analysis (PCA) for motion synthesis and incomplete motion data reconstruction. A low dimensional space of human motion patterns are generated from a large amount motion capture data using PCA. The generated motion pattern is then applied to synthesize different scaled human character animations with a different speed by interpolation and extrapolation from existing motion patterns. According to animators' desire, we also construct incomplete motion data for a long and continuous motion sequences. This technique provides flexibility for animators to efficiently re-use existing motion capture data for character animation. © 2009 IADIS.

关键词： Motion analysis

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Bioluminescence Tomography using Spectral Techniques

Bioluminescence Tomography using Spectral Techniques

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conference on Multimodal Biomedical Imaging iv

作者： Dehghani, Hamid Davis, Scott C. Pogue, Brian W. Univ Exeter Sch Phys Exeter EX4 4QJ Devon England Dartmouth Coll Thayer Sch Engn Hanover NH 03755 USA

ISBN: (纸本)9780819474179

Spectrally-resolved BioLuminescence optical Tomography (BLT) aims to reconstruct tomographic images of Luciferase activity within a volume using spectrally resolved emission data from internal bioluminescence sources. Uniqueness as associated with non-spectrally resolved intensity-based BioLuminescence Tomography is an established drawback and it is also demonstrated that without the use of a non-negative constraint inverse algorithm the solution is inaccurate. Reconstructed images of bioluminescence are presented showing that the location of the internal bioluminescence source can be obtained with 0.5 mm accuracy. The concept of the reciprocity approach for image reconstruction is outlined providing a dramatic improvement in computational time without loss to image accuracy.

关键词： BioLuminescence Tomography Spectral Imaging image reconstruction Molecular Imaging

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Performance-based assessment of reconstructed images

Performance-based assessment of reconstructed images

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conference on Medical Imaging - image Perception, Observer Performance, and Technology Assessment

作者： Hanson, Kenneth M. Los Alamos Natl Lab Los Alamos NM 87545 USA

ISBN: (纸本)9780819475145

During the early 90s, I engaged in a productive and enjoyable collaboration with Robert Wagner and his colleague, Kyle Myers. We explored the ramifications of the principle that the quality of an image should be assessed on the basis of how well it facilitates the performance of appropriate visual tasks. We applied this principle to algorithms used to reconstruct scenes from incomplete and/or noisy projection data. For binary visual tasks, we used both the conventional disk detection and a new challenging task, inspired by the Rayleigh resolution criterion, of deciding whether an object was a blurred version of two dots or a bar. The results of human and machine observer tests were summarized with the detectability index based on the area under the ROC curve. We investigated a variety of reconstruction algorithms, including ART, with and without a nonnegativity constraint, and the MEMSYS3 algorithm. We concluded that the performance of the Raleigh task was optimized when the strength of the prior was near MEMSYS's default "classic" value for both human and machine observers. A notable result was that the most-often-used metric of rms error in the reconstruction was not necessarily indicative of the value of a reconstructed image for the purpose of performing visual tasks.

关键词： tomographic reconstruction assessment of image quality Rayleigh discrimination task ROC analysis human observer machine observer entropic prior ART reconstruction algorithm MEMSYS Robert Wagner

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Influence of TOF information in OpenPET image reconstruction

Influence of TOF information in OpenPET image reconstruction

引用

IEEE Nuclear Science Symposium conference 2009

作者： Yamaya, Taiga Yoshida, Eiji Nishikido, Fumihiko Inadama, Naoko Shibuya, Kengo Murayarna, Hideo Natl Inst Radiol Sci Mol Imaging Ctr Chiba Japan Univ Tokyo Grad Sch Arts & Sci Tokyo Japan

ISBN: (纸本)9781424439614

We have proposed an "OpenPET" geometry, which consists of two axially separated detector rings. The central point of the field of view, where the highest sensitivity is obtained, is opened. The OpenPET mainly has three applications, namely, simultaneous PET/CT, extension of the axial FOV, and in-beam PET. In our previous report, we showed that axial spatial resolution, which is degraded with the extended gap due to the parallax error, can be recovered by use of depth-of-interaction (DOI) detectors. On the other hand, image reconstruction of the OpenPET is an incomplete problem because projection data do not satisfy Orlov's condition. Low-frequency components are missing in oblique LORs, i.e., LORs with large ring differences. The gap would suffer from loss of low-frequency components because the gap, where direct LORs (i.e., LORs in the same ring) do not exist, is imaged only from the oblique LORs. In this paper, we focused on time-of-flight (TOF) information, which is expected to compensate for the loss of low-frequency components in the gap. We investigated influence of TOF information in the OpenPET image reconstruction through numerical simulations. Simulated OpenPET scanner had dual detector rings (827.0 mm in diameter and axial length of 153.6 mm each) separated by a gap of 153.6 mm. We supposed that the detectors had a DOI capability of 8 layers and had a TOF capability of 400 ps FWHM resolution. For the non-TOF case, hot-spot objects, which are commonly seen in cancer diagnosis with use of FDG, were imaged without any artifacts, but objects containing more low-frequency components suffered from strong distortion. However, these artifacts were effectively reduced by using TOF information. These results showed that TOF information can compensate for low-frequency components missing in the gap.

关键词： image reconstruction

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An automatic segmentation and reconstruction of mandibular structures from CT-data

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10th International conference on Intelligent data Engineering and Automated Learning, IDEAL 2009

作者： Barandiaran, Iñigo MacÍa, iván Berckmann, Eva Wald, Diana Dupillier, Michael Pierre Paloc, Céline Graña, Manuel VICOMTech Spain Division of Medical and Biological Informatics German Cancer Research Center Germany Spain

ISBN: (纸本)3642043933

In any medical data analysis a good visualization of specific parts or tissues are fundamental in order to perform accurate diagnosis and treatments. For a better understanding of the data, a segmentation process of the images to isolate the area or region of interest is important to be applied beforehand any visualization step. In this paper we present a method for mandibular structure surface extraction and reconstruction from CT-data images. We tested several methods and algorithms in order to find a fast and feasible approach that could be applicable in clinical procedures, providing practical and efficient tools for mandibular structures analysis. © 2009 Springer Berlin Heidelberg.

关键词： image segmentation

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Two-dimensional region-of-interest reconstruction: Analyzing the difference between virtual fanbeam and DBP-Hilbert reconstructions

Two-dimensional region-of-interest reconstruction: Analyzing...

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IEEE Symposium on Nuclear Science (NSS/MIC)

作者： Rolf Clackdoyle Dilip N. Ghosh Roy Michel Defrise Catherine Mennessier Moctar-Salem Ould Mohamed Department of Radiology University of Utah Salt Lake USA Laboratoire Hubert Curien UMR 5516 CNRS Université Jean Monnet Saint Etienne France Division of Nuclear Medicine Free University of Brussels Brussels Belgium

This work addresses theoretical advances classical (2D) tomographic image reconstruction. During the past several years, inversion formulas have been established that allow ROI reconstruction from incomplete (yet sufficient) data. Such reconstructions have important consequences in certain practical situations, such as truncated projections. The precise relationship between the largest ROI that can be reconstructed and the incompleteness of the sinogram is a complex question which has still not been completely answered in the 2D case. These relationships are inherent to the system and have consequences for iterative/statistical reconstruction methods, because they describe which part of the reconstructed image is determined completely by the data; the other parts of the image will have been more heavily influenced by the regularization method or by the nature of the objective function. Our understanding of the nature of reconstruction from incomplete yet sufficient data relies mainly on formulas obtained from the virtual fanbeam (VFB) method and from the DBP-Hilbert method. The purpose of this work is to provide a structure in which to examine the inherent differences in these two approaches. Using a common reconstruction problem, we reformulate VFB and DBP-Hilbert reconstruction formulas into weight functions that are applied in the sense of an inner product to the sinogram. A common regularization is used for the Hilbert transform in both methods. Unlike the usual Fourier windows used in analytic methods, the regularization we used is applied locally to the singularity to avoid the regularization obscuring the nature of the reconstruction. The weight functions clearly show how truncated projections are being correctly handled. The dissimilarity in the weight functions of the two methods illustrates fundamental differences in managing incomplete data, and suggests that many other such methods exist.

关键词： image reconstruction Channel bank filters Tomography Iterative methods reconstruction algorithms Nuclear and plasma sciences image analysis Radiology Cities and towns Nuclear medicine

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Quantitative Accuracy of SPECT reconstructions with a Voxelized CT-based Partial Volume Effect Correction

Quantitative Accuracy of SPECT Reconstructions with a Voxeli...

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IEEE Nuclear Science Symposium/Medical Imaging conference

作者： Shcherbinin, S. Celler, A. Univ British Columbia Dept Radiol Med Imaging Res Grp Vancouver BC Canada

ISBN: (纸本)9781424427147

For many clinical applications, it is important to know not only the total activity in an organ of interest, but also the details regarding this activity distribution. In this context, the term "quantitation" would refer to the recovery of not only the total activity but also its voxelized concentration. In this paper, we analyze the quantitative accuracy of activity distributions in Tc-99m SPECT/CT images using data from physical phantom experiments. Our acquisitions followed cardiac (Tc-99m-MIBI) and oncology (Tc-99m-MDP) clinical acquisition protocols and were aiming at providing the medical community with information about absolute Tc-99m activity distribution in the myocardium (for the diagnosis of a balanced triple vessel disease) and in tumors (for evaluation of their aggressiveness). Our algorithm includes the following steps: (i) reconstruction of initial images with corrections for attenuation, scattering, and resolution loss;(ii) Creation of a template (numeric phantom) covering not only the investigated region of interest (ROI), but also other active areas. allowing us to simultaneously take into account both spill-in and spill-out effects;(iii) Projection and reconstruction of this template (with the same corrections as for the initial images);(iv) Voxel-by-voxel partial volume effect correction (PVC). After applying all the aforementioned corrections, we recovered total activities inside both heart and tumor models with errors less than similar to 6% for 33ml containers and similar to 9% for 120ml heart insert. PVC substantially improved not only the accuracy of the recovered total activity (up to 40%), but also its distribution inside the ROI. The current version of this PVC technique makes an assumption that the ratios of activity between different compartments are known. Although this assumption may hold in some clinical situations, for example for tumors in areas with low background activity, at the next stage we plan to test the use of the initial

关键词： SPECT quantitation accuracy phantom image reconstruction partial volume effect correction

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MRI reconstruction Based on Inverse Scale Space and Contourlet Thresholding

MRI Reconstruction Based on Inverse Scale Space and Contourl...

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International conference on BioMedical Engineering and Informatics (BMEI)

作者： Wenshu Li Jianhua Luo Qiegen Liu Shenning Hu Department of Biomedical Engineering Shanghai Jiaotong University Shanghai China College of Information and Electronic Zhejiang University of Science and Technology Hangzhou China

ISBN: (纸本)9781424441327

In clinical Magnetic Resonance Imaging (MRI), any reduction in scan time offers a number of potential benefits ranging from high-temporal-rate observation of physiological processes to improvements in patient comfort. In this paper we proposed a reconstruction algorithm by applying contourlet thresholding in inverse scale space flows. We improved the inverse scale space with the noise item in which there is some meaning information and take full advantage of coutourlet transform's characters: perfect reconstruction, noise restraint and good directional selectivity. Several example MRI reconstructions from highly undersampled K-space data are presented for recovery of detailed features from incomplete and inaccurate measurements.

关键词： Magnetic resonance imaging image reconstruction Smoothing methods Biomedical engineering Educational institutions reconstruction algorithms Biomedical measurements Biological tissues Ionizing radiation Time measurement

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Deconvolution of VLBI images based on compressive sensing

Deconvolution of VLBI images based on compressive sensing

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International conference on Electrical Engineering and Informatics, ICEEI

作者： Andriyan Bayu Suksmono School of Electrical Engineering and Informatics Institut Teknologi Bandung Bandung Indonesia

Direct inversion of incomplete visibility samples in VLBI (very large baseline interferometry) radio telescopes produces images with convolutive artifacts. Since proper analysis and interpretations of astronomical radio sources require a non-distorted image, and because filling all of sampling points in the UV-plane is an impossible task, image deconvolution has been one of central issues in the VLBI imaging. Up to now, the most widely used deconvolution algorithms are based on least-squares-optimization and maximum entropy method. In this paper, we propose a new algorithm that is based on an emerging paradigm called compressive sensing (CS). Under the sparsity condition, CS capable to exactly reconstructs a signal or an image, using only a few number of random samples. We show that CS is well-suited with the VLBI imaging problem and demonstrate that the proposed method is capable to reconstruct a simulated image of radio galaxy from its incomplete visibility samples taken from elliptical trajectories in the uv-plane. The effectiveness of the proposed method is also demonstrated with an actual VLBI measured data of 3C459 asymmetric radio-galaxy observed by the VLA (very large array).

关键词： Deconvolution image coding image reconstruction Radio interferometry Radio astronomy image analysis Filling image sampling Entropy Extraterrestrial measurements

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iv-FMC: An automated vision based part modeling and reconstruction system for flexible manufacturing cells

IV-FMC: An automated vision based part modeling and reconstr...

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IEEE International conference on Robotics and Biomimetics

作者： Sokchoo Ng Juraina Mohd. Yusof Muhamad Saufi Mohd. Kassim Khairuddin Abdul Rahman Napsiah Ismail Intelligent System and Robotics Laboratory Universiti Putra Malaysia Selangor Malaysia Department of Mechanical and Manufacturing Engineering Universiti Putra Malaysia Selangor Malaysia Intelligent System and Robotics Laboratory Institute of Advanced Technology Universiti Putra Malaysia Selangor Darul Ehsan Malaysia

The use of computer vision system in manufacturing industry can eliminate the visual faults due to the limitation of human vision and increase productivity. The aim of the current study is to develop an automated vision system (iv-FMC) to reconstruct manufacturing parts in three-dimensional (3D) model. In the designed system, laser stripes are projected onto an object to be scanned. A charge-coupled device (CCD) camera captures the two dimensional (2D) image from the reflected stripes. Based of the principle of optical triangulation, the distance between the object and the camera is calculated in which the third dimension of the image is obtained. These processes iterate each time the object is rotated in different angles, letting the system to capture the whole view of the object being scanned. A 3D model of the object is then reconstructed by merging multiple range images obtained from the range scanning. A PC-based data acquisition board is designed to control the switching of the laser module. The reconstruction process is automated to form a single 3D surface model of the object being scanned.

关键词： Flexible manufacturing systems Manufacturing automation Virtual manufacturing image reconstruction Optical design Laser modes Computer vision Manufacturing industries Humans Productivity

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