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

共 623 条记录，以下是411-420 订阅

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Cone-beam artifact reduction using second pass radon space filling

Cone-beam artifact reduction using second pass radon space f...

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IEEE Symposium on Nuclear Science (NSS/MIC)

作者： Klaus Erhard Philips Research Europe Hamburg Germany

Volume reconstruction from incomplete cone-beam data is prone to artifacts because of the insufficient amount of measured data. A second pass method is proposed which reduces these artifacts by extrapolating the measured data in order to simulate complete cone-beam data. To this end a first pass reconstruction is segmented and forward projected into a virtual geometry satisfying Tuy’s completeness condition. The resulting simulated data is then reconstructed together with the measured data using an exact cone-beam reconstruction algorithm. Numerical examples are given for both measured data of a physical head phantom and for simulated data using the Forbild head phantom.

关键词： Filling image reconstruction Head Imaging phantoms Geometry image segmentation Bones reconstruction algorithms Tomography Biological tissues

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Convex ultrasound image reconstruction with log-Euclidean priors

Convex ultrasound image reconstruction with log-Euclidean pr...

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

作者： Jose Seabra Joao Xavier Joao Sanches Instituto Superior Técnico Systems and Robotics Institute Lisboa Portugal

image reconstruction from noisy and incomplete observations is usually an ill-posed problem. A Bayesian framework may be adopted do deal with this such inverse task by well posing the reconstruction problem. In this approach, the ill poseness nature of the reconstruction is removed by minimizing a two-term energy function. The first term pushes the solution toward the data and the second regularizes the solution.

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Realtime Visualization of Monocular data for 3D reconstruction

Realtime Visualization of Monocular Data for 3D Reconstructi...

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Canadian conference on Computer and Robot Vision, CRV

作者： Adam Rachmielowski Neil Birkbeck Martin Jägersand Dana Cobzas University of Alberta Canada

Methods for reconstructing photorealistic 3D graphics models from images or video are appealing applications of computer vision. Such methods rely on good input image data, but the lack of user feedback during image acquisition often leads to incomplete or poorly sampled reconstruction results. We describe a video-based system that constructs and visualizes a coarse graphics model in real-time and automatically saves a set of images appropriate for later offline dense reconstruction. Visualization of the model during image acquisition allows the operator to interactively verify that an adequate set of input images has been collected for the modeling task, while automatic image selection keeps storage requirements to a minimum. Our implementation uses real-time monocular SLAM to compute and continuously keep extending a 3D model, augments this with keyframe selection for storage, surface modelling, and on-line rendering of the current structure textured from a selection of key-frames. This rendering gives an immediate and intuitive view of both the geometry and if suitable viewpoints of texture images have already been captured.

关键词： data visualization image reconstruction Computer graphics image storage Rendering (computer graphics) Application software Computer vision Feedback Real time systems Storage automation

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Acquisition of image information from highly incomplete data

Acquisition of image information from highly incomplete data

引用

IEEE EMBS International conference on Information Technology Applications in Biomedicine (ITAB)

作者： Xiao-Chuan Pan University of Chicago Chicago IL US

Modern tomographic imaging techniques such as computed tomography (CT) and magnetic resonance imaging (MRI) have been used widely for non-invasively acquiring information within the subjects under study. In the last few years, there have been significant advances in tomographic imaging methods. In this presentation, author will discuss some of the recent algorithm developments for obtaining tomographic images of practical utility from data that are considered otherwise highly incomplete from the perspective of the conventional imaging theory. Emphasis will be placed on discussion of some newly developed ideas and algorithms for effective image reconstruction from highly sparse data in CT and MRI. These advances may allow opportunities for devising innovative tomographic imaging applications of highly significant practical merit in biomedical, industrial, security, and other fields. Various examples involving real, challenging CT and MRI imaging data will be used to illustrate and validate these new developments.

关键词： Biomedical imaging Physics Magnetic resonance imaging Computed tomography Radiology Cancer Information technology Biomedical engineering Web and internet services Diabetes

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K-space and image space combination for motion artifact correction in multicoil multishot diffusion weighted imaging

K-space and image space combination for motion artifact corr...

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

作者： Anh T. Van Dimitrios C. Karampinos John G. Georgiadis Bradley P. Sutton Electrical and Computer Engineering Department University of Illinois Urbana-Champaign Urbana IL USA Department of Mechanical Science and Engineering and the Beckman Institute University of Illinois Urbana-Champaign IL USA Bioengineering Department the Electrical Engineering Department and the Beckman Institute University of Illinois Urbana IL USA

Motion during diffusion encodings leads to phase errors in different shots of a multishot acquisition. Phase differences in k-space data among shots result in phase cancellation artifacts in the reconstructed image. Due to aliasing of the phase from under-sampled regions of the shot, correction of the phase error using direct low-resolution phase subtraction is incomplete. We introduce a new k-space and image-space combination (KICT) method for motion artifacts cancellation that avoids incomplete phase error correction. Further, the method preserves the phase of the object, which is important for parallel imaging applications.

关键词： image reconstruction Motion artifacts Imaging Trajectory image resolution image coding Encoding

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An evaluation of missing data compensation methods for a PET camera by comparing to no-gap data

An evaluation of missing data compensation methods for a PET...

引用

IEEE Symposium on Nuclear Science (NSS/MIC)

作者： Hossain Baghaei Hongdi Li Yuxuan Zhang Rocio A. Ramirez Shitao Liu Chao Wang Shaohui An Wai-Hoi Wong University of Texas M.D. Anderson Cancer Center Houston TX USA

We evaluated three methods for filling gaps in PET projection data that may results from gaps between detectors or from defective detectors. These methods include linear interpolation, constraint Fourier space, and forward projection of the images reconstructed from incomplete data iteratively. We compared reconstructed images from the gap-filled data to the images reconstructed from data without gaps acquired by rotating camera gantry during data acquisition. We collected data for a 20-cm flood phantom and the Hoffman brain phantom using the HOTPET camera that has a spatial resolution of about 3 mm. HOTPET Camera has the capability to be rotated during data acquisition and in standard operation it is rotated to fill the gaps in sinograms. images reconstructed from data without gantry rotation and without missing data compensation were dominated by artifacts. Filling the gaps with even the simple and fast linear interpolation resulted in images with significantly less artifacts; however, it was less effective than the other two methods. images from gap-filled data by the other two methods were artifact free but image quality was slightly degraded. Filling the gaps with forward projection of the iterative reconstructed images produced the best results; however, it was the slowest method.

关键词： Positron emission tomography Cameras image reconstruction Filling Detectors Interpolation data acquisition Imaging phantoms Floods Spatial resolution

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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 Symposium on Nuclear Science (NSS/MIC)

作者： S. Shcherbinin A. Celler Medical Imaging Research Group Department of Radiology University of British Columbia Vancouver BC Canada

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 99m Tc SPECT/CT images using data from physical phantom experiments. Our acquisitions followed cardiac ( 99m Tc-MIBI) and oncology ( 99m Tc-MDP) clinical acquisition protocols and were aiming at providing the medical community with information about absolute 99m Tc 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 ∼6% for 33ml containers and ∼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 image recons

关键词： image reconstruction Neoplasms Imaging phantoms Heart image analysis Computed tomography Oncology Protocols Biomedical imaging Medical diagnostic imaging

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Hybrid scene reconstruction by integrating scan data and stereo image pairs

Hybrid scene reconstruction by integrating scan data and ste...

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6th International conference on 3-D Digital Imaging and Modeling

作者： Ma, Xiangyin Zha, Hongbin Peking Univ State Key Lab Machine Percept Beijing 100871 Peoples R China

ISBN: (纸本)9780769529394

3D geometric models obtained by using laser scanners are often incomplete due to the equipment limitations. In this paper we propose a novel hybrid reconstruction algorithm, which integrates stereo image pairs to overcome these limitations. This work focuses on a category of scenes that can be approximated by planes (such as manmade scenes). The scan data are first segmented into planar patches, many of which may be incomplete. Stereo image pairs are then incorporated to retrieve the missing data. Specifically, we decide each plane's extension in the image domain via segment-based stereo matching with disparity layers extracted from scan data. Then, points in the missing area are interpolated by calculating ray-plane intersections. All procedures are automatic except for the range to image registration. The validity of our approach is demonstrated by experiments on real data.

关键词： Stereo image processing

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Convolution-based interpolation kernels for reconstruction of high resolution EMR images from low sampled k-space data

Convolution-based interpolation kernels for reconstruction o...

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7th International conference on Computational Intelligence and Multimedia Applications

作者： Balasubramanian, D. Krishna, Murali C. Murugesan, R. AGP Coll Sivakasi India Natl Canc Inst Bethesda MD USA MK Univ Madurai Tamil Nadu India

ISBN: (纸本)0769530508

Electron magnetic resonance imaging (EMRI) is an emerging non-invasive imaging technology for mapping free radicals in biological systems. Unlike MRI, it is implemented as a pure phase-phase encoding technique. The fast bio-clearance of the imaging agent and the requirement to reduce radio frequency power deposition dictate collection of reduced k-space samples, compromising the quality and resolution of the EMR images. The present work evaluates various interpolation kernels to generate larger k-space samples for image reconstruction, from the acquired reduced k-space samples. Using k-space EMR data sets, acquired for phantom as well as live mice the proposed technique is critically evaluated by computing quality metrics viz. signal-to-noise ratio (SNR), standard deviation (STD), root mean square error (RMSE), peak signal to noise ratio (PSNR), contrast to noise ratio (CNR) and Lui's error fucntion (F(I)). The quantitative evaluation of 24 different interpolation functions (including piecewise polynomial functions and many windowed sine functions) to upsample the k-space data for Fourier EMR image reconstruction shows that at the expense of a slight increase in computing time, the reconstructed images from upsampled data, produced using Spline-sinc, Welch-sinc and Gaussian-sinc kernels are closer to reference image with lesser distortion.

关键词： image reconstruction

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Post-processing by total variation quasi-solution method for image interpolation

Post-processing by total variation quasi-solution method for...

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17th International conference on Computer Graphics and Vision, GraphiCon 2007

作者： Nasonov, Andrey Krylov, Andrey S. Lukin, Alexey Moscow State University Moscow Russia

image restoration is one of classical inverse problems in image processing and computer vision, which consists of the recovering information about the original image from incomplete or degraded data. In this paper, we consider the problem of reduction of ringing that appears after image resampling. We introduce a novel method for image restoration, based on a quasi-solution method for a compact set of functions with bounded total variation. It is an alternative approach to using a total variation functional as a stabilizer in Tikhonov regularization, and it does not oversmooth or displace edges.

关键词： image reconstruction

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