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

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Coregistered volumetric true 3D ultrasonography in image-guided neurosurgery

Coregistered volumetric true 3D ultrasonography in image-gui...

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Medical Imaging 2008 conference

作者： Ji, Songbai Hartov, Alex Fontaine, Kathryn Borsic, Andrea Roberts, David Paulsen, Keith Dartmouth Coll Thayer Sch Engn Hanover NH 03755 USA Norris Cotton Ctr Lebanon NH 03756 USA Hitchcock Med Ctr Dept Neurosurg Lebanon NH 03756 USA

ISBN: (纸本)9780819471024

Intraoperative ultrasound (iUS) has emerged as a practical neuronavigational tool in image-guided open cranial procedures because of its low cost, easy implementation and real time image acquisition. Two-dimensional iUS (2DiUS) is currently the most common ultrasonic imaging tool used in the operating room (OR). However, gaps between imaging planes and limited volumetric sampling with 2DiUS often result in incomplete imaging of the internal anatomical structures of interest (e.g., tumor). In this paper, we investigate and evaluate the use of coregistered volumetric true three-dimensional iUS (3DiUS) generated from a broadband matrix array transducer (X3-1) attached to a Phillips iU22 intelligent ultrasound system. This 3DiUS scheme is able to provide full 3D sampling over a frustum-shaped volume with high resolution dicom images directly recovered by the ultrasound system without the need for free-hand sweeps or 3D reconstruction. volumetric 3DiUS images were co-registered with preoperative magnetic resonance (pMR) images by tracking the spatial location and orientation of an infrared light-emitting tracker rigidly attached to the US scan-head following a fiducial registration and an iUS scan-head calibration. The registration was further refined using an image-based scheme to maximize the inter-image normalized mutual information. In addition, we have utilized a coordinate system nomenclature and developed a set of static visualization techniques to present 3D US image data in the OR, which will be important for qualitative and quantitative analyses of the performance of 3DiUS in image-guided neurosurgery in the future. We show that 3DiUS significantly improves the imaging efficiency and enhances integration of iUS into the surgical workflow, making it appear to be promising for routine use in the OR.

关键词： ultrasound guidance multimodality display data integration for the clinic/OR intraoperative imaging

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Comparison of genetic-algorithm and emissivity-ratio analyses of image data from OMEGA implosion cores

Comparison of genetic-algorithm and emissivity-ratio analyse...

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17th Topical conference on High-Temperature Plasma Diagnostics

作者： Nagayama, T. Mancini, R. C. Florido, R. Tommasini, R. Koch, J. A. Delettrez, J. A. Regan, S. P. Smalyuk, v. A. Welser-Sherrill, L. A. Golovkin, I. E. Univ Nevada Dept Phys Reno NV 89557 USA Lawrence Livermore Natl Lab Livermore CA 94550 USA Univ Rochester Laser Energet Lab Rochester NY 14623 USA Los Alamos Natl Lab Los Alamos NM 87545 USA Prism Computat Sci Madison WI 53711 USA

Detailed analysis of x-ray narrow-band images from argon-doped deuterium-filled inertial confinement fusion implosion experiments yields information about the temperature spatial structure in the core at the collapse of the implosion. We discuss the analysis of direct-drive implosion experiments at OMEGA, in which multiple narrow-band images were recorded with a multimonochromatic x-ray imaging instrument. The temperature spatial structure is investigated by using the sensitivity of the Ly beta/He beta line emissivity ratio to the temperature. Three analysis methods that consider the argon He beta and Ly beta image data are discussed and the results compared. The methods are based on a ratio of image intensities, ratio of Abel-inverted emissivities, and a search and reconstruction technique driven by a Pareto genetic algorithm.

关键词： explosions genetic algorithms laser fusion plasma diagnostics plasma temperature

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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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Robust super-resolution by minimizing a Gaussian-weighted L2 error norm

Robust super-resolution by minimizing a Gaussian-weighted L2...

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4th Applied Inverse Problems International conference, AIP 2007 and the 1st Congress of the Inverse Problems International Association, IPIA 2007

作者： Pham, T.Q. vliet, L.J.v. Schutte, K. Canon Information Systems Research Australia 1 Thomas Holt drive North Ryde NSW 2113 Australia Department of Imaging Science and Technology Faculty of Applied Sciences Delft University of Technology Lorentzweg 1 2628 CJ Delft Netherlands Electro-Optics Group TNO Defence Security and Safety P. O. Box 96864 2509 JG The Hague Netherlands

Super-resolution restoration is the problem of restoring a high-resolution scene from multiple degraded low-resolution images under motion. Due to imaging blur and noise, this problem is ill-posed. Additional constraints such as smoothness of the solution via regularization is often required to obtain a stable solution. While adding a regularization term to the cost function is a standard practice in image restoration, we propose a restoration algorithm that does not require this extra regularization term. The robustness of the algorithm is achieved by a Gaussian-weighted L2-norm in the data misfit term that does not response to intensity outliers. With the outliers suppressed, our solution behaves similarly to a maximum-likelihood solution in the presence of Gaussian noise. The effectiveness of our algorithm is demonstrated with super-resolution restoration of real infrared image sequences under severe aliasing and intensity outliers. © 2008 IOP Publishing Ltd.

关键词： image reconstruction

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Aspects of binary image reconstruction from Fourier amplitude data

Aspects of binary image reconstruction from Fourier amplitud...

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International conference on image and vision Computing New Zealand, IvCNZ

作者： v. L. Lo R. P. Millane Computational Imaging Group Department of Electrical and Computer Engineering University of Canterbury Christchurch New Zealand

The reconstruction of a binary image from undersampled Fourier amplitude data is considered. Binary, connectivity, and compactness constraints are discussed and shown to be sufficient to enforce a unique solution. An ... 详细信息

关键词： image reconstruction Proteins X-ray diffraction Crystallography X-ray imaging Extraterrestrial measurements Electrons Iterative algorithms Crystallization Interference

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Acquisition of image information from highly incomplete data

Acquisition of image information from highly incomplete data

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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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Recent advances in 3-D fluorescence microscopy:: Tomography a source of information's

Recent advances in 3-D fluorescence microscopy:: Tomography ...

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8th International conference on Correlation Optics

作者： Dieterlen, A. Debailleul, M. De Meyer, A. Simon, B. Georges, v. Colicchio, B. Haeberle, O. Lauer, v. Lab MIPS Univ Haute Alsace 61 Rue Albert Camus F-68093 Mulhouse France Lauer Microscopie F-68093 Mulhouse France

ISBN: (纸本)9780819472182

3-D optical fluorescent microscopy becomes now an efficient tool for volume investigation of living biological samples. Developments in instrumentation have permit to beat off the conventional Abbe limit, in any case the recorded image can be described by the convolution equation between the original object and the Point Spread Function (PSF) of the acquisition system. If the goal is 3-D quantitative analysis, whether you improve the instrument capabilities, or (and) you restore the data. These last is until now the main task in our laboratory. Based on the knowledge of the optical Transfer Function of the microscope, deconvolution algorithms were adapted to automatic determine the regularisation threshold in order to give less subjective and more reproducible results. The PSF represents the properties of the image acquisition system;we have proposed the use of statistical tools and Zernike moments to describe a 3-D system PSF and to quantify the variation of the PSF. This first step toward standardization is helpful to define an acquisition protocol optimizing exploitation of the microscope depending on the studied biological sample. We have pointed out that automating the choice of the regularization level;if it facilitates the use, it also greatly improves the reliability of the measurements. Furthermore, to increase the quality and the repeatability of quantitative measurements a pre-filtering of images improves the stability of deconvolution process. In the same way, the PSF pre-filtering stabilizes the deconvolution process. We have shown that Zernike polynomials can be used to reconstruct experimental PSF, preserving system characteristics and removing the noise contained in the PSF. Fluorescent microscopes suffer from limitations;photobleaching and phototoxicity effects, or influence of the sample optical properties to 3-D observation. Amplitude and phase of the object can be reached with optical tomography based on a combination of microholography with a to

关键词： 3-D optical microscopy Point Spread Function Zernike deconvolution diffraction tomography image reconstruction

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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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