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3D visualization of cardiac tagged magnetic resonance image data using Non-Uniform Rational B-Splines (NURBS) 10

3D visualization of cardiac tagged magnetic resonance image ...

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proceedings of the seventh Indian conference on computer Vision, graphics and Image Processing

作者： Ramenahalli, Sudarshan Denney Jr., Thomas S. Electrical and Computer Engineering Johns Hopkins University Baltimore MD United States Electrical and Computer Engineering Auburn University Auburn AL United States

ISBN: (纸本)9781450300605

The paper demonstrates accurate, anatomically correct 3D visualization of left and right ventricles of the human heart from tagged magnetic resonance imaging data. Tagged MRI reveals 3D structural and motion information that is incorporated into the visualized models. We use Non-Uniform Rational B-Splines (NURBS) for our purpose, that allow non-uniform knot specification and weight specification of control points, an advantage over traditional uniform B-Splines. NURBS algorithms are numerically stable and fast. The myocardial models serve the purpose of (i) accurate visualization of tag planes and myocardial walls, (ii)checking tag tracking accuracy and registration errors, (iii)providing framework for 4D visualization and motion analysis, and (iv)obtaining accurate, memory efficient and compactly supported models of the heart in anatomical dimensions. We obtain excellent results on normal as well as pathological patient datasets. © 2010 ACM.

关键词： Magnetic resonance imaging

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Segmentation of crystalline lens in photorefraction video 10

Segmentation of crystalline lens in photorefraction video

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proceedings of the seventh Indian conference on computer Vision, graphics and Image Processing

作者： Wendt, Mark Shah, Shishir K. Quantitative Imaging Laboratory University of Houston Dept. of Computer Science Houston TX United States

ISBN: (纸本)9781450300605

With an increase in the percentage of people over the age of 65 years or older, there is a growing interest in finding ways to slow or reverse some of the effects of aging on the human body. One of these effects is the loss in the ability of the human eye to visually focus on near objects. Understanding the properties of the natural lens and the associated mechanisms of accommodation will greatly increase our knowledge to identify alternate solutions to reverse this phenomenon. Towards that end, a technique called photorefraction is currently being used in laboratory studies involving monkeys. To quantitate the lens properties, there is a need to accurately measure monkey lenses in images produced by this technique. In this paper, we present two probabilistic methods for segmenting the lens from photorefraction video sequences. Results of the developed methods are compared and evaluated against ground-truth segmentations. In addition, the results obtained are also compared to those obtained by a level set segmentation method. © 2010 ACM.

关键词： Numerical methods

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Decision fusion for urine particle classification in multispectral images 10

Decision fusion for urine particle classification in multisp...

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proceedings of the seventh Indian conference on computer Vision, graphics and Image Processing

作者： Hans, Charu Merchant, Fatima A. Shah, Shishir K. Quantitative Imaging Laboratory University of Houston Dept. of Computer Science Houston TX United States University of Houston Dept. of Engineering Technology Houston TX United States

ISBN: (纸本)9781450300605

The microscopic analysis of the urinary sediment is important in making diagnoses for a variety of diseases, including urinary tract infection, urinary tract tumors, occult glomerulonephritis, and interstitial nephritis. A typical automated system acquires images of urinary sediment by employing a CCD camera, and then detects and recognizes the distinct particles automatically from these images. Automated recognition of these particles represents a significant challenge due to poor image resolution, strong variability of particle shape and size, and challenges associated with detection of particles in the presence of noisy backgrounds. In this paper, we present a novel method for urine particle classification based on the use of local descriptors coupled with regression based decision fusion. Specifically, DAISY descriptors have been used to capture the textural characteristics of each particle and subjected to dimensionality reduction across three linear subspaces to increase the diversity in decision making along with lowering the "curse of dimensionality". Classification in each subspace is based on computing a similarity score, which is then fused through support vector regression to obtain a final classification. The approach is applied to both brightfield and multispectral data to ascertain the benefits of multispectral imaging for urine analysis. Urine particles analyzed included crystals, casts and blood cells, and the results obtained show an average classification accuracy of 92.6% for 6 classes of urinary particles. © 2010 ACM.

关键词： CCD cameras

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Cell volume estimation from a sparse collection of noisy confocal image slices 10

Cell volume estimation from a sparse collection of noisy con...

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proceedings of the seventh Indian conference on computer Vision, graphics and Image Processing

作者： Chakraborty, Anirban Liu, Min Mkrtchyan, Katya Reddy, G. Venugopala Roy-Chowdhury, Amit Department of Electrical Engineering University of California Riverside Riverside CA 92521 United States Department of Computer Science and Engineering University of California Riverside Riverside CA 92521 United States Department of Botany and Plant Sciences University of California Riverside Riverside CA 92521 United States

ISBN: (纸本)9781450300605

Measurement and quantification of the volume of cells are very useful for analyzing and understanding cellular behavior, such as cell growth and differentiation. One popular practice is to use Confocal Laser Scanning Microscopy(CLSM) to image cell slices and then reconstruct the 3-D volume of the cells from these serial optical slices. However, all of the current methods of volume estimation using CLSM imaging require large number of cell slices (i.e. high volume of image data). But in many practical situations, especially in case of CLSM based live cell imaging, such high depth resolution is not feasible in order to avoid photodynamic damage to cells from prolonged exposure to laser. In this work, we have addressed this problem of finding out the volume of a plant cell using CLSM when the amount of data is as limited as two to three slices per cell. We assume an ellipsoid model for a cell and estimate the minimum volume ellipsoid that encloses all three cell slices in the 3D stack. The level set based segmentation often tends to produce cell slice areas less than the actual due to poor signal to noise ratio in images and that is the reason why we choose a Minimum Volume Enclosing Ellipsoid over mean or best-fit ellipsoids. We tested the proposed computational method on time-lapse CLSM images of Shoot Apical Meristem (SAM) cells of model plant Arabidopsis Thaliana. The volume estimates of individual cells are reasonably close to what is expected from biological point of view. © 2010 ACM.

关键词： Cells

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Cardiac Motion Estimation from Intracardiac Electrical Mapping Data: Identifying a Septal Flash in Heart Failure

Cardiac Motion Estimation from Intracardiac Electrical Mappi...

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5th international conference on Functional imaging and Modeling of the Heart

作者： Camara, Oscar Oeltze, Steffen De Craene, Mathieu Sebastian, Rafael Silva, Etel Tamborero, David Mont, Lluis Sitges, Marta Bijnens, Bart H. Frangi, Alejandro F. UPF Ctr Computat Imaging & Simulat Technol Biomed CIS Barcelona Spain Otto Von Guericke Univ Inst Simulat & Graphics Magdeburg Germany Univ Barcelona Hospital Clinic Thorax Clinic Ins Cardiology Dept E-08007 Barcelona Spain ICREA Barcelona Spain

ISBN: (纸本)9783642019319

In this paper;we present a methodology to estimate cardiac motion directly from the high resolution temporal data provided by an intra-cavity electrical mapping system (CARTO). These data consist in intracardiac electrical measurements, obtained invasively through the contact of a catheter with the endocardial wall at different locations, with simultaneous recording of the position of the measuring catheter over tine. The 3D displacement fields between the different timepoints obtained from the position measurements are projected onto the vector pointing from the CARTO points to the centroid of the CARTO cloud, giving a very intuitive vectorial coarse representation of the diastolic and systolic motion. Furthermore, scalar projection ID curves can be used to identify specific motion patterns. We have applied the proposed methodology to the CARTO acquisitions of nine candidates to cardiac resynchronization therapy, identifying tire specific sequence of motion and deformation (septal flash) found in LBBB, which was confirmed by visual inspection of the corresponding MR and 3D-US images.

关键词： Electrical mapping CARTO septal flash cardiac motion left bundle branch block cardiac resynchronization therapy

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proceedings of the 10th iasted international conference on computer graphics and imaging, CGIM 2008

Proceedings of the 10th IASTED International Conference on C...

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10th iasted international conference on computer graphics and imaging, CGIM 2008

ISBN: (纸本)9780889867192

The proceedings contain 50 papers. The topics discussed include: fast full search algorithm using adaptive search order;mesh cutting for aided 3D digital model setup and planning;an introduced blocked-wavelet algorithm for signal and time improvements of images with multiple regions;interactive circuit diagram visualization;a proposal modification of the 3OT chain code;accuracy of GPU-based B-spline evaluation;the simulation of cloth using accurate physical parameters;comparison of two real-time image processing system approaches;camera control for remote transcription system;a solution to the next best view problem based on D-spheres for 3D object recognition;fast multiple reference frame selection algorithm in H.264/AVC;and video super-resolution by integrating SAD and NCC matching criterion for multiple moving objects.

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Robust affine-invariant similarity measures for patterned triangles

Robust affine-invariant similarity measures for patterned tr...

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10th iasted international conference on computer graphics and imaging, CGIM 2008

作者： Revesz, Peter Department of Computer Science and Engineering University of Nebraska-Lincoln Lincoln NE 68588 United States Department of Informatics and Telecommunications University of Athens Ilissia 15874 Athens Greece

A robust image similarity measure is presented for patterned triangles. A novel feature of the new similarity measure is the reduction of the patterns to a simple set of affineinvariant bar-codes.

ISBN: (纸本)9780889867192

A robust image similarity measure is presented for patterned triangles. A novel feature of the new similarity measure is the reduction of the patterns to a simple set of affineinvariant bar-codes.

关键词： Image retrieval

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Combining invariance, robustness, and stability in computer vision

Combining invariance, robustness, and stability in computer ...

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10th iasted international conference on computer graphics and imaging, CGIM 2008

作者： Kovalerchuk, Boris Dept. of Computer Science Central Washington University Ellensburg WA 98926 United States

ISBN: (纸本)9780889867192

This paper analyzes the theoretical foundations of the invariant, robust, and stable methods in computer vision applications. Some studies had shown that many known invariants used in pattern recognition algorithms are not robust to small changes in images and robust parameters of these algorithms are not invariant. We provide a conceptual framework for new studies on invariance, robustness, and stability of computer vision algorithms critical for applications. Based on this theoretical analysis new invariant, robust and stable methods suited for the complexity of computer vision tasks, can be designed.

关键词： computer vision

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Skeleton-based surface construction from unorganized curves

Skeleton-based surface construction from unorganized curves

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10th iasted international conference on computer graphics and imaging, CGIM 2008

作者： Xu, Zitao Schrack, Günther Landmark Graphics Co. Houston TX 77042 United States Electrical and Computer Engineering University of British Columbia Vancouver BC V6T 1Z4 Canada

ISBN: (纸本)9780889867192

This paper presents a novel method to construct a surface by interpolating and/or approximating a set of unorganized sparse three-dimensional curves. No assumptions are made regarding topological relations among the curves, except that typically they do not touch each other. The proposed method first builds a topology among the given curves then uses it to construct the surface geometry. Applications include modeling, fast prototyping, and the definition of curves for the construction of surfaces.

关键词： Topology

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Interactive circuit diagram visualization

Interactive circuit diagram visualization

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10th iasted international conference on computer graphics and imaging, CGIM 2008

作者： Eschbach, Thomas Becker, Bernd Institute for Computer Science Albert-Ludwigs-University Freiburg Germany

ISBN: (纸本)9780889867192

Automated visualization of circuits is an important research area in electronic design automation. In contrast to the numerous papers and work done on graph and hypergraph drawing on equal size nodes, this paper presents a framework to efficiently cope with nodes that are orders of magnitudes different in size. To improve the clarity of the drawing a crossing reduction step and a fast routing heuristic are applied which try to avoid unnecessary crossings and bends within the wiring. Experimental results are provided which show that the run time remains small enough to drive an interactive tool even on very large circuit benchmarks.

关键词： Visualization

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