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检索条件"任意字段=Conference on Visualization in Biomedical Computing"

共 894 条记录，以下是381-390 订阅

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Toward Standardized Mapping for Left Atrial Analysis and Cardiac Ablation Guidance

Toward Standardized Mapping for Left Atrial Analysis and Car...

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conference on Medical Imaging - Image-Guided Procedures, Robotic Interventions, and Modeling

作者： Rettmann, M. E. Holmes, D. R., III Linte, C. A. Packer, D. L. Robb, R. A. Mayo Clin Biomed Imaging Resource Rochester MN 55905 USA Mayo Clin Div Cardiovasc Dis Rochester MN 55905 USA Rochester Inst Technol Biomed Engn & Ctr Imaging Sci Rochester NY 14623 USA

ISBN: (纸本)9780819498298

In catheter-based cardiac ablation, the pulmonary vein ostia are important landmarks for guiding the ablation procedure, and for this reason, have been the focus of many studies quantifying their size, structure, and variability. Analysis of pulmonary vein structure, however, has been limited by the lack of a standardized reference space for population based studies. Standardized maps are important tools for characterizing anatomic variability across subjects with the goal of separating normal inter-subject variability from abnormal variability associated with disease. In this work, we describe a novel technique for computing flat maps of left atrial anatomy in a standardized space. A flat map of left atrial anatomy is created by casting a single ray through the volume and systematically rotating the camera viewpoint to obtain the entire field of view. The technique is validated by assessing preservation of relative surface areas and distances between the original 3D geometry and the flat map geometry. The proposed methodology is demonstrated on 10 subjects which are subsequently combined to form a probabilistic map of anatomic location for each of the pulmonary vein ostia and the boundary of the left atrial appendage. The probabilistic map demonstrates that the location of the inferior ostia have higher variability than the superior ostia and the variability of the left atrial appendage is similar to the superior pulmonary veins. This technique could also have potential application in mapping electrophysiology data, radio-frequency ablation burns, or treatment planning in cardiac ablation therapy.

关键词： Veins Cameras Image segmentation Ray tracing Associative arrays Atrial fibrillation Electrophysiology Heart visualization Standards development

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A HPC infrastructure for processing and visualizing neuro-anatomical images obtained by Confocal Light Sheet Microscopy

A HPC infrastructure for processing and visualizing neuro-an...

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International conference on High Performance computing & Simulation (HPCS)

作者： Alessandro Bria Giulio Iannello Paolo Soda Hanchuan Peng Giovanni Erbacci Giuseppe Fiameni Giacomo Mariani Roberto Mucci Marco Rorro Francesco Pavone Ludovico Silvestri Paolo Frasconi Roberto Cortini Department of Electrical and Information Engineering University of Cassino and Lazio Meridionale Cassino FR Italy Integrated Research Center University Campus Bio-Medico of Rome Italy Allen Institute for Brain Science Seattle WA USA Janelia Farm Research Campus Howard Hughes Medical Institute Ashburn VA USA SuperComputing Applications and Innovation Department Cineca - Interuniversity Consortium Casalecchio di Reno BO Italy European Laboratory for Non-Linear Spectroscopy (LENS) University of Florence Italy Information Engineering Department University of Florence Italy

ISBN: (纸本)9781479951604

Scientific problems dealing with the processing of large amounts of data require efforts in the integration of proper services and applications to facilitate the research activity, interacting with high performance computing resources. Easier access to these resources have a profound impact on research in neuroscience, leading to advances in the management and processing of neuro-anatomical images. An ever increasing amount of data are constantly collected with a consequent demand of top-class computational resources to process them. In this paper, a HPC infrastructure for the management and the processing of neuro-anatomical images is presented, introducing the effort made to optimize and integrate specific applications in order to fully exploit the available resources.

关键词： Lenses Data visualization Microscopy Image resolution Pipelines Mice biomedical imaging

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Exploratory portals: The need for a new generation

Exploratory portals: The need for a new generation

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International conference on Data Science and Advanced Analytics (DSAA)

作者： Paolo Paolini Nicoletta Di Blas Dept. of Electronics Information and Bioengineering Politecnico di Milano Milan Italy Politecnico di Milano Milano Lombardia IT

This paper proposes a set of requirements for a new generation of exploratory portals, fully exploiting and developing the principles and the aims of Exploratory computing. The first generation of exploratory portals for rich datasets (where objects are classified according to powerful taxonomies) has already provided a way to support effective user experiences, where traditional approaches (like query, search, faceted search, data mining, logical reasoning, data visualizations, . . . ), instead, would only partially satisfy "exploratory" needs. This paper discusses how and why more advanced exploratory features are still needed. A set of requirements is proposed, through examples and formal definitions.

关键词： visualization biomedical engineering Portals Communities Publishing

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A novel wearable biometric capture system

A novel wearable biometric capture system

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Mediterranean conference on Control and Automation (MED)

作者： Carlo Alberto Avizzano Emanuele Ruffaldi Massimo Bergamasco Pizza dei Martiri Scuola Superiore Sant'Anna Pisa Italy

In the present paper we introduce a novel wireless system capable of simultaneously track and monitor the motion of the body and the associated muscular stress. The device provides with an array of four inertial and magnetic measurement units combined with up to 32 independent high sensitivity ADC channels. An embedded computing system does allow the high speed (4 KHz) EMG acquisition and filtering, combined with (100Hz) motion reconstruction and relevant features (20Hz) detection. The device connects to any receiving host using a portable server architecture and an extensible computing system which uses a web interface and a plugin architecture based on shared library. The device has been conceived to monitor body activities in application on-the-go, where the use of wired devices is not suitable and the need for a strict synchronizations among the motion reconstruction and the myo-electric signals is fundamental. In what follows we will describe the general architecture of the system, the embedded algorithms for motion and EMG reconstruction and the software architecture of the host system.

关键词： Servers Electromyography Sensors Data visualization Wireless communication Computer architecture biomedical monitoring

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Rigid image registration using parallel processing

Rigid image registration using parallel processing

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International conference on Circuits, Communication, Control and computing

作者： Sayan Chakraborty Supratim Ghosh Souvik Chatterjee Swati Chowdhuri Ruben Ray Nilanjan Dey Dept. of CSE Bengal College of Engg & Tech Durgapur West Bengal India Dept. of CSE G.C.E.L.T. Kolkata West Bengal India Dept. of ECE Seacom Engineering College Kolkata West Bengal India Dept. of ETCE Jadavpur University Kolkata West Bengal India

Recently image registration has become a major area to work in image processing domain. Image registration is mainly based on transformation theory that refers to transforming one matrix or image with reference to other. Image processing has revolutionized medical image processing. With the help of image registration, different medical images captured by different medical imaging devices are registered, to analyze and post-process the images further. Although the main problem of image registration is its high time complexity. The objective of this paper is to solve the time complexity issue by using multithreading parallel processing technique. Apart from fastening the image processing, this work also analyzed the effects of parallel processing on image registration framework to further discuss the need of parallel processing in this domain. Several statistical methods such as Structural similarity Index, correlation has been used to analyze the registered images along with visualization of registered frames.

关键词： Image registration Parallel processing Instruction sets biomedical imaging Correlation Time complexity

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3D Imaging of Microbial Biofilms: Integration of Synchrotron Imaging and an Interactive visualization Interface

3D Imaging of Microbial Biofilms: Integration of Synchrotron...

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

作者： Mathew Thomas Matthew J. Marshall Erin A. Miller Andrew P. Kuprat Kerstin Kleese-van Dam James P. Carson Pacific Northwest National Laboratory Texas Advanced Computing Center University of Texas

ISBN: (纸本)9781424479276

Understanding the structure of microbial biofilms and other complex microbial communities is now possible through X-ray microtomography imaging. Feature detection and image processing for this type of data focuses on efficiently identifying and segmenting biofilm biomass in the datasets. These datasets are very large and segmentation often requires manual interventions due to low contrast between objects and high noise levels. New software is required for the effectual interpretation and analysis of such data. This work specifies the evolution and ability to analyze and visualize high resolution X-ray microtomography datasets. Major functionalities include read/write with multiple popular file formats, down-sampling large datasets to generate quick-views on low-power computers, image processing, and generating high quality output images and videos. These capabilities have been wrapped into a new interactive software toolkit, BiofilmViewer. A major focus of our work is to facilitate data transfer and to utilize the capabilities of existing powerful visualization and analytical tools including MATLAB, ImageJ, Paraview, Chimera, Vaa3D, Cell Profiler, Icy, BioImageXD, and Drishti.

关键词： biomedical imaging Data visualization Three-dimensional displays MATLAB X-ray imaging

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Power estimates for voxel-based genetic association studies using diffusion imaging

Power estimates for voxel-based genetic association studies ...

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16th International conference on Medical Image computing and Computer Assisted Intervention, MICCAI 2013

作者： Jahanshad, Neda Kochunov, Peter Glahn, David C. Blangero, John Nichols, Thomas E. McMahon, Katie L. De Zubicaray, Greig I. Martin, Nicholas G. Wright, Margaret J. Jack, Clifford R. Bernstein, Matt A. Weiner, Michael W. Toga, Arthur W. Thompson, Paul M. Imaging Genetics Center Institute of Neuroimaging and Informatics Keck School of Medicine USC Los AngelesCA United States Department of Neurology School of Medicine UCLA Los AngelesCA United States Imaging Genetics Center Institute of Neuroimaging and Informatics Keck School of Medicine USC Los AngelesCA United States Maryland Psychiatric Research Center U of Maryland BaltimoreMD United States Olin Neuropsychiatry Research Center Yale School of Medicine New HavenCT United States Department of Genetics Texas Biomedical Research Institute San AntonioTX United States Department of Statistics & Warwick Manufacturing Group U of Warwick Coventry United Kingdom Oxford University Oxford United Kingdom University of Queensland Centre for Advanced Imaging Brisbane Australia University of Queensland School of Psychology Brisbane Australia Queensland Institute of Medical Research Brisbane Australia Department of Radiology Mayo Clinic RochesterMN United States Department of Radiology Medicine and Psychiatry UC San Francisco CA United States Department of Veterans Affairs Medical Center San FranciscoCA United States

The quest to discover genetic variants that affect the human brain will be accelerated by screening brain images from large populations. Even so, the wealth of information in medical images is often reduced to a single numeric summary, such as a regional volume or an average signal, which is then analyzed in a genome wide association study (GWAS). The high cost and penalty formultiple comparisons often constrains us from searching over the entire image space. Here, we developed a method to compute and boost power to detect genetic associations in brain images. We computed voxel-wise heritability estimates for fractional anisotropy in over 1,100 DTI scans, and used the results to threshold FA images from new studies. We describe voxel selection criteria to optimally boost power, as a function of the sample size and allele frequency cut-off. We illustrate our methods by analyzing publicly-available data from the ADNI2 project. © Springer International Publishing Switzerland 2014.

关键词： Genes

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The Social Comfort of Wearable Technology and Gestural Interaction

The Social Comfort of Wearable Technology and Gestural Inter...

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

作者： Lucy E. Dunne Halley Profita Clint Zeagler James Clawson Scott Gilliland Ellen Yi-Luen Do Jim Budd University of Minnesota University of Colorado Georgia Institute of Technology

ISBN: (纸本)9781424479276

The "wearability" of wearable technology addresses the factors that affect the degree of comfort the wearer experiences while wearing a device, including physical, psychological, and social aspects. While the physical and psychological aspects of wearing technology have been investigated since early in the development of the field of wearable computing, the social aspects of wearability have been less fully-explored. As wearable technology becomes increasingly common on the commercial market, social wearability is becoming an ever-more-important variable contributing to the success or failure of new products. Here we present an analysis of social aspects of wearability within the context of the greater understanding of wearability in wearable technology, and focus on selected theoretical frameworks for understanding how wearable products are perceived and evaluated in a social context. Qualitative results from a study of social acceptability of on-body interactions are presented as a case study of social wearability.

关键词： Clothing biomedical monitoring visualization Cognition Wearable computers Usability Performance evaluation

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Assessment of rehabilitation degree in case of stroke by using image analysis of range of motion

Assessment of rehabilitation degree in case of stroke by usi...

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International conference and Exposition on Electrical and Power Engineering (EPE)

作者： Hariton Costin Silviu-Ioan Bejinariu Bogdan Dimitriu Bogdan Anton-Prisăcariu Faculty of Medical Bioengineering Grigore T. Popa University of Medicine and Pharmacy Iaşi Iasi Branch Romanian Academy Iaşi Romania Academia Romana Bucuresti RO Faculty-of Dental Medicine Grigore T. Popa University of Medicine and Pharmacy Iasi Romania

This paper presents an overview of our project for measuring the ROM (range of motion) for upper limb in case of post stroke rehabilitation, that uses a simple and accessible method for any rehabilitation laboratory. The system is comprised of a wheelchair with an artificial upper limb that has a laser light source that is projected on a plexiglass special design table. The table has a modular position thanks to the artificial limb. A small orthotic device with the light source is attached to the extremities of the upper limb. The laser light may be projected on the table, in horizontal or vertical plane, and the position of the light spot may be continuously recorded on a computer. The table helps as a reference system for the ROM assessment and also for computing some special measures (e.g., the value of the maximum movement amplitude). The design of the table is also useful for different exercises necessary for shoulder and upper limb rehabilitation. Using the digital recording and a dedicated image analysis software of the light spot it is possible to compute the capability of movement but also to assess the rehabilitation degree by comparing in time the positive evolution of the rehabilitation program. The device is distinguished by its low price of production, the simplicity but also the precision of the method and the capacity to include a computer rehab user interface.

关键词： Laser beams Tracking Shoulder visualization Image processing biomedical imaging Optical fiber devices

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Patch-based Evaluation of Image Segmentation

Patch-based Evaluation of Image Segmentation

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IEEE conference on Computer Vision and Pattern Recognition

作者： Christian Ledig Wenzhe Shi Wenjia Bai Daniel Rueckert Department of Computing Imperial College London

ISBN: (纸本)9781479951192

The quantification of similarity between image segmentations is a complex yet important task. The ideal similarity measure should be unbiased to segmentations of different volume and complexity, and be able to quantify and visualise segmentation bias. Similarity measures based on overlap, e.g. Dice score, or surface distances, e.g. Hausdorff distance, clearly do not satisfy all of these properties. To address this problem, we introduce Patch-based Evaluation of Image Segmentation (PEIS), a general method to assess segmentation quality. Our method is based on finding patch correspondences and the associated patch displacements, which allow the estimation of segmentation bias. We quantify both the agreement of the segmentation boundary and the conservation of the segmentation shape. We further assess the segmentation complexity within patches to weight the contribution of local segmentation similarity to the global score. We evaluate PEIS on both synthetic data and two medical imaging datasets. On synthetic segmentations of different shapes, we provide evidence that PEIS, in comparison to the Dice score, produces more comparable scores, has increased sensitivity and estimates segmentation bias accurately. On cardiac magnetic resonance (MR) images, we demonstrate that PEIS can evaluate the performance of a segmentation method independent of the size or complexity of the segmentation under consideration. On brain MR images, we compare five different automatic hippocampus segmentation techniques using PEIS. Finally, we visualise the segmentation bias on a selection of the cases.

关键词： Image segmentation Complexity theory Shape biomedical imaging Indexes Optimization visualization

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