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

共 893 条记录，以下是491-500 订阅

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Cardiac valve annulus manual segmentation using computer assisted visual feedback in three-dimensional image data

Cardiac valve annulus manual segmentation using computer ass...

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

作者： Ramón Casero Rebecca A.B. Burton T. Alexander Quinn Christian Bollensdorff Patrick Hales Jürgen E. Schneider Peter Kohl Vicente Grau Computational Biology Group Computing Laboratory University of Oxford Oxford UK Cardiac Mechano Electric Feedback lab Department of Physiology Anatomy and Genetics University of Oxford Oxford UK Department of Cardiovascular Medicine Wellcome Trust Centre of Human Genetics University of Oxford Oxford UK Institute of Biomedical Engineering Department of Engineering Science University of Oxford Oxford UK

Annulus manual segmentation is an important tool for the study of valve anatomy and physiology, for the four main valves of the heart (mitral, tricuspid, aortic and pulmonary). In this paper we review two traditional manual segmentation approaches: slice-by-slice and interpolating a sparse set of landmarks with a spline curve. We propose a new Spline Tool for the open source software platform Seg3D, that is fast and improves spatial coherence by providing visual feedback of the segmentation in real time. The Spline Tool was tested successfully on 14 rat hearts, on all four valves.

关键词： Image segmentation visualization Valves Biometrics Three dimensional displays Image resolution biomedical imaging

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Medical image fusion for color visualization via 3D RDWT

Medical image fusion for color visualization via 3D RDWT

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

作者： Mario Ciampi Institute of High Performance Computing and Networking National Research Council (ICAR-CNR) Naples Italy Department of Technology University of Naples Parthenope Naples Italy

This paper presents a novel 3D multimodality medical image fusion algorithm based on wavelet multiresolution analysis, a powerful tool able to decompose an image into multiple frequency bands that can be independently analyzed and merged. The focus of this work is to merge 3D medical images coming from several modalities (CT, PET, MRI, etc.), organized as series of 2D image slices, while preserving the salient information. The algorithm aims also at enhancing the visualization of fused images by applying a color to source images. A pre-processing stage using rescaling and resampling filters makes the spatial resolution and the image slice number of the input series equal. Images are i) decomposed by 3D RDWT, ii) combined through appropriate fusion rules based on average, variance and energy, and iii) reconstructed by 3D IRDWT. Experimental results validate the superiority of the proposed 3D technique over other existing algorithms on the basis of subjective and objective criteria.

关键词： biomedical imaging Computed tomography Positron emission tomography Magnetic resonance imaging Image resolution Gray-scale Wavelet analysis

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Online Brain Image Database System for Diagnosis of Subtle Brain Injury

Online Brain Image Database System for Diagnosis of Subtle B...

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The 4th International conference on Bioinformatics and biomedical Engineering(第四届IEEE生物信息与生物医学工程国际会议 iCBBE 2010)

作者： Dheeraj Chahal Lin Li James Z.Wang Carl Lozar Mark A.Eckert School of Computing Clemson University Clemson SC 29634 USA Department of Otolaryngology-Head & Neck Surgery Medical University of South Carolina Charleston SC

Subtle changes in brain tissue that reflect the pathological processes of disorders such as mild cognitive impairment (MCI) are much more difficult to observe on a patient's magnetic resonance imaging (MRI) scan than those obvious abnormalities such as large strokes or tumors. Thus, it is necessary to develop an automated computer-aided diagnosis (CAD) system which will be more efficient and accurate than the manual and quantitative analysis of functional brain images. In this paper, we present an online human brain image database system with its associated image processing, diagnosis and visualization functions for determination of subtle brain injury. The current system provides the capability of MCI diagnosis which accuracy is 94.1% by using the trained support vector machine (SVM)-based classifier.

关键词： Image databases Brain injuries Magnetic resonance imaging Pathological processes Neoplasms Computer aided diagnosis Image analysis Magnetic analysis Humans Image processing

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Comparison of vesselness functions for multiscale analysis of the liver vasculature

Comparison of vesselness functions for multiscale analysis o...

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

作者： Klaus Drechsler Cristina Oyarzun Laura Department of Cognitive Computing & Medical Imaging Fraunhofer Institute of Computer Graphics Research (IGD) Darmstadt Germany

The accurate segmentation of liver vessels is an important step for further computer assisted analysis in oncologic planning tools. Multiscale based vessel enhancement methods are very famous and many papers about this topic were published. Vesselness filters proposed by Sato et al., Frangi et al. and Erdt et al. are based on eigenvalue analysis of the Hessian matrix. They were developed using completely different approaches, namely experimental, geometrical and analytical. In this paper, their behavior at junctions and nearby vessels is systematically compared and evaluated for the enhancement of the liver vasculature. We found that the filter function proposed by Frangi et al. has problems at junctions, while the ones developed by Sato et al and Erdt et al. have problems with nearby vessels. The latter are preferred for the task of liver vessel enhancement.

关键词： biomedical imaging Irrigation Biological system modeling visualization

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Study on Cerebral Vascular Extraction and Three-Dimentional Reconstruction Based on MRI

Study on Cerebral Vascular Extraction and Three-Dimentional ...

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The 2010 IEEE International conference on Progress in Informatics and computing

作者： Fei Gu,Ling Tao Department Of biomedical Engineering Nanjing University of Aeronautics and Astronautics,NUAA Nanjing,China

Information extraction and three-dimensional reconstruction of blood vessel are keystones in visualization of medical ***,an improved Sobel algorithm combined with fuzzy theory is presented,which is used to extract the cerebral information of serial images and can solve the contradiction between preservation of detail information and high de-noising ability ***,an improved ray casting volume rendering algorithm based on fusion segmentations is used to improve the rendering speed with a better rendering *** experiments show that the presented new method can preserve more complete blood vessel 3-D information and obtain good de-noising *** new method can produce better rendering quality and speeds up the volume rendering.

关键词： Cerebral vascular extraction Three-Dimensional reconstruction Sobel algorithm fuzzy theory ray casting rendering

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A non-intrusive multi-sensor system for characterizing driver behavior

A non-intrusive multi-sensor system for characterizing drive...

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International conference on Intelligent Transportation

作者： João G. P. Rodrigues Fausto Vieira Tiago T. V. Vinhoza João Barros João P. Silva Cunha Departamento de Engenharia Electrotécnica e Computadores Faculdade de Engenharia da Universidade do Porto Porto Portugal Department de Electrónica Telecomunicações Informática and IEETA Universidade de Aveiro Aveiro Portugal Dep. de Electrónica Universidade de Aveiro Aveiro Portugal

Understanding driver behavior is critical towards ensuring superior levels of safety and environmental sustainability in intelligent transportation systems. Existing solutions for vital sign extraction are generally intrusive in that they affect the comfort of the driver and may consequently lead to biased observations. Moreover, low-complexity devices such as GPS receivers and the multitude of sensors present in the vehicle are yet to be exploited to the full extent of their capabilities. We present a real-life system that combines wearable non-intrusive heart wave monitors with a wireless enabled computing platform capable of gathering and processing the data streams of multiple in-vehicle sources. Observed variables include electrocardiogram, vehicle location, speed, acceleration, fuel consumption, and pedal position, among others. Preliminary results show that the proposed system is well suited not only for characterizing driver behavior but also for identifying and mapping potentially dangerous road segments and intersections.

关键词： Driver circuits Sensors Data visualization Vehicles Heart rate Roads biomedical monitoring

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3D Scientific Data Mining in Ion Trajectories

3D Scientific Data Mining in Ion Trajectories

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International Workshop on Knowledge Discovery and Data Mining (WKDD)

作者： J.M. Sharif M. Mahadi Abdul Jamil Md. Asri Ngadi M. Shafie Latiff Department of Computer System & Communication Universiti Teknologi Malaysia Malaysia Department of Electronic Engineering Universiti Tun Hussein Onn Malaysia Malaysia

In physics, structure of glass and ion trajectories are essentially based on statistical analysis of data acquired through experimental measurement and computer simulation. Invariably, the details of the structure-transport relationships in the data have been mistreated in favour of ensemble average. In this study, we demonstrate a visual approach of such relationship using surface-based visualisation schemes. In particular, we demonstrate a scientific datasets of simulated 3D time-varying model and examine the temporal correlation among ion trajectories. We propose a scheme that uses a three dimensional visual representation with colour scale for depicting the timeline events in ion trajectories and this scheme could be divided into two major part such as global and local time scale. With a collection of visual examples from this study, we demonstrate that this scheme may offer an effective tool for visually mining 3D timeline events of the ion trajectories. This work will potentially form a basis of a novel analysis tool for measuring the effectiveness of visual representation to assist physicist in identifying possible temporal association among complex and chaotic atom movements in ion trajectories.

关键词： Data mining Atomic measurements Data visualization biomedical imaging Shape Solid modeling Deformable models Physics computing Glass Statistical analysis

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Foveation time measure in Congenital Nystagmus through second order approximation of the slow phases

Foveation time measure in Congenital Nystagmus through secon...

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

作者： Giulio Pasquariello Mario Cesarelli Paolo Bifulco Maria Romano Antonio Fratini Antonio La Gatta DIBET University of Naples Federico II Naples Italy Department of Biomedical Electronic and Telecommunication Engineering (DIBET) University of Naples Federico II Naples Italy

Congenital Nystagmus (CN) is an ocular-motor disorder characterised by involuntary, conjugated ocular oscillations, and its pathogenesis is still unknown. The pathology is defined as “congenital” from the onset time of its arise which could be at birth or in the first months of life. Visual acuity in CN subjects is often diminished due to nystagmus continuous oscillations, mainly on the horizontal plane, which disturb image fixation on the retina. However, during short periods in which eye velocity slows down while the target image is placed onto the fovea (called foveation intervals) the image of a given target can still be stable, allowing a subject to reach a higher visual acuity. In CN subjects, visual acuity is usually assessed both using typical measurement techniques (e.g. Landolt C test) and with eye movement recording in different gaze positions. The offline study of eye movement recordings allows physicians to analyse nystagmus main features such as waveform shape, amplitude and frequency and to compute estimated visual acuity predictors. This analytical functions estimates the best corrected visual acuity using foveation time and foveation position variability, hence a reliable estimation of this two parameters is a fundamental factor in assessing visual acuity. This work aims to enhance the foveation time estimation in CN eye movement recording, computing a second order approximation of the slow phase components of nystag-mus oscillations. About 19 infrared-oculographic eye-movement recordings from 10 CN subjects were acquired and the visual acuity assessed with an acuity predictor was compared to the one measured in primary position. Results suggest that visual acuity measurements based on foveation time estimation obtained from interpolated data are closer to value obtained during Landolt C tests.

关键词： visualization Noise Surges

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visualization of uncertainty and ensemble data: Exploration of climate modeling and weather forecast data with integrated ViSUS-CDAT systems

Visualization of uncertainty and ensemble data: Exploration ...

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5th Annual conference of Scientific Discovery through Advanced computing (SciDAC 2009)

作者： Potter, Kristin Wilson, Andrew Bremer, Peer-Timo Williams, Dean Doutriaux, Charles Pascucci, Valerio Johhson, Chris Univ Utah Sci Comp & Imaging Inst Salt Lake City UT 84112 USA Sandia Natl Labs Livermore CA USA Lawrence Livermore Natl Lab Livermore CA USA

Climate scientists and meteorologists are working towards a better understanding of atmospheric conditions and global climate change. To explore the relationships present in numerical predictions of the atmosphere, ensemble datasets are produced that combine time- and spatially-varying simulations generated using multiple numeric models, sampled input conditions, and perturbed parameters. These data sets mitigate as well as describe the uncertainty present in the data by providing insight into the effects of parameter perturbation, sensitivity to initial conditions, and inconsistencies in model outcomes. As such, massive amounts of data are produced, creating challenges both in data analysis and in visualization. This work presents an approach to understanding ensembles by using a collection of statistical descriptors to summarize the data, and displaying these descriptors using variety of visualization techniques which are familiar to domain experts. The resulting techniques are integrated into the ViSUS/Climate Data and Analysis Tools (CDAT) system designed to provide a directly accessible, complex visualization framework to atmospheric researchers.

关键词： visualization

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AN EFFICIENT OUT-OF-CORE VOLUME RENDERING METHOD BASED ON RAY CASTING AND GPU ACCELERATION

AN EFFICIENT OUT-OF-CORE VOLUME RENDERING METHOD BASED ON RA...

引用

IEEE Youth conference on Information, computing and Telecommunication

作者： Xue, Jian Lue, Ke Tian, Jie Chinese Acad Sci Grad Univ Coll Comp & Commun Engn Beijing 100864 Peoples R China Chinese Acad Sci Inst Automat Key Lab Complex Syst & Intelligence Sci Beijing 100864 Peoples R China

ISBN: (纸本)9781424450756

Volume rendering techniques have been used widely for high quality visualization of 3D data sets, especially in the fields of biomedical image processing. However, when rendering very large (out-of-core) volume data sets, the conventional in-core volume rendering algorithms cannot run efficiently due to the impossibility of fitting the entire input data in the internal memory of a computer. In order to solve this problem, an efficient out-of-core volume rendering method based on volume ray casting and GPU acceleration, with a new out-of-core framework for visualizing large volume data sets, are proposed in this paper. The new framework gives a transparent and efficient access to the volume data set cached in the hard disk, while the new volume rendering method minimize the times of reloading volume data from the hard disk to the internal memory and perform comparatively fast high-quality volume rendering. The experimental results indicate that the new method and framework are effective and efficient for the visualization of out-of-core medical data sets.

关键词： biomedical image processing scientific visualization volume rendering out-of-core algorithms

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