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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691-700 订阅

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Compression-based ray casting of very large volume data in distributed environments

Compression-based ray casting of very large volume data in d...

引用

International conference on High Performance computing in the Asia-Pacific Region

作者： C. Bajaj Insung Ihm Sanghun Park Dongsub Song Department of Computer Sciences University of Texas Austin USA Department of Computer Science Sogang University

The paper proposes a novel parallel/distributed ray casting scheme for very large volume data that can be effectively used in distributed environments. Our method, based on data compression, attempts to enhance the rendering speedups by quickly reconstructing voxel data from local memory rather than expensively fetching them from remote memory spaces. Our compression based volume rendering scheme minimizes communications between processing elements during rendering computation, hence it is very appropriate for both distributed memory multiprocessors and PC/workstation clusters, where the relatively high communication costs often hinder efficient parallel/distributed processing. We report experimental results on both a Cray T3E and a PC/workstation cluster for the Visible Man dataset.

关键词： Casting Data visualization Distributed computing Workstations biomedical imaging Humans Data compression Space technology Rendering (computer graphics) Computer science

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Interactive segmentation of biomedical images and volumes using connected operators

Interactive segmentation of biomedical images and volumes us...

引用

IEEE International conference on Image Processing

作者： S. Benini E. Boniotti R. Leonardi A. Signoroni Signals and Communication Laboratory DEA Brescia University Brescia Italy

Presents a new method able to convey more meaningful images to the clinician. To reach this goal a new approach to medical interactive segmentation issue is proposed. First an automatic simplification process is performed on the volume, relying on connected operator methods. Afterwards a set of descriptors of the region of interest (RoI) is acquired by means of a 2D interactive session by the clinician. These descriptors, reflecting a real diagnostic interest, work like selective criteria during the subsequent morphological segmentation process done on the whole volume. They allow one to extract the desired structures avoiding a strong interaction by the user. Finally a 3D visualization of the segmented volume of interest (VoI) is obtained, and interactive tools allow the user to adjust and improve the results until satisfaction.

关键词： Image segmentation biomedical imaging Medical diagnostic imaging Partitioning algorithms Computed tomography Magnetic resonance imaging Image analysis biomedical computing Medical treatment Signal to noise ratio

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3D digital cleansing using segmentation rays

3D digital cleansing using segmentation rays

引用

IEEE conference on visualization

作者： S. Lakare Ming Wan M. Sato A. Kaufman Center for Visual Computing CVC and Department of Computer Science State University of New York Stony Brook Stony Brook NY USA

We propose a novel approach for segmentation and digital cleansing of endoscopic organs. Our method can be used for a variety of segmentation needs with little or no modification. It aims at fulfilling the dual and often conflicting requirements of a fast and accurate segmentation and also eliminates the undesirable partial volume effect which contemporary approaches cannot. For segmentation and digital cleansing, we use the peculiar characteristics exhibited by the intersection of any two distinct-intensity regions. To detect these intersections we cast rays through the volume, which we call the segmentation rays as they assist in the segmentation. We then associate a certain task of reconstruction and classification with each intersection the ray detects. We further use volumetric contrast enhancement to reconstruct surface lost by segmentation (if any), which aids in improving the quality of the volume rendering.

关键词： Colon Virtual colonoscopy Colonic polyps biomedical optical imaging Computer science Surface reconstruction Endoscopes Humans Cancer detection Optical materials

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Extracting regions of interest applying a local watershed transformation

Extracting regions of interest applying a local watershed tr...

引用

IEEE conference on visualization

作者： S.L. Stoev W. Strasser WSI/GRIS University of Tübingen Tubingen Germany

We present a new technique for extracting regions of interest (ROI) applying a local watershed transformation. The proposed strategy for computing catchment basins in a given region of interest is based on a rain-falling simulation. Unlike the standard watershed algorithms, which flood the complete (gradient magnitude of an) image, the proposed approach allows us to perform this task locally. Thus, a controlled region growth is performed, saving time and reducing the memory requirement especially when applied on volume data. A second problem arising from the standard watershed transformation is the over-segmented result and the lack of sound criteria for merging the computed basins. For overcoming this drawback, we present a basin-merging strategy introducing four criteria for merging adjacent basins. The threshold values applied in this strategy are derived from the user input and match rather the attributes of the selected object than of all objects in the image. In doing so, the user is not required to adjust abstract numbers, but to simply select a coarse region of interest. Moreover, the proposed algorithm is not limited to the 2D case. As we show in this work, it is suitable for volume data processing as well. Finally, we present the results of applying the proposed approach on several example images and volume data sets.

关键词： Image segmentation Floods Image processing Computer vision Pixel Computational modeling Merging biomedical imaging Data visualization Gray-scale

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A system for three dimensional representation of confocal microscope images

A system for three dimensional representation of confocal mi...

引用

International conference on Microtechnologies in Medicine and Biology

作者： D. Wertheim D. Pearce N. Forraz R. Pettengell C. McGuckin School of Computing and Information Systems Kingston University Surrey UK Department of Haematology St. Georges Hospital Medical School King George Laboratory London UK School of Life Sciences Kingston University London Surrey UK

Antigenic markers on blood cells can be detected using laser scanning confocal microscopy imaging of fluorescence antibody labelling. The confocal microscopy images provide a series of 2D images. It can be difficult to interpret the data from the 2D images since the continuity of the labels may not be easy to assess. The authors have developed a computer system to provide a 3D representation of laser scanning confocal microscopy data on a Personal Computer. They have applied the system to test images and data from confocal microscopy imaging studies of antigenic markers on blood cells. Application of the system to test image data provided appropriate representation. When applied to the blood cell images, the system permitted examination of the distribution of antigenic labels from different views. Thus this system may be of value in further understanding confocal imaging data.

关键词： Microscopy Cells (biology) Blood Fluorescence Labeling visualization biomedical imaging Microcomputers System testing Lattices

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Free energy periodicity in ***

引用

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

作者： D.I. Rosnick D.L. Bitzer M.A. Vouk E.E. May Department of Computer Science North Carolina State University Raleigh NC USA

It has been seen that sequences upstream from coding regions tend to possess significant complementarity to the exposed part of the 16S rRNA in ***. While upstream binding between the Shine-Dalgarno sequence and the mRNA may be a necessary condition for translation, it appears to be insufficient. By computing the free energy binding within the coding sequence, it is suggested that the 16S has a continuing role through elongation of translation as well.

关键词： Sequences DNA computing Computer science Genomics Bioinformatics Databases Sun Data analysis Data visualization Signal analysis

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Authoring and viewing video documents using an SGML structure

Authoring and viewing video documents using an SGML structur...

引用

IEEE International conference on Multimedia computing and Systems (ICMCS)

作者： A. Chakraborty P. Liu L. Hsu Multimedia/Video Technology Department Siemens AG Corporate Research and Development Germany

In recent years, videos have become immensely popular. They are being generated at an enormous rate everyday. To be able to use this information in a meaningful way in conjunction with all the other media types, i.e. text, images, audio, etc., it is important to segment and structure the video and to create appropriate links between objects in different sections of a video and pertinent information in other media forms. This enables the users to view relevant information from a video sequence regarding a particular object within the context of a much larger multimedia document. We describe a novel system for structuring video based on their content and creating and navigating links between objects of interest in the video and related information elsewhere.

关键词： SGML Multimedia systems Navigation Web pages Combustion Image segmentation Video sequences Data mining Data visualization biomedical imaging

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Mixing translucent polygons with volumes

Mixing translucent polygons with volumes

引用

IEEE conference on visualization

作者： K.A. Kreeger A.E. Kaufman Center for Visual Computing and Department of Computer Science State University of New York Stony Brook NY USA

ISBN: (纸本)078035897X

We present an algorithm which renders opaque and/or translucent polygons embedded within volumetric data. The processing occurs such that all objects are composited in the correct order, by rendering thin slabs of the translucent polygons between volume slices using slice-order volume rendering. We implemented our algorithm with OpenGL on current general-purpose graphics systems. We discuss our system implementation, speed and image quality, as well as the renderings of several mixed scenes.

关键词： biomedical imaging Blood vessels Layout Rendering (computer graphics) Surges Prosthetics Computer science Humans Head Magnetic resonance imaging

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Data analysis, visualization, and hidden factor discovery by unsupervised learning

Data analysis, visualization, and hidden factor discovery by...

引用

International Joint conference on Neural Networks (IJCNN)

作者： E. Oja K. Kiviluoto Laboratory of Computer and Information Science Helsinki University of Technology Finland

With the continuous increase in computing power, it has become possible to process and classify masses of natural data, such as statistical information, images, speech, as well as other kinds of signals and measurements coming from very different sources. Many problems occur in industry, finance, remote sensing, medicine, and natural sciences, to mention only a few main fields, in which one needs efficient tools for visualization, prediction, clustering, and profiling. Often the explicit modelling of the processes underlying the measurements is very hard and so inferences from the measurement data must be made by learning methods. A widely used class of learning algorithms are the neural learning paradigms. In this paper, emphasis is on unsupervised neural learning. Especially the techniques of self-organizing maps and independent component analysis are reviewed and shown to be useful in this context. Some examples are shown on applications of these techniques on financial data analysis.

关键词： Data analysis Data visualization Speech processing Signal processing Power measurement Finance Remote sensing biomedical imaging Learning systems Clustering algorithms

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Multimodal brain images registration with severe pathological information missing

Multimodal brain images registration with severe pathologica...

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

作者： S. Cormier N. Boujemaa F. Tranquart L. Pourcelot LI/E3I-Universite de Tours Tours France INSERM-Unite3 16 Tours France INRIA-Racquencourt Le Chesnay France

Clinicians regularly use several modalities to visualize different aspects of an explored organ. Indeed, recent medical imaging progresses allow complementary information often provided by anatomical and functional modalities to be combined. So, a preliminary image registration is required. In this paper, we present a registration method of multimodal brain MRI and SPECT images of a single patient. The constraint is that no external landmark are available. Therefore, we focus on seeking anatomical invariant brain properties. Hence, we explain our method based on fuzzy image segmentation and a principal axis computing on brain orientation considered as an invariant feature. We deal also with pathological cases presenting missing information in this context. An extension of our method based on a possibilistic shell fitting technique is then developed for brain missing information cases.

关键词： Brain Image registration Pathology Image segmentation Magnetic resonance imaging Fuzzy systems biomedical imaging Clustering algorithms Image edge detection visualization

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