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检索条件"任意字段=3rd International Conference on Medical Image Computing and Computer-Assisted Intervention"

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STATISTICAL INTENSITY CORRECTION AND SEGMENTATION OF MRI DATA

STATISTICAL INTENSITY CORRECTION AND SEGMENTATION OF MRI DAT...

引用

3rd conference on Visualization in Biomedical computing 1994 (VBC 94)

作者： WELLS, WM GRIMSON, WEL KIKINIS, R JOLESZ, FA HARVARD UNIV SCH MEDBOSTONMA 02115

ISBN: (纸本)0819416983

Many applications of MRI are facilitated by segmenting the volume spanned by the imagery into the various tissue types that are present. Intensity-based classification of MR images has proven to be problematic, even when advanced techniques such as non- parametric multi-channel methods are used. A persistent difficulty has been accommodating the spatial intensity inhomogeneities that are due to the equipment. This paper describes a statistical method that uses knowledge of tissue properties and intensity inhomogeneities to correct for these intensity inhomogeneities. Use of the Expectation-Maximization algorithm leads to a method (EM segmentation) for simultaneously estimating tissue class and the correcting gain field. The algorithm iterates two components to convergence: tissue classification, and gain field estimation. The result is a powerful new technique for segmenting and correcting MR images. An implementation of the method is discussed, and results are reported for segmentation of white matter and gray matter in gradient-echo and spin-echo images. Examples are shown for axial, coronal and sagittal (surface coil) images. For a given type of acquisition, intensity variations across patients, scans, and equipment have been accommodated without manual intervention in the segmentation. In this sense, the method is fully automatic for segmenting healthy brain tissue. An accuracy assessment was made in which the method was compared to manual segmentation, and to a method based on supervised multi-variate classification, in segmenting white matter and gray matter. The method was found to be consistent with manual segmentation, and closer to manual segmentation than the supervised method.

关键词： image segmentation Tissues Expectation maximization algorithms Magnetic resonance imaging Brain Linear filtering Neuroimaging Data modeling image classification Statistical analysis

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THE WRAPPER - A SURFACE OPTIMIZATION ALGORITHM THAT PRESERVES HIGHLY CURVED AREAS

THE WRAPPER - A SURFACE OPTIMIZATION ALGORITHM THAT PRESERVE...

引用

3rd conference on Visualization in Biomedical computing 1994 (VBC 94)

作者： GUEZIEC, A DEAN, D NYU MED CTR INST RECONSTRUCT PLAST SURGNEW YORKNY 10016

ISBN: (纸本)0819416983

Software to construct polygonal models of anatomical structures embedded as isosurfaces in 3D medical images has been available since the mid 1970s. Such models are used for visualization, simulation, measurements (single and multi-modality image registration), and statistics. When working with standard MR- or CT-scans, the surface obtained can contain several million triangles. These models contain data an order of magnitude larger than that which can be efficiently handled by current workstations or transmitted through networks. These algorithms generally ignore efficient combinations that would produce fewer, well shaped triangles. An efficient algorithm must not create a larger data structure than present in the raw data. Recently, much research has been done on the simplification and optimization of surfaces ([Moore and Warren, 1991]); [Schroeder et al., 1992]; [Turk, 1992]; [Hoppe et al., 1993]; [Kalvin and Taylor, 1994]). All of these algorithms satisfy two criteria, consistency and accuracy, to some degree. Consistent simplification occurs via predictable patterns. Accuracy is measured in terms of fidelity to the original surface, and is a prerequisite for collecting reliable measurements from the simplified surface. We describe the 'Wrapper' algorithm that simplifies triangulated surfaces while preserving the same topological characteristics. We employ the same simplification operation in all cases. However, simplification is restricted but not forbidden in high curvature areas. This hierarchy of operations results in homogeneous triangle aspect and size. images undergoing compression ratios between 10 and 20:1 are visually identical to full resolution images. More importantly, the metric accuracy of the simplified surfaces appears to be unimpaired. Measurements based upon 'ridge curves; (sensu [Cutting et al., 1993]) extracted on polygonal models were recently introduced [Ayache et al., 1993]. We compared ridge curves digitized from full resolution, Wrappe

关键词： 3D modeling Data modeling image compression image resolution Surgery Visualization Computed tomography Natural surfaces 3D metrology Optimization (mathematics)

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INTERPOLATING CUBIC SPLINE CONTOURS BY MINIMIZING SECOND DERIVATIVE DISCONTINUITY

引用

3rd international CONF ON computer VISION

作者： TEHRANI, S WEYMOUTH, TE SCHUNCK, B Dept of Electr Eng & Comput Sci Univ of Michigan Ann Arbor MI USA

ISBN: (纸本)0818620579

It is shown how a contour can be estimated from a few edge positions. The technique fits a cubic spline to edges using the position and orientations of edges (tangent slopes) and computes tangent magnitudes by a minimization based on the second derivatives. Cubic splines (piecewise third-order polynomials) are used because they are the lowest-order polynomials that can deal with inflection points. For assuring a smooth overall contour, the polynomial segments are joined such that the continuity of the first derivative is preserved and discontinuity in the second derivative is minimized. This technique can be used as an efficient means for entering and editing contours which are tied to the underlying data through the edge orientations. The time required for computing the edge orientations and the time for finding the curve parameters are linearly proportional to the number of edge fragments. The algorithm was applied to medical images, and the results are compared with the conic splines and the B-splines and the distance approximation to the cubic splines.

关键词： image Processing

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SIMULATION OF AN INTERACTIVE WORKSTATION FOR image DISPLAY.

SIMULATION OF AN INTERACTIVE WORKSTATION FOR IMAGE DISPLAY.

引用

3rd international conference on Picture Archiving and Communication Systems (PACS III) for medical Applications.

作者： Maydell, Ursula M. Davis, Wayne A. Univ of Alberta Dep of Computing Science Edmonton Alberta Can Univ of Alberta Dep of Computing Science Edmonton Alberta Can

ISBN: (纸本)0892525711

This paper presents a simulation of an image display system or workstation connected to a minicomputer system which is in turn connected to a larger computer system. The use of image display systems in a medical environment is summarized and parameters discussed include image and display resolution, communication bandwidth, and workstation configuration. User activities are broken down into five categories: display, edit, manipulation, generation and browse. Typical user sessions or workloads are then composed of these categories in various proportions and the response time and effectiveness of the simulated activity is measured.

关键词： INFORMATION RETRIEVAL SYSTEMS

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medical image computing and computer-assisted intervention − MICCAI 2017 1

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丛书名： Lecture Notes in computer Science

1000年

作者： Maxime Descoteaux Lena Maier-Hein Alfred Franz Pierre Jannin D. Louis Collins Simon Duchesne

ISBN: (数字)9783319661858

ISBN: (纸本)9783319661841

The three-volume set LNCS 10433, 10434, and 10435 constitutes the refereed proceedings of the 20th international conference on medical image computing and computer-assisted intervention, MICCAI 2017, held inQuebec City, Canada, in September 2017.;The 255 revised full papers presented were carefully reviewed and selected from 800 submissions in a two-phase review process. The papers have been organized in the following topical sections: Part I: atlas and surface-based techniques; shape and patch-based techniques; registration techniques, functional imaging, connectivity, and brain parcellation; diffusion magnetic resonance imaging (dMRI) and tensor/fiber processing; and image segmentation and modelling. Part II: optical imaging; airway and vessel analysis; motion and cardiac analysis; tumor processing; planning and simulation for medical interventions; interventional imaging and navigation; and medical image computing. Part III: feature;extraction and classification techniques; and machine learning in medical image computing.

关键词： image Processing and computer Vision Artificial Intelligence Probability and Statistics in computer Science Pattern Recognition Health Informatics

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Ophthalmic medical image Analysis 1

引用

丛书名： Lecture Notes in computer Science

1000年

作者： Bhavna Antony Hao Chen Huihui Fang Huazhu Fu Cecilia S. Lee Yalin Zheng

This book constitutes the refereed proceedings of the 10th international Workshop on Ophthalmic medical image Analysis, OMIA 2023, held in conjunction with the 26th international conference on medical Imaging and Comp... 详细信息

ISBN: (数字)9783031440137

ISBN: (纸本)9783031440120

关键词： image Processing and computer Vision Artificial Intelligence Pattern Recognition computer Systems Organization and Communication Networks

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medical computer Vision. Large Data in medical Imaging 1

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丛书名： Lecture Notes in computer Science

1000年

作者： Bjoern Menze Georg Langs Albert Montillo Michael Kelm Henning Müller Zhuowen Tu

ISBN: (数字)9783319055305

ISBN: (纸本)9783319055299

This book constitutes the thoroughly refereed post-workshop proceedings of the Third international Workshop on medical computer Vision, MCV 2013, held in Nagoya, Japan, in September 2013 in conjunction with the 16th international conference on medical image computing and computer-assisted intervention, MICCAI 2013. The 7 revised full papers and 12 poster papers presented were selected from 25 submissions. They have been organized in topical sections on registration and visualization, segmentation, detection and localization, and features and retrieval. In addition, the volume contains two invited papers describing segmentation task and data set of the VISCERAL benchmark challenge.

关键词： image Processing and computer Vision Pattern Recognition Health Informatics

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medical image computing and computer-assisted intervention – MICCAI 2008 1

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丛书名： Lecture Notes in computer Science

1000年

ISBN: (数字)9783540859888

ISBN: (纸本)9783540859871

The 11th international conference on medical Imaging and computer assisted intervention, MICCAI 2008, was held at the Helen and Martin Kimmel Center of New York University, New York City, USA on September 6–10, 2008. MICCAI is the premier international conference in this domain, with - depth papers on the multidisciplinary ?elds of biomedical image computing and analysis, computer assisted intervention and medical robotics. The conference brings together biological scientists, clinicians, computer scientists, engineers, mathematicians, physicists and other interested researchers and o?ers them a forum to exchange ideas in these exciting and rapidly growing ?elds. The conference is both very selective and very attractive: this year we - ceived a record number of 700 submissions from 34 countries and 6 continents, fromwhich258papers were selectedfor publication,whichcorrespondsto a s- cess rate of approximately 36%. Some interesting facts about the distribution of submitted and acceptedpapers are shown graphically at the end of this preface. The paper selection process this year was based on the following procedure, which included the introduction of several novelties over previous years. 1. A ProgramCommittee (PC) of 49 members was recruited by the Program Chairs,to getthenecessarybody *** PC members agreed in advance to participate in the ?nal paper selection process. 2. Key words grouped in 7 categories were used to describe the content of the submissions and the expertise of the reviewers.

关键词： image Processing and computer Vision Medicine/Public Health, general Imaging / Radiology Pattern Recognition computer Graphics Artificial Intelligence

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medical image computing and computer assisted intervention – MICCAI 2023 1

引用

丛书名： Lecture Notes in computer Science

1000年

作者： Hayit Greenspan Anant Madabhushi Parvin Mousavi Septimiu Salcudean James Duncan Tanveer Syeda-Mahmood Russell Taylor

The ten-volume set LNCS 14220, 14221, 14222, 14223, 14224, 14225, 14226, 14227, 14228, and 14229 constitutes the refereed proceedings of the 26th international conference on medical image computing and computer-Assist... 详细信息

ISBN: (数字)9783031439018

ISBN: (纸本)9783031439001

关键词： computer Imaging, Vision, Pattern Recognition and Graphics computer Applications Machine Learning computers and Education Biomedical Engineering and Bioengineering Biomedical Engineering and Bioengineering

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Digital Human Modeling 1

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丛书名： Lecture Notes in computer Science

1000年

ISBN: (数字)9783540733218

ISBN: (纸本)9783540733188

The 12th international conference on Human-computer Interaction, HCI Inter- tional 2007, was held in Beijing, P.R. China, 22-27 July 2007, jointly with the Symposium on Human Interface (Japan) 2007, the 7th international conference on Engineering Psychology and Cognitive Ergonomics, the 4th international conference on Universal Access in Human-computer Interaction, the 2nd international Conf- ence on Virtual Reality, the 2nd international conference on Usability and Inter- tionalization, the 2nd international conference on Online Communities and Social computing, the 3rd international conference on Augmented Cognition, and the 1st international conference on Digital Human Modeling. A total of 3403 individuals from academia, research institutes, industry and g- ernmental agencies from 76 countries submitted contributions, and 1681 papers, judged to be of high scientific quality, were included in the program. These papers address the latest research and development efforts and highlightthe human aspects of design and use of computing systems. The papers accepted for presentation th- oughly cover the entire field of Human-computer Interaction, addressing major - vances in knowledge and effective use of computers in a variety of application areas. This volume, edited by Vincent G. Duffy, contains papers in the thematic area of Digital Human Modeling, addressing the following major topics: • Shape and Movement Modeling and Anthropometry • Building and Applying Virtual Humans • medical and Rehabilitation Applications • Industrial and Ergonomic Applications

关键词： User Interfaces and Human computer Interaction Simulation and Modeling image Processing and computer Vision Pattern Recognition Artificial Intelligence Information Systems Applications (incl. Internet)

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