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

共 4109 条记录，以下是3871-3880 订阅

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Analysis of brain functional MRI time series based on continuous wavelet transform and stimulation-response coupling distance 4th

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4th international conference on medical image computing and computer-assisted intervention, MICCAI 2001

作者： Thoraval, Laurent Armspach, Jean-Paul Namer, Izzie Laboratoire des Sciences de l’Image De l’Informatique et de la Télédétection LSIIT/GRI - UPRES-ACN RS 7005 ENSPS Bd. Sébastien Brandt IllkirchF-67400 France Institut de Physique Biologique 4 Rue Kirschleger Strasbourg CedexF-67085 France

ISBN: (纸本)3540426973

Analytical techniques applied to functional magnetic resonance imaging (fMRI) data require restrictive assumptions about the shape of the blood oxygenation level dependent (BOLD) time series observed at each voxel in response to a stimulation paradigm. In this paper, a radically different and fundamentally pattern recognition-oriented fMRI brain activation mapping approach is proposed. Neural activity is assessed at each voxel on a coupling distance principle between the deterministic alternation sequence of the stimulation paradigm and the sequence of BOLD response nonstationarities detected and characterized by a continuous wavelet transform (CWT). The voxel’s stimulationresponse coupling distance is measured using an adapted version of the string edit distance algorithm. fMRI studies conducted on synthetic and real data demonstrated the superiority of the "coupling distance" brain activation mapping approach over against the Student’s t-test. © Springer-Verlag Berlin Heidelberg 2001.

关键词： Time series

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Classification of SPECT images of normal subjects versus images of Alzheimer’s disease patients 4th

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4th international conference on medical image computing and computer-assisted intervention, MICCAI 2001

作者： Stoeckel, Jonathan Malandain, Grégoire Migneco, Octave Koulibaly, Pierre Malick Robert, Philippe Ayache, Nicholas Darcourt, Jacques INRIA 2004 route des Lucioles Sophia Antipolis06 902 France Service de Médecine Nucléaire Centre Antoine Lacassagne 33 avenue de Valombrose NICE cedex 206 189 France Laboratoire de Biophysique 28 avenue de Valombrose NICE cedex 206 107 France Service de Psychiatrie CHU Pasteur 30 voie Romaine B.P 69 NICE cedex06 000 France

ISBN: (纸本)3540426973

This work aims at providing a tool to assist the interpretationof SPECT images for the diagnosis of Alzheimer’s Disease (AD). Our approach is to test classifiers, which uses the intensity values of the images, without any prior information. Such a classifier is built upon a training set, containing images with two different labels (AD patients and normal subjects). It will then provide a classification for any new unknown image. The main problem to be handled is the small number of available images compared to the large number of features (here the image’s voxels): the so-called small sample size problem. We evaluate here the ability of two linear classifiers to correctly label a set of 79 images. Our experiments show promising results. They also show that image classification based on intensity values only is possible and might be used for other applications as well. © Springer-Verlag Berlin Heidelberg 2001.

关键词： image classification

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Geometrical transformation approximation for 2D/3D intensity-based registration of portal images and CT scan 4th

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4th international conference on medical image computing and computer-assisted intervention, MICCAI 2001

作者： Sarrut, David Clippe, Sébastien ERIC laboratory Université Lumière Lyon 2 5 Av. Pierre Mendès-France Bron69676 France Centre de Lutte Contre le Cancer Léon Bérard 28 rue Laënnec Lyon69008 France

ISBN: (纸本)3540426973

Conformal radiotherapy treatments need accurate patient positioning in order to spare normal tissues. Patient pose can be evaluated by registering portal images (PI) with Digitally Reconstructed Radiographs (DRR). Several methods involve segmentation which is known to be a difficult task for noisy PI. In this paper, we study another approach by using a fully 3D intensity-based registration method, without segmentation. Our approach uses the correlation ratio as similarity measure and replace DRR generation with a treatment on pre-computed DRR. A specific geometrical transformation is applied to approximate a given projection by the composition of out-of-plane rotations and inplane transformation. Some preliminary experiments on both simulated and real portal images, lead to good results (RMS error lower than 2 mm). © Springer-Verlag Berlin Heidelberg 2001.

关键词： computerized tomography

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Modeling surgical procedures for multimodal image-guided neurosurgery 4th

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4th international conference on medical image computing and computer-assisted intervention, MICCAI 2001

作者： Jannin, P. Raimbault, M. Morandi, X. Gibaud, B. Laboratoire IDM Umversite de Rennes 12 avenue du Pr Leon Bernard CS 34317 RENNES Cedex35043 France Department of Neurosurgery Hopital Umversitarre de Rennes Rue H. Le Gmlloux RENNES Cedex 935033 France

ISBN: (纸本)3540426973

We present a model of surgical procedures that facilitates the management of multimodal information (i.e. anatomical and functional) in the context of multimodal image-guided craniotomies. We suggest that a surgical procedure be considered as a script consisting of a set of successive steps. Each step comprises a list of image entities extracted from multimodal images and relevant for the performance of this surgical step, and an action describing the purpose of the step. Each image entity has a role that may be different from step to step. This model is described by a UML class diagram and a textual description. We also present the results of a preliminary validation of the model performed on 15 clinical cases. The validation has shown the relevance of our model on the clinical cases studied and has confirmed the main assumptions we made to define the model. Even though further semantic validation is required, some benefits of this approach can be outlined: it improves management of multimodal information by describing when and why images are essential in the performance of the surgical act (e.g. place and role of images in the surgical script) and adapts visualization and interaction modes in neuronavigation. Our model should enhance preparation and guidance of surgery and lead to the development of simulation and even teaching tools. © Springer-Verlag Berlin Heidelberg 2001.

关键词： Neurosurgery

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A generic framework for non-rigid registration based on non-uniform multi-level free-form deformations 4th

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4th international conference on medical image computing and computer-assisted intervention, MICCAI 2001

作者： Schnabel, Julia A. Rueckert, Daniel Quist, Marcel Blackall, Jane M. Castellano-Smith, Andy D. Hartkens, Thomas Penney, Graeme P. Hall, Walter A. Liu, Haiying Truwit, Charles L. Gerritsen, Frans A. Hill, Derek L. G. Hawkes, David J. Computational Imaging Science Group Radiological Sciences and Medical Engineering Guy’s Hospital King’s College London United Kingdom Visual Information Processing Dept Computing Imperial College of Science Technology and Medicine London United Kingdom EasyVision Advanced Development Philips Medical Systems Best Netherlands Dept. Neurosurgery University of Minnesota MinneapolisMN United States Dept. Radiology University of Minnesota MinneapolisMN United States

ISBN: (纸本)3540426973

This work presents a framework for non-rigid registration which extends and generalizes a previously developed technique by Rueckert et al. [1]. We combine multi-resolution optimization with free-form deformations (FFDs) based on multi-level B-splines to simulate a non-uniform control point distribution. We have applied this to a number of different medical registration tasks to demonstrate its wide applicability, including interventional MRI brain tissue deformation compensation, breathing motion compensation in liver MRI, intramodality inter-modality registration of pre-operative brain MRI to CT electrode implant data, and inter-subject registration of brain MRI. Our results demonstrate that the new algorithm can successfully register images with an improved performance, while achieving a significant reduction in run-time. © Springer-Verlag Berlin Heidelberg 2001.

关键词： Magnetic resonance imaging

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In-vitro validation of a novel model-based approach to the measurement of arterial blood flow waveforms from dynamic digital x-ray images 4th

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4th international conference on medical image computing and computer-assisted intervention, MICCAI 2001

作者： Rhode, Kawal Ennew, Gareth Lambrou, Tryphon Seifalian, Alexander Hawkes, David Division of Radiological Sciences and Medical Engineering Guy's King's and St. Thomas' Hospitals Medical School Guy's Hospital LondonSE1 9RT United Kingdom University Department of Surgery Royal Free and University College Medical School The Royal Free Hospital Pond Street LondonNW3 2QG United Kingdom

ISBN: (纸本)3540426973

We have developed a blood flow waveform shape model using principal component analysis (PCA) and applied this to our existing concentration-distance curve matching technique for the extraction of flow waveforms from dynamic digital x-ray images. The aim of the study was to validate the system using a moving-vessel flow phantom. Instantaneous recording of flow from an electromagnetic flow meter (EMF) provided the "gold standard" measurement. A model waveform was constructed from 256 previously recorded waveforms from the EMF using PCA. Flow waveforms were extracted from parametric images derived from dynamic x-ray data by finding the parameters of the shape model that minimized the mean value of our cost function. The computed waveforms were compared to the EMF recordings. The model-based approach produced narrower limits of agreement with the EMF data than our previously developed algorithms and, in the presence of increasing noise in the parametric images, it out-performed the other algorithms. © Springer-Verlag Berlin Heidelberg 2001.

关键词： Principal component analysis

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Unsupervised and adaptive segmentation of multispectral 3d magnetic resonance images of human brain: A generic approach 4th

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4th international conference on medical image computing and computer-assisted intervention, MICCAI 2001

作者： Pachai, Chahin Zhu, Yue Min Guttmann, Charles R.G. Kikinis, Ron Jolesz, Ferenc A. Gimenez, Gerard Froment, Jean-Claude Confavreux, Christian Warfield, Simon K. CREATIS CNRS Research Unit UMR 5515 INSA de Lyon France Departments of Neurology and Radiology-MRI Hopital Neurologique et Neurochirurgical Pierre Wertheimer Lyon France Surgical Planning Laboratory Department of Radiology-MRI Brigham and Women’s Hospital Harvard Medical School BostonMA United States

A generic algorithm is presented for the segmentation of three3;dimensional multispectral magnetic resonance images. The algorithm is unsupervised and adaptive, does not require initialization, classifies the data... 详细信息

ISBN: (纸本)3540426973

A generic algorithm is presented for the segmentation of threedimensional multispectral magnetic resonance images. The algorithm is unsupervised and adaptive, does not require initialization, classifies the data in any number of tissue classes and suggests an optimal number of classes. It uses a statistical model including Bayesian distributions for brain tissues intensities and Gibbs Random Fields (GRF)-based spatial contiguity constraints. The classification is unsupervised, that is to say the intensity-based signatures of brain tissues and the spatial hyperparameters of the underlying GRF are derived from the data. Adaptivity is achieved through the variation of the size of the neighborhoods used for the estimation of the intensity characteristics. This allows slow variations of signal intensity in space to account for MRI intensity nonuniformity. Segmentation results with proton density, T2 and Tl-weighted data are provided. The algorithm can be used as an independent segmentation module within a brain MRI data processing pipeline. © Springer-Verlag Berlin Heidelberg 2001.

关键词： Magnetic resonance imaging

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Multi-DOF forceps manipulator system for laparoscopic surgery - Mechanism miniaturized and evaluation of new interface 4th

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4th international conference on medical image computing and computer-assisted intervention, MICCAI 2001

作者： Nakamura, Ryoichi Oura, Takeshi Kobayashi, Etsuko Sakuma, Ichiro Dohi, Takeyoshi Yahagi, Naoki Tsuji, Takayuki Shimada, Mitsuo Hashizume, Makoto Dept of Precision Engineering Graduate School of Engineering Japan Institute of Environmental Studies Graduate school of Frontier Science The Univ. of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo113-8656 Japan Department of Surgery and Science Graduate School of Medical Sciences Japan Dept of Disaster and Emergency Medicine Grad. School of Medical Science Kyushu University 3-1-1 Maidashi Higashi-ku Hukuoka812-8582 Japan

ISBN: (纸本)3540426973

The Multi-DOF forceps manipulator we developed has two additional DOF of bending on the tip of forceps, and provides new surgical fields and techniques for surgeons. The most remarkable characteristics of the prototype described in this paper are: 1) the small diameter and the small radius of curvature of bending;2) the confirmation of perfect cleanness and sterilization of this manipulator. In this paper, we will show some new mechanisms of the forceps manipulator. Firstly, we made new mechanism of bending forceps. Using the mechanism, we made new prototype of forceps manipulator which diameter is 5mm. Secondly, we developed new concept of man-machine interface for the system. It will show the new control method and surgeons can operate surgeries with more dexterity and without confusion. We evaluated the system including new interface on typical laparosurgical procedure using simulator, and confirmed the effectiveness of this concepts. © Springer-Verlag Berlin Heidelberg 2001.

关键词： Manipulators

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Automated hippocampal segmentation by regional fluid registration of serial MRI: Validation and application in Alzheimer's disease 4th

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4th international conference on medical image computing and computer-assisted intervention, MICCAI 2001

作者： Scahill, Rachael I. Crum, William R. Fox, Nick C. Dementia Research Group Institute of Neurology 8-11 Queen Square LondonWC1N 3BG United Kingdom

ISBN: (纸本)3540426973

Voxel-level three-dimensional fluid registration was used to propagate hippocampal segmentation from baseline MR scans onto follow-up scans. In this way automated measurements of hippocampal volume and volume changes were derived. The objective was to compare this technique with the current gold standard of manual segmentation. Serial measurements were performed on 15 normal controls and 12 Alzheimer.s disease (AD) subjects. Hippocampal regions on the rigidly-registered repeat scans were generated both by manual segmentation and fluid registration. There was no significant difference between the repeat volumes generated by the two methods (p © Springer-Verlag Berlin Heidelberg 2001.

关键词： Automation

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Automatic construction of 3D statistical deformation models using non-rigid registration 4th

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4th international conference on medical image computing and computer-assisted intervention, MICCAI 2001

作者： Rueckert, D. Frangi, A.F. Schnabel, J.A. Visual Information Processing Department of Computing Imperial College London United Kingdom Grupo de Tecnologia de las Comunicaciones Departamento de Ingenieria Electronica y Comunicaciones Universidad de Zaragoza Spain Utrecht Netherlands Computational Imaging Science Group Guy’s Hospital King’s College London United Kingdom

ISBN: (纸本)3540426973

In this paper we introduce the concept of statistical deformation models (SDM) which allow the construction of average models of the anatomy and their variability. SDMs are built by performing a statistical analysis of the deformations required to map anatomical features in one subject into the corresponding features in another subject. The concept of SDMs is similar to active shape models (ASM) which capture statistical information about shapes across a population but offers several new advantages over ASMs: Firstly, SDMs can be constructed directly from images such as MR or CT without the need for segmentation which is usually a prerequisite for the construction of active shape models. Instead a non-rigid registration algorithm is used to compute the deformations required to establish correspondences between the reference subject and the subjects in the population class under investigation. Secondly, SDMs allow the construction of an atlas of the average anatomy as well as its variability across a population of subjects. Finally, SDMs take the 3D nature of the underlying anatomy into account by analysing dense 3D deformation fields rather than only the 2D surface shape of anatomical structures. We demonstrate the applicability of this new framework to MR images of the brain and show results for the construction of anatomical models from 25 different subjects. © Springer-Verlag Berlin Heidelberg 2001.

关键词： Deformation

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