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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3591-3600 订阅

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Precalibration versus 2D-3D registration for 3D guide wire display in endovascular interventions

Precalibration versus 2D-3D registration for 3D guide wire d...

引用

medical image computing and computer-assisted intervention, MICCAI 2004 - 7th international conference, Proceedings

作者： Baert, Shirley A. M. Penney, Graeme P. Van Walsum, Theo Niessen, Wiro J. Image Sciences Institute University Medical Center Utrecht P.O.Box 85500 3508 GA Utrecht Netherlands

ISBN: (纸本)3540229779

During endovascular interventions, the radiologist relies on 2D projection images to advance the guide wire, while often a preoperative 3D image of the vasculature is available. To take full advantage of the 3D information, two different methods are proposed and compared for 3D guide wire reconstruction and visualization in the 3D vasculature. Upon tracking the guide wire in biplane fluoroscopy images, the first approach utilizes a precalibrated C-arm system to determine the guide wire position in the 3D coordinate system of the vasculature. In the second method the relation between the projection images and the 3D vascular data is determined using intensity based 2D-3D registration. Based on a study on an anthropomorphic phantom, it is shown that the calibration method is highly accurate, but that in case of imperfect geometry knowledge results rapidly degrade. For 2D-3D registration, similar accurate results were obtained with a 97.8 (84.2)% success rate if the registration starting position was within 4 (8) degrees rotation and 5 (10) mm translation of the reference position. The latter method has also been used to succesfully reconstruct a guide wire in a patient dataset. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Radiology

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Automatic detection and recognition of lung abnormalities in helical CT images using deformable templates

Automatic detection and recognition of lung abnormalities in...

引用

medical image computing and computer-assisted intervention, MICCAI 2004 - 7th international conference, Proceedings

作者： Farag, Aly El-Baz, Ayman Gimel'Farb, Georgy G. Falk, Robert Hushek, Stephen G. Computer Vision and Image Processing Laboratory University of Louisville Louisville KY 40292 United States Department of Computer Science Tamaki Campus University of Auckland Auckland New Zealand Medical Imaging Division Jewish Hospital Louisville KY United States iMRI Department Norton Hospital Louisville KY United States

ISBN: (纸本)3540229779

Automatic detection of lung nodules is an important problem in computer analysis of chest radiographs. In this paper we propose a novel algorithm for isolating lung nodules from spiral CT scans. The proposed algorithm is based on using four different types of deformable templates describing typical geometry and gray level distribution of lung nodules. These four types are (z) solid spherical model of large-size calcified and non-calcified nodules appearing in several successive slices;(ii) hollow spherical model of large lung cavity nodules;(Hi) circular model of small nodules appearing in only a single slice;and (iv) semicircular model of lung wall nodules. Each template has a specific gray level pattern which is analytically estimated in order to fit the available empirical data. The detection combines the normalized cross-correlation template matching by genetic optimization and Bayesian post-classification. This approach allows for isolating abnormalities which spread over several adjacent CT slices. Experiments with 200 patients' CT scans show that the developed techniques detect lung nodules more accurately than other known algorithms. © Springer-Verlag Berlin Heidelberg 2004.

关键词： computer vision

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Detection of micro- to nano-sized particles in soft tissue

Detection of micro- to nano-sized particles in soft tissue

引用

medical image computing and computer-assisted intervention, MICCAI 2004 - 7th international conference, Proceedings

作者： Troster, Helmut Milz, Stefan Trendelenburg, Michael F. Jorder, F. Scharf, Hanns-Peter Schwarz, Markus Dep. of Orthopaedic Surgery Faculty of Clinical Medicine Mannheim University Heidelberg Theodor-Kutzer-Ufer 1-3 D-68167 Mannheim Germany University of Munich Anatomical Institute Pettenkofer Strasse 11 D-80336 München Germany Biomedical Structure Analysis Dep. A120 Im Neuenheimer Feld 280 D-69120 Heidelberg Germany

ISBN: (纸本)3540229779

The demand is growing to study paniculate debris in the human organism. This task is time-consuming. Therefore it is important to find an efficient way of particle identification and analysis. Carriers of hip replacement implants are exposed to particulate wear debris close to and even far away from the implantation sites. This could ease the study of particle transport in the human organism because detectable amounts of particulate matter are likely to arrive in distant organs with regard to the implant. A feasible approach for particle analysis down to the level of electron microscopy is presented here. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Tissue

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Correction of accidental patient motion for online Mr thermometry

Correction of accidental patient motion for online Mr thermo...

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7th international conference on medical image computing and computer-assisted intervention, MICCAI 2004

作者： de Senneville, Baudouin Denis Desbarats, Pascal Salomir, Rares Quesson, Bruno Moonen, Chrit T. W. IMF ERT CNRS/Université Bordeaux 2-146 rue Léo Saignat BordeauxF-33076 France Image Guided Therapy SA 2 allée du doyen George Brus PessacF-33600 France LaBRI UMR 5800 CNRS/Université Bordeaux 1-351 cours de la Libération TalenceF-33405 France U386 INSERM France

ISBN: (纸本)3540229779

Magnetic Resonance (MR) temperature mapping can be used to monitor temperature changes in minimally invasive thermal therapies during the procedure. The proton resonance frequency (PRF) shift technique gives an estimate of the relative temperature variation, comparing contrast between dynamically acquired images and reference data sets. However, organ displacements due to physiological activity (heart and respiration) may induce important artifacts on computed temperature maps if no correction is applied. This paper summarizes existing classical methods and presents a new approach for correction of accidental motion in such MR images in order to increase robustness of temperature estimation using the PRF shift. The correction method described in this paper consists of using image registration techniques to estimate motion on anatomical images. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Magnetic resonance

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Improved EM-based tissue segmentation and partial volume effect quantification in multi-sequence brain MRI

Improved EM-based tissue segmentation and partial volume eff...

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medical image computing and computer-assisted intervention, MICCAI 2004 - 7th international conference, Proceedings

作者： Dugas-Phocion, Guillaume González Ballester, Miguel Angel Malandain, Grégoire Lebrun, Christine Ayache, Nicholas Inria Epidaure Project Team 2004 route des Lucioles 06902 Sophia Antipolis Cedex France Pasteur Hospital Neurology Department 30 voie romaine 06002 Nice France

The Expectation Maximization algorithm is a powerful probabilistic tool for brain tissue segmentation. The framework is based on the Gaussian mixture model in MRI, and employs a probabilistic brain atlas as a prior to produce a segmentation of white matter, grey matter and cerebro-spinal fluid (CSF). However, several artifacts can alter the segmentation process. For example, CSF is not a well defined class because of the large quantity of voxels affected by the partial volume effect which alters segmentation results and volume computation. In this study, we show that ignoring vessel segmentation when handling partial volume effect can also lead to false results, more specifically to an over-estimation of the CSF variance in the intensity space. We also propose a more versatile method to improve tissue classification, without a requirement of any outlier class, so that brain tissues, especially the cerebro-spinal fluid, follows the Gaussian noise model in MRI correctly. © Springer-Verlag Berlin Heidelberg 2004.

关键词： image segmentation

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Temporal lobe epilepsy surgical outcome prediction

Temporal lobe epilepsy surgical outcome prediction

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7th international conference on medical image computing and computer-assisted intervention, MICCAI 2004

作者： Duchesne, Simon Bernasconi, Neda Bernasconi, Andrea Louis Collins, D. McGill Univ MontréalH3A 2B4 Canada

ISBN: (纸本)3540229779

We wished to study pre-operative T1-weighted MRI of intractable temporal lobe epilepsy (TLE) patients who had undergone selective amygdala-hippocampectomy as part of their surgical treatment. We performed a voxel-based morphometry study of gray and white matter (GM,WM) concentration changes by comparing TLE patients with positive and negative surgical outcome. GM concentration changes were primarily located in the left lateral temporal neocortical region, while more extensive changes were found in left lateral temporal and occipital WM. Using those areas to define a region of interest, we showed that mean GM and WM concentration for all voxels within that region can be used to predict surgical outcome with 97% accuracy. © Springer-Verlag Berlin Heidelberg 2004.

关键词： image segmentation

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Matching 3D shapes using 2D conformal representations

引用

medical image computing and computer-assisted intervention, MICCAI 2004 - 7th international conference, Proceedings

作者： Gu, Xianfeng Vemuri, Baba C. Computer and Information Science and Engineering Gainesville FL 32611-6120 United States

ISBN: (纸本)3540229760

Matching 3D shapes is a fundamental problem in medical Imaging with many applications including, but not limited to, shape deformation analysis, tracking etc. Matching 3D shapes poses a computationally challenging task. The problem is especially hard when the transformation sought is diffeomorphic and non-rigid between the shapes being matched. In this paper, we propose a novel and computationally efficient matching technique which guarantees that the estimated non-rigid transformation between the two shapes being matched is a diffeomorphism. Specifically, we propose to conformally map each of the two 3D shapes onto the canonical domain and then match these 2D representations over the class of diffeomorphisms. The representation consists of a two tuple (λ, H), where, λ is the conformal factor required to map the given 3D surface to the canonical domain (a sphere for genus zero surfaces) and H is the mean curvature of the 3D surface. Given this two tuple, it is possible to uniquely determine the corresponding 3D surface. This representation is one of the most salient features of the work presented here. The second salient feature is the fact that 3D non-rigid registration is achieved by matching the aforementioned 2D representations. We present convincing results on real data with synthesized deformations and real data with real deformations. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Pattern matching

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Cardiac motion extraction using 3D surface matching in multislice computed tomography

Cardiac motion extraction using 3D surface matching in multi...

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7th international conference on medical image computing and computer-assisted intervention, MICCAI 2004

作者： Simon, Antoine Garreau, Mireille Boulmier, Dominique Coatrieux, Jean-Louis Le Breton, Herve LTSI INSERM U642 Université de Rennes 1 Campus de Beaulieu Rennes35042 France Centre Cardio-Pneumologique CHU Pontchaillou Rennes35033 France

ISBN: (纸本)3540229779

A new generation of Multislice Computed Tomography (MSCT) scanners, which allows a complete heart coverage and offers new perspectives for cardiac kinetic evaluation, is becoming widely available. A new method has been developed for the left ventricle motion analysis from dynamic MSCT images. It is based on a 3D surface matching process applied to left cavity volumes. It provides 3D velocity fields which can express contraction or expansion movements. First results obtained on real data show that MSCT imaging could be of great clinical interest for cardiac applications. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Heart

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Control system for MR-guided cryotherapy - Short-term prediction of therapy boundary using automatic segmentation and 3D optical flow

Control system for MR-guided cryotherapy - Short-term predic...

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medical image computing and computer-assisted intervention, MICCAI 2004 - 7th international conference, Proceedings

作者： Nakamura, Ryoichi Tuncali, Kemal Morrison, Paul R. Hata, Nobuhiko Silverman, Stuart G. Kikinis, Ron Jolesz, Ferenc A. Zientara, Gary P. Institute of Advanced Biomedical Engineering and Science Tokyo Women's Medical University 8-1 Kawada-cho Shinjuku Tokyo 162-8666 Tokyo Japan Dept. of Radiology Brigham and Women's Hospital Harvard Medical School 75 Francis Street Boston MA 02115 United States Dept. of Mechano-informatics Graduate School of Information Science and Technology Univ. of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo 113-8656 Japan

ISBN: (纸本)3540229779

During cryotherapy, it is extremely useful for the interventionalists to have available intra-operatively a 3D iceball visualization, to ensure the effectiveness and safety of the procedure. Additionally, it highly beneficial to provide the interventionalists with a best estimate of how the iceball will grow in the future, and an estimate of the extent to which the target region and the tissues around it will be ablated. In this study, we introduce a newly developed control system for cryotherapy using a novel approach for the real-time/future-predicted assessments of the treatment. The system has been validated using results from cryotherapy experiments. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Cryotherapy

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Improved regional analysis of oxygen-enhanced lung MR imaging using image registration

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medical image computing and computer-assisted intervention, MICCAI 2004 - 7th international conference, Proceedings

作者： Naish, Josephine H. Parker, Geoffrey J. M. Beatty, Paul C. Jackson, Alan Waterton, John C. Young, Simon S. Taylor, Chris J. Imaging Science and Biomedical Engineering University of Manchester Manchester United Kingdom Global Sciences and Information AstraZeneca Alderley Park Macclesfield United Kingdom AstraZeneca R and D Charnwood Bakewell Road Loughborough United Kingdom

ISBN: (纸本)3540229760

Oxygen enhanced MR imaging of the lung is a promising technique for monitoring a range of pulmonary diseases but regional analysis is hampered by lung motion and volume changes due to breathing. We have developed an image registration method to improve the quantitative regional analysis of both static and dynamic oxygen-enhanced pulmonary MRI. images were acquired using a HASTE sequence at 1.5T for five normal volunteers alternately breathing air and 100% oxygen. Static images were used to calculate regional changes in relaxation rate between breathing air and oxygen which is directly related to the increase in the dissolved oxygen concentration. Dynamic scans were used to calculate regional maps of oxygen wash-in and wash-out time constants. The method provided significant improvements in the both the static and the dynamic analysis. This may provide improved information in the regional assessment of chronic obstructive lung diseases. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Magnetic resonance imaging

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