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检索条件"任意字段=5th International Conference on Medical Image Computing and Computer-Assisted Intervention"

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Robust inter-slice intensity normalization using histogram scale-space analysis

引用

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

作者： Dauguet, Julien Mangin, Jean-François Delzescaux, thierry Frouin, Vincent Service Hospitalier Frédéric Joliot CEA Orsay France INRIA Epidaure Project Sophia Antipolis France Ecole Centrale Paris Laboratoíre de Mathématiques Appliquées aux Systèmes Châtenay-Malabry France

ISBN: (纸本)3540229760

this paper presents a robust method to correct for intensity differences across a series of aligned stained histological slices. the method is made up of two steps. First, for each slice, a scale-space analysis of the histogram provides a set of alternative interpretations in terms of tissue classes. Each of these interpretations can lead to a different classification of the related slice. A simple heuristics selects for each slice the most plausible interpretation. then, an iterative procedure refines the interpretation selections across the series in order to maximize a score measuring the spatial consistency of the classifications across contiguous slices. Results are presented for a series of 121 baboon slices. © Springer-Verlag Berlin Heidelberg 2004.

关键词： image analysis

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Registration-based interpolation using a high-resolution image for guidance

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7th international conference on medical Imaging and computer assisted intervention, MICCAI 2004

作者： Penney, Graeme P. Schnabel, Julia A. Rueckert, Daniel Hawkes, David J. Niessen, Wiro J. Imaging Sciences Division Guy’s King’s and St. Thomas’ Schools of Medicine King’s College London United Kingdom Visual Information Processing Group Department of Computing Imperial College London United Kingdom Netherlands

ISBN: (纸本)3540229760

A method is presented for interpolation between neighbouring slices in a grey-scale tomographic data set, when a high-resolution image of the same patient is also available. Spatial correspondence between adjacent slices in the high-resolution image are established using a voxel-based non-rigid registration algorithm. these spatial correspondences are used to calculate a set of vectors, which are transferred from the high-resolution image to the lower resolution image by rigidly registering the image volumes together. Linear interpolation is then carried out along these vector directions between neighbouring slices in the low-resolution image. this method has been compared to standard linear interpolation, shape-based interpolation and registration-based interpolation in MR head volumes. Results using a mean square difference error measure show that the proposed method outperforms the other three interpolation techniques. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Interpolation

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A data clustering and streamline reduction method for 3D MR flow vector field simplification

引用

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

作者： Carmo, Bernardo S. Ng, Y. H. Pauline Prugei-Bennett, Adam Yang, Guang-Zhong Department of Electronics and Computer Science University of Southampton SO17 1BJ United Kingdom Department of Computing Imperial College London 180 Queen's Gate London SW7 2BZ United Kingdom

ISBN: (纸本)3540229760

With the increasing capability of MR imaging and Computational Fluid Dynamics (CFD) techniques, a significant amount of data related to the haemodynamics of the cardiovascular systems are being generated. Direct visualization of the data introduces unnecessary visual clutter and hides away the underlying trend associated with the progression of the disease. To elucidate the main topological structure of the flow fields, we present in this paper a 3D visualisation method based on the abstraction of complex flow fields. It uses hierarchical clustering and local linear expansion to extract salient topological flow features. this is then combined with 3D streamline tracking, allowing most important flow details to be visualized. Example results of the technique applied to both CFD and in vivo MR data sets are provided. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Magnetic resonance imaging

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A multi-resolution CLS detection algorithm for mammographic image analysis

A multi-resolution CLS detection algorithm for mammographic ...

引用

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

作者： Wai, Lionel C.C. Mellor, Matthew Brady, Michael Medical Vision Laboratory Robotics Research Group University of Oxford Ewert House Summertown OxfordOX2 7DD United Kingdom

ISBN: (纸本)3540229779

Curvilinear structures (CLS) are locally one-dimensional, relatively thin objects which complicate analysis of a mammogram. they comprise a number of anatomical features, most especially connective tissue, blood vessels, and milk ducts. the segmentation, identification and removal of such structures potentially facilitate a wide range of mammographic image processing applications, such as mass detection and temporal registration. In this paper, we present a novel CLS detection algorithm which is based on the monogenic signal afforced by a CLS physical model. the strength of the proposed modelbased CLS detector is that it is able to identify even low contrast CLS. In addition, a noise suppression approach, based on local energy thresholding, is proposed to further improve the quality of segmentation. A local energy (LE)- based junction detection method which utilises the orientation information provided by the monogenic signal is also presented. Experiments demonstrate that the proposed CLS detection framework is capable of producing welllocalized, highly noise-tolerated responses as well as robust performances as compared to classical orientation-sampling approach. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Blood vessels

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Visualization, planning, and monitoring software for MRI-guided prostate intervention robot

Visualization, planning, and monitoring software for MRI-gui...

引用

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

作者： Balogh, Emese Deguet, Anton Susil, Robert G. Krieger, Axel Viswanathan, Anand Ménard, Cynthia Coleman, Jonathan A. Fichtinger, Gabor Engineering Research Center Johns Hopkins University Baltimore MD United States Dept. of Biomedical Engineering Johns Hopkins University Baltimore MD United States Dept. of Radiology Johns Hopkins University Baltimore MD United States Urologic Oncology Branch NCI National Institutes of Health Bethesda MD United States Radiation Oncology Branch NCI National Institutes of Health Bethesda MD United States Dept. of Informatics University of Szeged Szeged Hungary

this paper reports an interactive software interface for visualization, planning, and monitoring of intra-prostatic needle placement procedures performed with a robotic assistant device inside standard cylindrical high-field magnetic resonance imaging (MRI) scanner. We use anatomical visualization and image processing techniques to plan the process and apply active tracking coils to localize the robot in real-time to monitor its motion relative to the anatomy. the interventional system is in Phase-I clinical trials for prostate biopsy and marker seed placement. the system concept, mechanical design, and in-vivo canine studies have been presented earlier [6,10,14]. the software architecture and three-dimensional application software interface discussed in this paper are new additions. this software was tested on pre-recorded patient data. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Magnetic resonance imaging

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3D/4D cardiac segmentation using active appearance models, non-rigid registration, and the Insight Toolkit

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

作者： Lapp, Robert M. Lorenzo-Valdés, Maria Rueckert, Daniel Institute of Medical Physics University of Erlangen-Nürnberg Henkestrasse 91 91052 Erlangen Germany Visual Information Processing Group Department of Computing Imperial College London 180 Queen's Gate London SW7 2BZ United Kingdom

ISBN: (纸本)3540229760

We describe the design of a statistical atlas-based 3D/4D cardiac segmentation system using a combination of active appearance models (AAM) and statistical deformation models with the Insight Toolkit as an underlying implementation framework. Since the original AAM approach was developed for 2D applications and makes use of manually set landmarks its extension to higher dimensional data sets cannot be easily achieved. We therefore apply the idea of statistical deformation models to AAMs and use a deformable registration step for establishing point-to-point correspondences. An evaluation of the implemented system was performed by segmenting the left ventricle cavity, myocardium and right ventricle of ten cardiac MRI and ten CT datasets. the comparison of automatic and manual segmentations showed encouraging results with a mean segmentation error of 2.2±1.1 mm. We conclude that the combination of a non-rigid registration step with the statistical analysis concepts of the AAM is both feasible and useful and allows for its application to 3D and 4D data. © Springer-Verlag Berlin Heidelberg 2004.

关键词： image segmentation

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A 4D-optical measuring system for the dynamic acquisition of anatomical structures

A 4D-optical measuring system for the dynamic acquisition of...

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

作者： Denis, Kathleen Huysmans, Tom De Wilde, Tom Forausberger, Cristian Rapp, Walter Haex, Bart Sloten, Jos Vander Van Audekercke, Remi Van Der Perre, Georges Heitmann, Kjell Roger Diers, Helmut Division of Biomechanics and Engineering Design K. U. Leuven Celestijnenlaan 200A LeuvenB-3001 Belgium Diers International GmbH Dillenbergweg 4 Schlangenbad65388 Germany

ISBN: (纸本)3540229779

this paper presents a novel measuring system for the detection of moving skeletal structures. the system uses white light raster line triangulation in combination with biomechanical modeling techniques. White light raster line triangulation visualizes surfaces (e.g. the back surface) in an accurate and repeatable way, without detrimental effects, and without making contact to the human body. By making use of modeling techniques such as active contour models, active shape models and inverse kinematic models, biomechanically relevant results such as the position of the skeletal segments during motion are obtained. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Triangulation

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

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

引用

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

Automatic detection and recognition of lung abnormalities in...

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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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