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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3701-3710 订阅

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Statistical-based approach for extracting 3D blood vessels from TOF-MyRA data

Statistical-based approach for extracting 3D blood vessels f...

引用

medical image computing and computer-assisted intervention, MICCAI 2003 - 6th international conference Proceedings

作者： Hassouna, M. Sabry Farag, Aly A. Hushek, Stephen Moriarty, Thomas Comp. Vis. and Image Proc. Lab. University of Louisville Louisville KY 40292 Department of Neurological Surgery University of Louisville KY 40292

In this paper we present an automatic statistical intensity based-approach for extracting the 3D cerebrovascular system from time-of-flight (TOP) magnetic resonance angiography (MRA) data. The voxels of the dataset are classified as either background tissues, which are modeled by a finite mixture of one Rayleigh and two normal distributions, or blood vessels, which are modeled by one normal distribution. We show that the proposed models fit the clinical data properly and result in fewer misclassified vessel voxels. We estimated the parameters of each distribution using the expectation maximization (EM) algorithm. Since the convergence of the EM is sensitive to the initial estimate of the parameters, a novel method for parameter initialization, based on histogram analysis, is provided. A new geometrical phantom motivated by a statistical analysis was designed to validate the accuracy of our method. The algorithm was also tested on 20 in-vivo datasets. The results showed that the proposed approach provides accurate segmentation, especially those blood vessels of small sizes.

关键词： medical imaging

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Unsupervised learning and mapping of brain fMRI signals based on hidden Semi-Markov event sequence models 1

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6th international conference on medical image computing and computer-assisted intervention, MICCAI 2003

作者： Faisan, Sylvain Thoraval, Laurent Armspach, Jean-Paul Heitz, Fabrice Laboratoire des Sciences de l’Image de l’Informatique et de la Télédétection LSIIT/MIV - UMR CNRS 7005 ENSPS Bd. Sébastien Brant IllkirchF-67400 France Institut de Physique Biologique 4 Rue Kirschleger Strasbourg CedexF-67085 France

ISBN: (数字)9783540399032

ISBN: (纸本)3540204644

Most methods used in functional MRI (fMRI) brain mapping require restrictive prior knowledge about the shape of the active bloodoxygenation- level-dependent (BOLD) response, thus leading to suboptimal or invalid inference. To solve this problem, we propose to assess local neural activity in terms of time alignment between the sequence of BOLD dynamics changes of interest and an Hidden Semi-Markov Event Sequence Model (HSMESM) of brain activation. The topology of the HSMESM is built from the deterministic transitions of the input stimulation paradigm and its parameters are automatically and iteratively learned from all intracranial fMRI signals. The brain mapping results achieved by HSMESMs in language processing demonstrate the relevance of such models in BOLD fMRI, especially to cope with strong variabilities of the active BOLD signal across time, brain, experiments and subjects. © Springer-Verlag Berlin Heidelberg 2003.

关键词： Brain mapping

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Automated segmentation of the left ventricle in cardiac MRI

Automated segmentation of the left ventricle in cardiac MRI

引用

medical image computing and computer-assisted intervention, MICCAI 2003 - 6th international conference Proceedings

作者： Kaus, Michael R. Von Berg, Jens Niessen, Wiro Pekar, Vladimir Philips Research Laboratories Sector Technical Systems Röntgenstr. 24-26 D-22335 Hamburg Germany Image Sciences Institute University Medical Center Heidelberglaan 100 3584 CX Utrecht Netherlands

We present a fully automated deformable model technique for myocardium segmentation in 3D MRI. Loss of signal due to blood flow, partial volume effects and significant variation of surface grey value appearance make this a difficult problem. We integrate various sources of prior knowledge learned from annotated image data into a deformable model. Inter-individual shape variation is represented by a statistical point distribution model, and the spatial relationship of the epi- and endocardium is modeled by adapting two coupled triangular surface meshes. To robustly accommodate variation of grey value appearance around the myocardiac surface, a prior parametric spatially varying feature model is established by classification of grey value surface profiles. Quantitative validation of 60 end-diastolic 3D MRI datasets demonstrates accuracy and robustness, with 1.28±0.81 mm mean deviation from manual segmentation. We investigate the extension to 4D by incorporating a constraint on the allowed deformation based on a learned example and show illustrative results for 4D MRI.

关键词： Cardiovascular system

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Extraction and application of expert priors to combine multiple segmentations of human brain tissue 1

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6th international conference on medical image computing and computer-assisted intervention, MICCAI 2003

作者： Rohlfing, Torsten Russakoff, Daniel B. Maurer, Calvin R. Image Guidance Laboratories Department of Neurosurgery Stanford University 300 Pasteur Drive MC 5327 StanfordCA94305-5327 United States

ISBN: (数字)9783540399032

ISBN: (纸本)3540204644

This paper evaluates strategies to combine multiple segmentations of the same image, generated for example by different segmentation methods or by different human experts. Three methods are compared, each estimating and using a different level of prior knowledge about the segmenters. These three methods are: simple label averaging (no priors), a binary expectation maximization (EM) method with independent per-label priors [Warfield et al., MICCAI 2002], and a simultaneous multi-label EM method with across-label priors [Rohlfing et al., IPMI 2003]. The EM methods estimate the accuracies of the individual segmentations with respect to the (unknown) ground truth. These estimates, analogous to expert performance parameters, are then applied as weights in the actual combination step. In the case of the multi-label EM method, typical misclassification behavior, caused for example by neighborhood relationships of different tissues, is also modeled. A validation study using the MNI BrainWeb phantom shows that decision fusion based on the two EM methods consistently outperforms label averaging. Of the two EM methods, the multi-label technique produced more accurate combined segmentations than the binary method. We conclude that the EM methods are useful to produce more accurate segmentations from several different segmentations of the same image. © Springer-Verlag Berlin Heidelberg 2003.

关键词： Tissue

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Application of XMR 2D-3D registration to cardiac interventional guidance

Application of XMR 2D-3D registration to cardiac interventio...

引用

medical image computing and computer-assisted intervention, MICCAI 2003 - 6th international conference Proceedings

作者： Rhode, Kawal S. Hill, Derek L.G. Edwards, Philip J. Hipwell, John Rueckert, Daniel Sanchez-Ortiz, Gerardo I. Hegde, Sanjeet Rahunathan, Vithuran Razavi, Reza Division of Imaging Sciences King's College London United Kingdom Department of Computer Sciences Imperial College London United Kingdom

We describe a registration and tracking technique to integrate cardiac x-ray images and cardiac magnetic resonance (MR) images acquired from a combined x-ray and MR interventional suite (XMR). Optical tracking is used to determine the transformation matrices relating MR and x-ray image coordinates. Calibration and tracking enable us to combine x-ray projection images with registered projection MR images from a volume acquisition, and to display 3D reconstructions of catheters within the MR volume. Registration errors were assessed using phantom experiments. Errors in the combined projection images (2D root mean square target registration error - RMS TRE) were found to be 2.4 - 4.2mm, and the errors in the integrated volume representation (3D RMS TRE) were found to be 4.6 - 5.1mm. These errors are clinically acceptable for alignment of images of the heart and the great vessels. We demonstrate that our technique can be used to guide catheters and to combine electrical and mechanical information in the context of the patient-specific anatomy for a patient undergoing cardiac radio-frequency (RF) ablation.

关键词： medical imaging

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2-D to 3-D Refinement Of Post Mortem Optical and MRI Co-Registration

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6th international conference on medical image computing and computer-assisted intervention, MICCAI 2003

作者： Kenwright, C. Bardinet, E. Hojjat, S.A. Malandain, G. Ayache, N. Colchester, A. University of Kent Canterbury KentCT2 7NZ United States EPIDAURE Research Project INRIA 2004 route des Lucioles BP 93 SOPHIA ANTIPOLIS Cedex06902 France

ISBN: (纸本)3540204644

Accurate co-registration of MR images of the brain with pathological data from the same patient is required for many applications, including validation of in-vivo MRI processing. We present preliminary results from a 2-D optical to 3-D MRI registration process, which depends on initialisation using an initial 3-D reconstruction of post-mortem whole-brain or hemisphere slices from independent 2D images followed by 3-D to 3-D registration. Our overall approach progressively models the acquisition process, and the final stages account for variations in slice thickness and other errors that can occur as a result of the specimen preparation and earlier processing. Our method can be used in most neuropathology laboratories where thick slices are cut. Alternative approaches depend on sectioning by macrocryotomes, which are not generally available and have limited applicability in conditions such as CJD where infectivity risks are high. © Springer-Verlag Berlin Heidelberg 2003.

关键词： Magnetic resonance imaging

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Atlas-based segmentation of the brain for 3-dimensional treatment planning in children with infratentorial ependymoma 1

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medical image computing and computer-assisted intervention, MICCAI 2003 - 6th international conference Proceedings

作者： D'Haese, Pierre-François Duay, Valerie Merchant, Thomas E. Macq, Benoit Dawant, Benoit M. Vanderbilt University Nashville TN United States Univ. Catholique de Louvain Louvain-lar-Neuve Belgium Department of Radiation Oncology St Jude Children's Research Hospital Memphis TN United States

ISBN: (数字)9783540399032

ISBN: (纸本)9783540204640

This paper presents a fully automated brain segmentation method that has been applied to a group of patients with infratentorial ependymoma. The purpose of the study was to test the hypothesis that fully-automated atlas-based segmentation methods provide useful normal tissue dosimetry from which dose-volume modeling may be performed in a manner equivalent to dose-volume data obtained from manual contouring. To test this hypothesis, we compared the integrated average dose for three small (chiasm, pituitary, hypothalamus) and three large (temporal lobes and total brain) normal tissue structures from ten patients using automated and manual contouring. There was no significant difference in the calculated average dose for the structures of interest. The greatest difference was noted for smaller structures which were located along the midline and in the gradient of dose. The results of this study form the basis of an ongoing larger study involving similar patients to evaluate automated and manual contouring as well as the clinical significance of any differences using dose-volume modeling.

关键词： Brain

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Optimum robot control for 3D virtual fixture in constrained ENT surgery

Optimum robot control for 3D virtual fixture in constrained ...

引用

medical image computing and computer-assisted intervention, MICCAI 2003 - 6th international conference Proceedings

作者： Li, Ming Taylor, Russell H. Department of Computer Science NSF Engineering Research Center Johns Hopkins University Baltimore MD United States 3400 North Charles Street - NEB B26 Baltimore MD 21218

In ENT surgery, the operating volume is very limited. This is especially true in sinus surgery, when the instrument passes through the sinus cavity to reach the pathological area. The sinus bones impose geometric constraints on the work volume. During the surgery, the surgeon needs to take care of the motion of the instrument tip to accomplish some delicate procedure;meanwhile he/she needs to avoid hitting anatomic constraints. In this paper, we present a method to assist the path following task in a constrained area. We project instrument tip motion, boundary information on the joint displacement via robot kinematics, and then use a constrained quadratic optimization algorithm to compute the optimal set of corresponding joint displacements. In the preliminary study, we show that the optimization constrained control can avoid collision with geometric constraints on the work volume, while keeping the precision of the tool motion.

关键词： Surgery

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A novel stochastic combination of 3D texture features for automated segmentation of prostatic adenocarcinoma from high resolution MRI

A novel stochastic combination of 3D texture features for au...

引用

medical image computing and computer-assisted intervention, MICCAI 2003 - 6th international conference Proceedings

作者： Madabhushi, Anant Feldman, Michael Metaxas, Dimitris Chute, Deborah Tomaszewski, John University of Pennsylvania Philadelphia PA 19104 Rutgers State Univ. of New Jersey Piscataway NJ 08854

In this work, we present a new methodology for fully automated segmentation of prostatic adenocarcinoma from high resolution MR by using a novel feature ensemble of 3D texture features. This work represents the first attempt to solve this difficult problem using high resolution MR. The difficulty of the problem stems from lack of shape and structure in the adenocarcinoma. Hence, in our methodology we compute statistical, gradient and Gabor alter features at multiple scales and orientations in 3D to capture the entire range of shape, size and orientation of the tumor. For an input scene, a classifier module generates Likelihood Scenes for each of the 3D texture features independently. These are then combined using a weighted feature combination scheme. The ground truth for quantitative evaluation was generated by an expert pathologist who manually segmented the tumor on the MR using registered histologic data. Our system was quantitatively compared against the performance of the individual texture features and against an expert's manual segmentation based solely on visual inspection of the 4T MR data. The automated system was found to be superior in terms of Sensitivity and Positive Predictive Value.

关键词： image segmentation

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A method for segmenting bronchial trees from 3D chest x-ray CT images 1

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6th international conference on medical image computing and computer-assisted intervention, MICCAI 2003

作者： Kitasaka, Takayuki Mori, Kensaku Suenaga, Yasuhito Hasegawa, Jun-Ichi Toriwaki, Jun-Ichiro Graduate School of Information Science Nagoya University Furo-cho Chikusa-ku Nagoya Aichi464-8603 Japan School of Computer and Cognitive Sciences Chukyo University 101 Tokodachi Kaizu-cho Toyota Aichi470-0393 Japan

ISBN: (数字)9783540399032

ISBN: (纸本)3540204644

This paper presents a new method for extracting bronchus regions from 3D chest X-ray CT images based on structural features of the bronchus. This method enhances bronchial walls by applying a sharpening operation and segments each bronchial branch by recognizing the tree structure starting from the trachea. During the extraction process, the volumes of interest (VOI) which contains a bronchial branch currently being processed are defined. Region growing is performed only inside a VOI so that a bronchial branch is extracted by a suitable threshold value. The final bronchus region is obtained by unifying the extracted branches. The tree structure of the bronchus is also extracted simultaneously. The proposed method was applied to three cases of 3D chest X-ray CT images. The experimental results showed that the method significantly improved extraction accuracy. About 82% branches are extracted for 4th-order bronchi, 49% for 5th-order bronchi, and 20% for 6th-order bronchi, compared to 45%, 16%, and 3% by the previous method using the region growing method with a constant threshold value. © Springer-Verlag Berlin Heidelberg 2003.

关键词： Extraction

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