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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3581-3590 订阅

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Non-invasive derivation of 3D systolic nonlinear wall stress in a biventricular model from tagged MRI

Non-invasive derivation of 3D systolic nonlinear wall stress...

引用

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

作者： Chien, Aichi Finn, J. Paul Montemagno, Carlo D. Dept. of Biomedical Engineering University of California Los Angeles CA 90095 United States Dept. of Radiological Sciences University of California Los Angeles CA 90095 United States

We present a nonlinear finite element method to calculate the local myocardial wall stress in a reconstructed biventricular MRI model. Nonlinear formulations are utilized in order to describe the ventricular large deformation. Using incremental force computation, a dynamic model showing the change of myocardium wall stress during systolic contraction was established. The preliminary results show that in the normal human heart the local stress increases by a factor of 104 from the end of diastole to the end of systole. Furthermore, during the systolic process the left ventricle develops three times more inner wall stress than the right ventricle, and the peak inner wall stress areas in both ventricles are located at the apex. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Cardiology

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Clustering fiber traces using normalized cuts

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

作者： Brun, Anders Knutsson, Hans Park, Hae-Jeong Shenton, Martha E. Westin, Carl-Fredrik Department of Biomedical Engineering Linköping University Sweden Department of Psychiatry Clinical Neuroscience Division Harvard Medical School Boston MA United States Dept. of Diagnostic Radiology Yonsei University College of Medicine Seoul Korea Republic of Laboratory of Mathematics in Imaging Harvard Medical School Boston MA United States

ISBN: (纸本)3540229760

In this paper we present a framework for unsupervised segmentation of white matter fiber traces obtained from diffusion weighted MRI data. Fiber traces are compared pairwise to create a weighted undirected graph which is partitioned into coherent sets using the normalized cut (N cut) criterion. A simple and yet effective method for pairwise comparison of fiber traces is presented which in combination with the N cut criterion is shown to produce plausible segmentations of both synthetic and real fiber trace data. Segmentations are visualized as colored stream-tubes or transformed to a segmentation of voxel space, revealing structures in a way that looks promising for future explorative studies of diffusion weighted MRI data. © Springer-Verlag Berlin Heidelberg 2004.

关键词： image segmentation

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A multi-resolution CLS detection algorithm for mammographic image analysis

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

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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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Standardized evaluation of 2D-3D registration

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

作者： Van De Kraats, Everine B. Penney, Graeme P. Tomaževič, Dejan Van Walsum, Theo Niessen, Wiro J. Image Sciences Institute University Medical Center Utrecht Netherlands Faculty of Electrical Engineering University of Ljubljana Slovenia

ISBN: (纸本)3540229760

In the past few years a number of 2D-3D registration algorithms have been introduced. However, these methods have not been directly compared or only work for specific applications. Understanding and evaluating their performance is therefore an open and important issue. To address this challenge we introduce a standard evaluation method, which can be used for all types of methods and different applications. Our method uses the geometry of the 3D Rotational X-ray (3DRX) imaging system in combination with 3D-3D registration for attaining a highly accurate ground truth for 2D multiple X-ray to 3D MR/CT/3DRX registration. The data and ground truth transformations will be made available on the Internet. Furthermore, we propose starting positions and failure criteria to allow future researchers to directly compare their methods. As an illustration, the proposed method has been used to evaluate the performance of two 2D-3D registration techniques, viz. a gradient-based and an intensity-based method, in spinal applications. © Springer-Verlag Berlin Heidelberg 2004.

关键词： medical imaging

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Discriminative MR image feature analysis for automatic schizophrenia and Alzheimer's disease classification

Discriminative MR image feature analysis for automatic schiz...

引用

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

作者： Liu, Yanxi Teverovskiy, Leonid Carmichael, Owen Kikinis, Ron Shenton, Martha Carter, Cameron S. Stenger, V. Andrew Davis, Simon Aizenstein, Howard Becker, James T. Lopez, Oscar L. Meltzer, Carolyn C. Carnegie Mellon University United States Harvard Medical School United States University of California Davis United States University of Pittsburgh United States

We construct a computational framework for automatic central nervous system (CNS) disease discrimination using high resolution Magnetic Resonance images (MRI) of human brains. More than 3000 MR image features are extracted, forming a high dimensional coarse-to-fine hierarchical image description that quantifies brain asymmetry, texture and statistical properties in corresponding local regions of the brain. Discriminative image feature subspaces are computed, evaluated and selected automatically. Our initial experimental results show 100% and 90% separability between chronicle schizophrenia (SZ) and first episode SZ versus their respective matched controls. Under the same computational framework, we also find higher than 95% separability among Alzheimer's Disease, mild cognitive impairment patients, and their matched controls. An average of 88% classification success rate is achieved using leave-one-out cross validation on five different well-chosen patient-control image sets of sizes from 15 to 27 subjects per disease class. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Magnetic resonance imaging

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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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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

引用

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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Cadaver validation of the use of ultrasound for 3D model instantiation of bony anatomy in image guided orthopaedic surgery

Cadaver validation of the use of ultrasound for 3D model ins...

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

作者： Chan, C.S.K. Barratt, B.C. Edwards, P.J. Penney, G.P. Slomczykowski, M. Carter, T.J. Hawkes, D.J. Imaging Sciences Division King's College London Guy's Hospital London United Kingdom Department of Surgical Oncology and Technology Imperial College London London United Kingdom I-orthopaedics DePuy a Johnson and Johnson Company Heimstetten Germany

We present cadaver validation of a method that uses tracked ultrasound to instantiate and register 3D statistical shape models (SSMs) of 3 femurs and 2 pelves. The SSMs were generated directly from the deformation fields obtained from non-rigid registration of CT images to a single target CT image. Ultrasound images were obtained from three intact cadavers. These were used to instantiate the model by iteratively minimising the RMS distance between the model surface and the ultrasound-derived bone surface points. The RMS distance between the instantiated model surface and the CT-derived bone surface was less than 3.72mm in the region of the femoral head and acetabulum. We conclude that SSMs of the femur and pelvis may be instantiated and registered to surgical space to within a clinically acceptable accuracy using intra-operative ultrasound. This potentially could reduce the invasiveness of orthopaedic procedures, and remove the requirement for a preoperative CT scan. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Orthopedics

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