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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3681-3690 订阅

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Multiresolution biomedical image registration using generalized information measures

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

作者： Wachowiak, Mark P. Smolíková, Renata Peters, Terry M. Robarts Research Institute LondonONN6A 5K8 Canada University of Western Ontario LondonONN6A 5K8 Canada

ISBN: (纸本)3540204644

In addition to the widely-used Shannon mutual information, generalized information-theoretic similarity metrics have properties that make them conducive to biomedical image registration. The mutual information based on Havrda-Charvat and Rényi entropy measures are compared to Shannon mutual information, normalized mutual information, the correlation ratio, and other generalized metrics. Single slice/3D registration results on brain and heart volumes show that generalized metrics that deviate slightly from the Shannon metrics can improve registration outcomes based on success rate, and have competitive computation times. The results also suggest that these metrics may be used with Shannon (and other) measures in a complementary manner. © Springer-Verlag Berlin Heidelberg 2003.

关键词： image registration

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Intravascular ultrasound image segmentation: A fast-marching method 1

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

作者： Cardinal, Marie-Héléne Roy Meunier, Jean Soulez, Gilles Thérasse, Éric Cloutier, Guy Laboratory of Biorheology and Medical Ultrasonics University of Montreal Hospital Canada Département d’Informatique et de Recherche Opérationnelle University of Montreal Canada Radiology Radio-Oncology and Nuclear Medicine Department University of Montreal Hospital Canada

ISBN: (数字)9783540399032

ISBN: (纸本)3540204644

Intravascular ultrasound (IVUS) is a medical imaging technique that not only provides three-dimensional information about the blood vessel lumen and wall, but also directly depicts atherosclerotic plaque structure and morphology. Automatic processing of large data sets of IVUS data represents an important challenge due to ultrasound speckle and technology artifacts. A new semi-automatic IVUS segmentation model, the fast-marching method, based on grayscale statistics of the images, is compared to active contour segmentation. With fast-marching segmentation, the lumen, intima plus plaque structure, and media contours are computed in parallel. Preliminary results of this new IVUS segmentation model agree very well with vessel wall contours. Moreover, fast-marching segmentation is less sensitive to initialization with average distance between segmentation performed with different initializations © Springer-Verlag Berlin Heidelberg 2003.

关键词： Blood vessels

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Comparison of correction protocols for image-guided radiation therapy 1

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

作者： Craig, Tim Sharpe, Michael Haycocks, Tara Bissionnette, Jean-Pierre Catton, Charles Jaffray, David Radiation Medicine Program Princess Margaret Hospital 610 University Ave TorontoM5G 2M9 Canada

ISBN: (数字)9783540399032

ISBN: (纸本)3540204644

In radiation therapy, patient positioning uncertainty and organ motion require that a volume larger than the actual tumour (named the planning target volume [PTV]) be irradiated to ensure that the tumour receives the prescribed dose. image-guided patient positioning can correct targeting errors, thus reducing the uncertainty in the position of the tumour, and therefore, the size of the PTV. Positioning uncertainties are reduced with frequent imaging, but require increasing the overall time of a treatment session. We compare conventional ‘off-line’ error correction protocols to our ‘on-line’ correction protocol for prostate cancer patients. Simulations indicate that our on-line protocol leads to much smaller residual uncertainty than off-line protocols, leading to much smaller PTV margins. Our on-line protocol allows the irradiation of substantially smaller volumes than conventional off-line protocols, leading to reduced normal tissue complications. Introducing an "intervention threshold" has retained some of the efficiency of the off-line strategy. © Springer-Verlag Berlin Heidelberg 2003.

关键词： Tumors

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computing 3D non-rigid brain registration using extended robust point matching for composite multisubject fMRI analysis 1

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

作者： Papademetris, Xenophon Jackowski, Andrea P. Schultz, Robert T. Staib, Lawrence H. Duncan, James S. Departments of Elec. Engineering Yale University NewHavenCT06520-8042 United States Diag. Radiology Yale University NewHavenCT06520-8042 United States Child Study Center Yale University NewHavenCT06520-8042 United States

ISBN: (数字)9783540399032

ISBN: (纸本)3540204644

In this paper we present extensions to the Robust Point Matching framework to improve its ability to handle larger point sets with greater computational efficiency. While in the past this methodology has only been used to register either two-dimensional or small synthetic three-dimensional data-sets we demonstrate its first successful application on large real 3D data-sets. We apply this methodology to the problem of forming composite activation maps from functional magnetic resonance images. In particular we demonstrate the superior performance of this algorithm to a pure intensity-based registration in the specific area of the fusiform gyrus. We also demonstrate that the robustness of this method can be useful in the case where part of the brain is missing as a result of incorrect image slice specification. © Springer-Verlag Berlin Heidelberg 2003.

关键词： Magnetic resonance

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image-based modelling of soft tissue deformation

Image-based modelling of soft tissue deformation

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

作者： Elhelw, Mohamed A. Chung, Adrian J. Darzi, Ara Yang, Guang-Zhong Royal Society Wolfson Med. Image Comp. Laboratory Imperial College London London United Kingdom

This paper describes a novel method for simulating soft tissue deformation with image-based rendering. It is based on the association of a depth map with the texture image and the incorporation of micro-surface details to generate photorealistic images representing soft tissue deformations. In a preprocessing step, the depth map describing the surface is separated into two distributions corresponding to macro- and micro-surface details. During user interactive simulation, deformations resulting from tissue-instrument interaction are rapidly calculated by modifying a coarse mass-spring model fitted to the macrosurface structure. Micro-surface details are subsequently augmented to the modified model with 3D image warping. The proposed technique drastically reduces the polygonal count required to model the scene whilst preserving deformed small surface details to offer a high level of photorealism.

关键词： Tissue

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Automated segmentation of abdominal aortic aneurysms in multi-spectral MR images 1

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

作者： De Bruijne, Marleen Van Ginneken, Bram Bartels, Lambertus W. Van Der Laan, Maarten J. Blankensteijn, Jan D. Niessen, Wiro J. Viergever, M.A. IT University of Copenhagen Denmark Image Sciences Institute University Medical Center Utrecht Netherlands Department of Surgery University Medical Center Utrecht Netherlands

ISBN: (数字)9783540399032

ISBN: (纸本)9783540204640

An automated method for segmenting the outer boundary of abdominal aortic aneurysms in MR images is presented. The method is based on the well known Active Shape Models (ASM), which fit a global landmark-based shape model on the basis of local boundary appearance models. The original three-dimensional ASM scheme is modified to deal with multi-spectral image information and inconsistent boundary appearance in a principled way, with only a limited amount of training data. In addition, a framework for user interaction is proposed. If required, the obtained segmentation can be corrected in an interactive manner by indicating points on the desired boundary. The methods are evaluated in leave-one-out experiments on 21 datasets. A segmentation scheme combining gray level information from two or three MR sequences produces significantly better results than a single-scan model. Average volume errors with respect to the manual segmentation are 4.0%, in 19 out of 21 datasets. In the cases in which the obtained error is large, results can easily be improved using the interactive scheme.

关键词： Magnetic resonance imaging

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pq-Space based 2D/3D registration for endoscope tracking

pq-Space based 2D/3D registration for endoscope tracking

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

作者： Deligianni, Fani Chung, Adrian Yang, Guang-Zhong Royal Society Wolfson Med. Image Comp. Laboratory Imperial College London United Kingdom

This paper presents a new pq-space based 2D/3D registration method for camera pose estimation for endoscope tracking. The proposed technique involves the extraction of surface normals for each pixel of the video images by using a linear local shape-from-shading algorithm derived from the unique camera/lighting constrains of the endoscopes. We illustrate how to use the derived pq-space distribution to match to that of the 3D tomographic model, and demonstrate the accuracy of the proposed method by using an electro-magnetic tracker and a specially constructed airway phantom. Comparison to existing intensity-based techniques has also been made, which highlights the major strength of the proposed method in its robustness against illumination and tissue deformation.

关键词： Particle beam tracking

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Enhanced 3D-visualization of intracranial aneurysms involving the skull base

Enhanced 3D-visualization of intracranial aneurysms involvin...

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

作者： Higuera, F. Vega Sauber, N. Tomandl, B. Nimsky, C. Greiner, G. Hastreiter, P. Neurocenter Dept. of Neurosurgery University of Erlangen Nuremberg Germany Computer Graphics Group University of Erlangen Nuremberg Div. of Neuroradiology Dept. of Neurosurgery University of Erlangen Nuremberg

Direct volume visualization has recently gained importance as a tool for the analysis of intracranial aneurysms focused on therapy planning. CT-angiography (CTA) intensities are mapped to color and opacity values by so called one-dimensional transfer functions. In this work, we introduce 3D-visualization of intracranial aneurysms making use of transfer functions based on measured values and gradient magnitudes extracted from the CTA data. Furthermore, we present a tool for the creation of 2D transfer functions in the clinical environment. The visualization application runs on standard PCs equipped with modern 3D graphics cards. Evaluations were carried out on 17 clinical cases from our archive. Clear improvements with respect to standard volume visualization were observed especially in the area of the skull base, where the arteries are difficult to separate from the bone. Effective separation of skull and arteries was achieved even for cases where the critical vascular structures were embedded in osseous tissue.

关键词： medical imaging

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Registration of organ surface with intra-operative 3D ultrasound image using genetic algorithm

Registration of organ surface with intra-operative 3D ultras...

引用

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

作者： Wu, Ruoyun Ling, Keck Voon Shao, Wei Ng, Wan Sing Clinical Research Unit Tan Tock Seng Hospital 308433 Singapore Sch. of Electron. and Elec. Eng. Nanyang Technological University 639798 Singapore Sch. of Mech. and Prod. Engineering Nanyang Technological University 639798 Singapore

The goal of this research is to register organ surface with intra-operative 3D ultrasound (US) image. The algorithm can be used to register pre-operative images, such as MR and CT, with intra-operative US image, or to track organ surface in US image sequence. Simulation experiments were performed to demonstrate the registration of prostate surface with 3D US image in a population of 8 patients. Surfaces were segmented from US images and registered with the same images multiple times to show the accuracy and consistency. Surface tracking was demonstrated by registering the surface obtained from one US image with another US image of the same patient. Genetic Algorithm was used as the search engine to find out the 6-degree transform of the surface that best fit the US image gradients. The algorithm is observed accurate and achieved high consistency in all tested images with an average process time of 9.5 seconds.

关键词： Biological organs

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Optimal scan planning with statistical shape modelling of the levator ani

Optimal scan planning with statistical shape modelling of th...

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

作者： Lee, Su-Lin Horkaew, Paramate Darzi, Ara Yang, Guang-Zhong Royal Society Wolfson Med. Image Comp. Laboratory Imperial College London London United Kingdom Dept. of Surg. Oncol. and Technology Imperial College London London United Kingdom

Defective pelvic organ support is one of the most common problems in women and its intervention requires an accurate preoperative identification of prolapsed organs and their mechanical properties. With the current state-of-the-art in magnetic resonance imaging, 3D dynamic imaging of the pelvic floor is prohibited by the maximal temporal resolution that can be achieved. In this paper, we propose an optimal scan-planning approach based on statistical shape modelling of the levators such that only a limited number of 2D imaging planes are needed to recover the entire 3D structure. The statistical shape model was achieved by the use of harmonic shape embedding and modelling whilst the reconstruction of the 3D structure from selected imaging planes was carried out by the incorporation of a conjunct MDL measure indicating the statistical shape variation captured by respective imaging planes. The value of the proposed technique was demonstrated with data acquired from a group of 11 asymptomatic subjects, highlighting the value of the method in studying dynamic shape changes when complete 3D imaging is impractical.

关键词： medical imaging

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