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

作者： Kawata, Y Niki, N Ohmatsu, H Kusumoto, M Kakinuma, R Yamada, K Mori, K Nishiyama, H Eguchi, K Kaneko, M Moriyama, N Univ Tokushima Dept Opt Sci Tokushima 770 Japan Kanagawa Canc Ctr Kanagawa Japan Univ Tokai Tokai Ibaraki Japan

ISBN: (纸本)3540229779

The purpose of this study is to develop an image-guided decision support system that assists decision-making in clinical differential diagnosis of pulmonary nodules. This approach retrieves and displays nodules that exhibit morphological and internal profiles consistent to the nodule in question. It uses a three-dimensional (3-D) CT image database of pulmonary nodules for which diagnosis is known. In order to build the system, there are following issues that should be solved, (1) to categorize the nodule database with respect to morphological and internal features, (2) to quickly search nodule images similar to an indeterminate nodule from a large database, and (3) to reveal malignancy likelihood computed by using similar nodule images. Especially, the first problem influences the design of other issues. The successful categorization of nodule pattern might lead physicians to find important cues that characterize benign and malignant nodules. This paper focuses on an approach to categorize the nodule database with respect to nodule shape and CT density patterns inside nodule.

关键词： image retrieval

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Rigid registration of freehand 3D ultrasound and CT-scan kidney images

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

作者： Leroy, A Mozer, P Payan, Y Troccaz, J Fac Med Lab TIMC GMCAO F-38700 La Tronche France CHU Pitie Salpetriere AP HP Serv Urol & Transplantat Renale F-75013 Paris France

ISBN: (纸本)3540229760

This paper presents a method to register a preoperative CT volume to a sparse set of intraoperative US slices. In the context of percutaneous renal puncture, the aim is to transfer a planning information to an intraoperative coordinate system. The spatial position of the US slices is measured by localizing a calibrated probe. Our method consists in optimizing a rigid 6 degree of freedom (DOF) transform by evaluating at each step the similarity between the set of US images and the CT volume. The images have been preprocessed in order to increase the relationship between CT and US pixels. Correlation Ratio turned out to be the most accurate and appropriate similarity measure to be used in a Powell-Brent minimization scheme. Results are compared to a standard rigid point-to-point registration involving segmentation, and discussed.

关键词： computerized tomography

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Shape representation via best orthogonal basis selection

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

作者： Mohamed, A Davatzikos, C Johns Hopkins Univ NSF CISST Engn Res CtrDept Comp Sci Baltimore MD 21218 USA Univ Penn Sch Med Dept Radiol Sect Biomed Image Anal Philadelphia PA 19104 USA

ISBN: (纸本)3540229760

We formulate the problem of finding a statistical representation of shape as a best basis selection problem in which the goal is to choose the basis for optimal shape representation from a very large library of bases. In this work, our emphasis is on applying this basis selection framework using the wavelet packets library to estimate the probability density function of a class of shapes from a limited number of training samples. Wavelet packets offer a large number of complete orthonormal bases which can be searched for the basis that optimally allows the analysis of shape details at different scales. The estimated statistical shape distribution is capable of generalizing to shape examples not encountered during training, while still being specific to the modeled class of shapes. Using contours from two-dimensional MRI images of the corpus callosum, we demonstrate the ability of this approach to approximate the probability distribution of the modeled shapes, even with a few training samples.

关键词： image analysis

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Intuitive and efficient control of real-time MRI scan plane using a six-degree-of-freedom hardware Plane Navigator

Intuitive and efficient control of real-time MRI scan plane ...

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

作者： Yi, DR Stainsby, J Wright, G Sunnybrook & Womens Coll Hlth Sci Ctr Toronto ON M4N 3M5 Canada Univ Toronto Dept Med Biophys Toronto ON M4N 3M5 Canada

ISBN: (纸本)3540229779

For applications of real-time MRI, it is important but difficult to efficiently prescribe the next scan plane and obtain visual feedback on the prescription. This work addresses these issues with a 6-degree-of-freedom Plane Navigator. The Plane Navigator is a mechanical arm with integrated input and output functionality while being statically balanced. In the input mode, by holding and moving the surface normal of the physical representation of the scan plane, the operator can intuitively place the scan plane at a position with any orientation within a few milliseconds. In the output mode, the Plane Navigator automatically places the physical representation of the scan plane to reflect its position and orientation (pose)[PR1] relative to a patient domain with a maximum delay of half a second. Application examples in MRI cardiac imaging are also described.

关键词： Magnetic resonance imaging

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image registration by hierarchical matching of local spatial intensity histograms

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

作者： Shen, DG Univ Penn Sch Biomed Image Anal Dept Radiol Philadelphia PA 19104 USA

ISBN: (纸本)3540229760

We previously presented a HAMMER image registration algorithm that demonstrated high accuracy in superposition of images from different individual brains. However, the HAMMER registration algorithm requires presegmentation of brain tissues, since the attribute vectors used to hierarchically match the corresponding pairs of points are defined from the segmented images. In many applications, the segmentation of tissues might be difficult, unreliable or even impossible to complete, which potentially limits the use of the HAMMER algorithm in more generalized applications. To overcome this limitation, we use local spatial intensity histograms to design a new type of attribute vector for each point in an intensity image. The histogram-based attribute vector is rotationally invariant, and more importantly it captures spatial information by integrating a number of local histograms that are calculated from multi-resolution images. The new attribute vectors are able to determine corresponding points across individual images. Therefore, by hierarchically matching new attribute vectors, the proposed registration method performs as successfully as the previous HAMMER algorithm did in registering MR brain images, while providing more general applications in registering images of other organs. Experimental results show good performance of the proposed method in registering MR brain images and CT pelvis images.

关键词： image registration

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Nonrigid image registration using free-form deformations with a local rigidity constraint

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

作者： Loeckx, D Maes, F Vandermeulen, D Suetens, P Univ Hosp Gasthuisberg ESAT PSI Fac Med B-3000 Louvain Belgium Univ Hosp Gasthuisberg Fac Engn B-3000 Louvain Belgium

ISBN: (纸本)3540229760

Voxel-based nonrigid image registration can be formulated as an optimisation problem whose goal is to minimise a cost function, consisting of a first term that characterises the similarity between both images and a second term that regularises the transformation and/or penalties improbable or impossible deformations. Within this paper, we extend previous works on nonrigid image registration by the introduction of a new penalty term that expresses the local rigidity of the deformation. A necessary and sufficient condition for the transformation to be locally rigid at a particular location is that its Jacobian matrix J(T) at this location is orthogonal, satisfying the orthogonality condition J(T)J(T)(T) = 1. So we define the penalty term as the weighted integral of the Frobenius norm of J(T)J(T)(T)-1 integrated over the overlap of the images to be registered. We fit the implementation of the penalty term in a multidimensional, continuous and differentiable B-spline deformation framework and analytically determine the derivative of the similarity criterion and the penalty term with respect to the deformation parameters. We show results of the impact of the proposed rigidity constraint on artificial and clinical images demonstrating local shape preservation with the proposed constraint.

关键词： Deformation

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Mapping template heart models to patient data using image registration

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

作者： Wierzbicki, M Drangova, M Guiraudon, G Peters, T Robarts Res Inst Imaging Res Labs London ON N6A 5K8 Canada Univ Western Ontario Dept Med Biophys London ON N6A 5C1 Canada CSTAR London ON N6A 5A5 Canada

ISBN: (纸本)3540229760

Currently, minimally invasive cardiac surgery (MICS) faces several limitations, including inadequate training methods using non-realistic models, insufficient surgery planning using 2D images, and the lack of global, 3D guidance during the procedure. To address these issues we are developing the Virtual Cardiac Surgery Platform (VCSP) - a virtual reality model of the patient specific thorax, derived from pre-procedural images. Here we present an image registration-based method for customizing a geometrical template model of the heart to any given patient, and validate it using manual segmentation as the gold standard. On average, the process is accurate to within 3.3 +/- 0.3 mm in MR images, and 2.4 +/- 0.3 min in CT images. These results include inaccuracies in the gold standard, which are on average 1.6 +/- 0.2 and 0.9 +/- 0.2 mm for MR and CT images respectively. We believe this method adequately prepares templates for use within VCSP, prior to and during MICS.

关键词： medical imaging

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GIST: an interactive, GPU-based level set segmentation tool for 3D medical images

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medical image ANALYSIS 2004年第3期8卷 217-231页

作者： Cates, JE Lefohn, AE Whitaker, RT Univ Utah Sci Comp & Imaging Inst Salt Lake City UT 84112 USA

While level sets have demonstrated a great potential for 3D medical image segmentation, their usefulness has been limited by two problems. First, 3D level sets are relatively slow to compute. Second, their formulation usually entails several free parameters which can be very difficult to correctly tune for specific applications. The second problem is compounded by the first. This paper describes a new tool for 3D segmentation that addresses these problems by computing level-set surface models at interactive rates. This tool employs two important, novel technologies. First is the mapping of a 3D level-set solver onto a commodity graphics card (GPU). This mapping relies on a novel mechanism for GPU memory management. The interactive rates level-set PDE solver give the user immediate feedback on the parameter settings, and thus users can tune free parameters and control the shape of the model in real time. The second technology is the use of intensity-based speed functions, which allow a user to quickly and intuitively specify the behavior of the deformable model. We have found that the combination of these interactive tools enables users to produce good, reliable segmentations. To support this observation, this paper presents qualitative results from several different datasets as well as a quantitative evaluation from a study of brain tumor segmentations. (C) 2004 Elsevier B.V. All rights reserved.

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A statistically based flow for image segmentation

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medical image ANALYSIS 2004年第3期8卷 267-274页

作者： Pichon, E Tannenbaum, A Kikinis, R Georgia Inst Technol Sch Elect & Comp Engn Atlanta GA 30332 USA Harvard Univ Sch Med Brigham & Womens Hosp Surg Planning Lab Boston MA 02115 USA

In this paper we present a new algorithm for 3D medical image segmentation. The algorithm is versatile, fast, relatively simple to implement, and semi-automatic. It is based on minimizing a global energy defined from a learned non-parametric estimation of the statistics of the region to be segmented. Implementation details are discussed and source code is freely available as part of the 3D Slicer project. In addition, a new unified set of validation metrics is proposed. Results on artificial and real MRI images show that the algorithm performs well on large brain structures both in terms of accuracy and robustness to noise. (C) 2004 Elsevier B.V. All rights reserved.

关键词： medical image segmentation statistics partial differential equation surface evolution validation

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Automated segmentation of the left ventricle in cardiac MRI

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medical image ANALYSIS 2004年第3期8卷 245-254页

作者： Kaus, MR von Berg, J Weese, R Niessen, W Pekar, V Philips Res Labs Sector Tech Syst D-22335 Hamburg Germany Univ Utrecht Ctr Med Image Sci Inst NL-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 121 3D MRI datasets in end-diastolic (end-systolic) phase demonstrates accuracy and robustness, with 2.45 mm (2.84 mm) mean deviation from manual segmentation. (C) 2004 Elsevier B.V. All rights reserved.

关键词： image post-processing segmentation deformable models shape models cardiac MRI

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