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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3601-3610 订阅

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Bite-block relocation error in image-guided otologic surgery

Bite-block relocation error in image-guided otologic surgery

引用

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

作者： Michael Fitzpatrick, J. Balachandran, Ramya Labadie, Robert F. Department of Electrical Engineering and Computer Science Vanderbilt University NashvilleTN37212 United States Department of Otolaryngology-Head and Neck Surgery Vanderbilt University Medical Center NashvilleTN37232 United States

ISBN: (纸本)3540229779

Otologic surgery is undertaken to treat ailments of the ear including persistent infections, hearing loss, vertigo, and cancer. Typically performed on healthy patients in outpatient facilities, the application of image-guided surgery has been limited because accurate (1mm), non-invasive fiducial systems for otologic surgery are not available. We have developed such a system, which repeatably attaches to a subject via a dental bite block [1]. In a previous report, ex-vivo validation indicated that mean target registration error ± standard deviation for 234 targets within the surgical field was 0.73±0.23mm with a root mean square of 0.77mm [2,3]. In an effort to further understand the limitations of our system, we undertook, and report herein, a detailed error analysis to determine what portion of the error is attributable to the inaccuracies in relocation fit of the fiducial frame to a subject’s dentition. Our analysis shows that the root-mean-square error due to relocation alone is approximately 0.66 mm, while that due to fiducial registration is approximately 0.30 mm. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Errors

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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

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

作者： Chien, Aichi Paul Finn, J. Montemagno, Carlo D. Dept. of Biomedical Engineering University of California Los AngelesCA90095 United States Dept. of Radiological Sciences University of California Los AngelesCA90095 United States

ISBN: (纸本)3540229779

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： Finite element method

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Pulmonary micronodule detection from 3D chest CT

Pulmonary micronodule detection from 3D chest CT

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

作者： Chang, Sukmoon Emoto, Hirosh Metaxas, Dimitris N. Axel, Leon Center for CBIM Rutgers University PiscatawayNJ United States Computer Science Penn State Capital College MiddletownPA United States National Institute of Information and Communications Technology Tokyo Japan Department of Radiology New York University New YorkNY United States

ISBN: (纸本)3540229779

Computed Tomography (CT) is one of the most sensitive medical imaging modalities for detecting pulmonary nodules. Its high contrast resolution allows the detection of small nodules and thus lung cancer at a very early stage. In this paper, we propose a method for automating nodule detection from high-resolution chest CT images. Our method focuses on the detection of discrete types of granulomatous nodules less than 5mm in size using a series of 3D filters. Pulmonary nodules can be anywhere inside the lung, e.g., on lung walls, near vessels, or they may even be penetrated by vessels. For this reason, we first develop a new cylinder filter to suppress vessels and noise. Although nodules usually have higher intensity values than surrounding regions, many malignant nodules are of low contrast. In order not to ignore low contrast nodules, we develop a spherical filter to further enhance nodule intensity values, which is a novel 3D extension of Variable N-Quoit filter. As with most automatic nodule detection methods, our method generates false positive nodules. To address this, we also develop a filter for false positive elimination. Finally, we present promising results of applying our method to various clinical chest CT datasets with over 90% detection rate. © Springer-Verlag Berlin Heidelberg 2004.

关键词： medical imaging

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Using a maximum uncertainty LDA-based approach to classify and analyse MR brain images

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

作者： Thomaz, Carlos E. Boardman, James P. Hill, Derek L.G. Hajnal, Jo V. Edwards, David D. Rutherford, Mary A. Gillies, Duncan F. Rueckert, Daniel Department of Computing Imperial College London United Kingdom Imaging Sciences Department Imperial College London United Kingdom Division of Imaging Sciences King's College London United Kingdom Division of Paediatrics Obstetrics and Gynaecology Imperial College London United Kingdom

ISBN: (纸本)3540229760

Multivariate statistical learning techniques that analyse all voxels simultaneously have been used to classify and describe MR brain images. Most of these techniques have overcome the difficulty of dealing with the inherent high dimensionality of 3D brain image data by using pre-processed segmented images or a number of specific features. However, an intuitive way of mapping the classification results back into the original image domain for further interpretation remains challenging. In this paper, we introduce the idea of using Principal Components Analysis (PCA) plus the maximum uncertainty Linear Discriminant Analysis (LDA) based approach to classify and analyse magnetic resonance (MR) images of the brain. It avoids the computation costs inherent in commonly used optimisation processes, resulting in a simple and efficient implementation for the maximisation and interpretation of the Fisher’s classification results. In order to demonstrate the effectiveness of the approach, we have used two MR brain data sets. The first contains images of 17 schizophrenic patients and 5 controls, and the second is composed of brain images of 12 preterm infants at term equivalent age and 12 term controls. The results indicate that the two-stage linear classifier not only makes clear the statistical differences between the control and patient samples, but also provides a simple method of analysing the results for further medical research. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Magnetic resonance

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Multi-phase three-dimensional level set segmentation of brain MRI

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

作者： Angelini, Elsa D. Song, Ting Mensh, Brett D. Laine, Andrew Ecole Nationale Supérieure des Télécommunications Département Traitement du Signal et des Images 46 rue Barrault 75013 Paris France Columbia University Heffner Biomedical Imaging Laboratory Department of Biomedical Engineering 1210 Amsterdam Avenue New York NY 10027 United States Columbia University Department of Biological Phsychiatry College of Physicians and Surgeons New York NY 10032 United States

ISBN: (纸本)3540229760

This paper presents the implementation and quantitative evaluation of a four-phase three-dimensional active contour implemented with a level set framework for automated segmentation of cortical structures on brain T1 MRI images. The segmentation algorithm performed an optimal partitioning of three-dimensional data based on homogeneity measures that naturally evolves to the extraction of different tissue types in the brain. Random seed initialization was used to speed up numerical computation and avoid the need for a priori information. A simple post-processing, based on morphological operators, was applied to correct for segmentation artifacts. The segmentation method was tested on ten MRI brain data sets and quantitative evaluation was performed by comparison to manually labeled data, Computation of false positive and false negative assignments of voxels for white matter, gray matter and cerebrospinal fluid were performed. Results reported high accuracy of the segmentation methods, demonstrating the efficiency and flexibility of the multi-phase level set segmentation framework to perform the challenging task of automatically extracting cortical brain tissue volume contours. © Springer-Verlag Berlin Heidelberg 2004.

关键词： image segmentation

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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...

引用

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

作者： Chan, C. Barratt, D.C. Edwards1, 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

ISBN: (纸本)3540229779

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 intraoperative 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： Ultrasonics

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Quantification of delayed enhancement MR images

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

作者： Dikici, Engin O’Donnell, Thomas Setser, Randolph White, Richard D. Siemens Corp Research 755 College Rd East PrincetonNJ08540 United States Cleveland Clinic Foundation 9500 Euclid Ave ClevelandOH44195 United States

ISBN: (纸本)3540229760

Delayed Enhancement MR is an imaging technique by which nonviable (dead) myocardial tissues appear with increased signal intensity. The extent of non-viable tissue in the left ventricle (LV) of the heart is a direct indicator of patient survival rate. In this paper we propose a two-stage method for quantifying the extent of non-viable tissue. First, we segment the myocardium in the DEMR images. Then, we classify the myocardial pixels as corresponding to viable or non-viable tissue. Segmentation of the myocardium is challenging because we cannot reliably predict its intensity characteristics. Worse, it may be impossible to distinguish the infracted tissues from the ventricular blood pool. Therefore, we make use of MR Cine images acquired in the same session (in which the myocardium has a more predictable appearance) in order to create a prior model of the myocardial borders. Using image features in the DEMR images and this prior we are able to segment the myocardium consistently. In the second stage of processing, we employ a Support Vector Machine to distinguish viable from non-viable pixels based on training from an expert. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Tissue

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Functional brain image analysis using joint function-structure priors

Functional brain image analysis using joint function-structu...

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

作者： Yang, Jing Papademetris, Xenophon Staib, Lawrence H. Schultz, Robert T. Duncan, James S. Departments of Electrical Engineering Yale University P.O. Box 208042 New Haven CT 06520-8042 United States Diagnostic Radiology Yale University P.O. Box 208042 New Haven CT 06520-8042 United States Child Study Center Yale University P.O. Box 208042 New Haven CT 06520-8042 United States

ISBN: (纸本)3540229779

We propose a new method for context-driven analysis of functional magnetic resonance images (fMRI) that incorporates spatial relationships between functional parameter clusters and anatomical structure directly for the first time. We design a parametric scheme that relates functional and structural spatially-compact regions in a single unified manner. Our method is motivated by the fact that the fMRI and anatomical MRI (aMRI) have consistent relations that provide configurations and context that aid in fMRI analysis. We develop a statistical decision-making strategy to estimate new fMRI parameter images (based on a General Linear Model-GLM) and spatially-clustered zones within these images. The analysis is based on the time-series data and contextual information related to appropriate spatial grouping of parameters in the functional data and the relationship of this grouping to relevant gray matter structure from the anatomical data. We introduce a representation for the joint prior of the functional and structural information, and define a joint probability distribution over the variations of functional clusters and the related structure contained in a set of training images. We estimate the Maximum A Posteriori (MAP) functional parameters, formulating the function-structure model in terms of level set functions. Results from 3D fMRI and aMRI show that this context-driven analysis potentially extracts more meaningful information than the standard GLM approach. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Magnetic resonance imaging

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Determination of aortic distensibility using non-rigid registration of cine MR images

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

作者： Lorenzo-Valdés, Maria Sanchez-Ortiz, Gerardo I. Bogren, Hugo Mohiaddin, Raad Rueckert, Daniel Visual Information Processing Group Department of Computing Imperial College London 180 Queen’s Gate LondonSW7 2BZ United Kingdom Royal Brompton and Harefield NHS Trust Sydney Street London United Kingdom

ISBN: (纸本)3540229760

A novel method for the estimation of areas in 2D MR images of the aorta is presented. The method uses spatio-temporal non-rigid registration in order to obtain the 2D deformation fields of the vessels during the cardiac cycle. This is accomplished by aligning all time frames in the image sequence simultaneously to the first one. The determinant of the Jacobian of the 2D deformation fields are then computed to obtain the expansion (or contraction) at each time frame, with respect to the first time frame. By using 3D splines, the method exploits the relation between time frames in order to obtain continuous and smooth distensibility measurements throughout the cardiac cycle. Validation was carried out with MR images of the aorta. Experiments for the registration and estimation of areas in the aorta are presented in 60 data sets corresponding to three different sections of the aorta (proximal, mid and distal) in 20 different subjects, where each set consisted of 17 to 38 time frames. Manually estimated areas are compared to the areas estimated automatically in 8 data sets where the average error is 2.3% of the area manually obtained. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Deformation

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Burncase 3D - Realistic adaptation of 3-dimensional human body models

Burncase 3D - Realistic adaptation of 3-dimensional human bo...

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

作者： Dirnberger, Johannes Giretzlehner, Michael Luckeneder, Thomas Siegl, Doris Haller, Herbert L. Rodemund, Christian Upper Austrian Research Dept. Medical Informatics Australia AUVA Unfallkrankenhaus Linz Australia

ISBN: (纸本)3540229779

This paper presents the results of the research project BurnCase in the field of realistic and anatomically correct deformations of 3D models of the human body. The project goal is to develop a software system named BurnCase 3D, which supports and enhances the documentation and diagnosis of human burn injuries. The medical treatment of burn victims strongly depends on size, depth, degree and location of the burnt skin. The size of the affected region is usually expressed as a percentage of the total body surface area (TBSA). Standardized 2D charts (e.g. Lund and Browder, Rule-Of-Nines, etc.) help to determine the percentage of the burnt surface area in relation to the total body surface area. However, body proportions highly influence the distribution of body surface area along the body [Livingston and Lee, 2000]. Thus, standard charts can only give rough approximations of the burnt surface area compared to the real size of an injury on a specific patient. The software system BurnCase 3D will enhance this commonly applied 2D approximation process by introducing a 3D model of the patient’s body. This 3D model provides a higher accordance to the real patient’s surface area than any 2D chart does and allows determining the burnt surface areas more exactly. BurnCase 3D is based on an extendable library of currently 7 standard models representing different sex, age and body shape. In order to meet the physical constitution of the real patient, the best fitting model is chosen and has to be adapted according to the patient’s height and weight. There exist several possibilities of adapting a 3D model to these parameters. This paper describes the three methods of body adaptations that are realized in the software system BurnCase 3D based on the thesis of Doris Siegl ([Siegl, 2003]). © Springer-Verlag Berlin Heidelberg 2004.

关键词： Diagnosis

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