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检索条件"任意字段=8th International Conference on Medical Image Computing and Computer-Assisted Intervention"

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

引用

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: (纸本)3540204644

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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Generalized image models and their application as statistical models of images

引用

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

作者： Ballester, Miguel Ángel González Pennec, Xavier Ayache, Nicholas Epidaure Project INRIA Sophia Antipolis France

ISBN: (纸本)3540204644

A generalized image model (GIM) is presented. images are represented as sets of 4-dimensional sites combining position and intensity information, as well as their associated uncertainty and joint variation. this model seamlessly allows for the representation of both images and statistical models, as well as other representations such as landmarks or meshes. A GIM-based registration method aimed at the construction and application of statistical models of images is proposed. A procedure based on the iterative closest point (ICP) algorithm is modified to deal with features other than position and to integrate statistical information. Furthermore, we modify the ICP framework by using a Kalman filter to efficiently compute the transformation. the initialization and update of the statistical model are also described. © Springer-Verlag Berlin Heidelberg 2003.

关键词： Iterative methods

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Model-updated image guidance: A statistical approach to gravity-induced brain shift

Model-updated image guidance: A statistical approach to grav...

引用

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

作者： Dumpuri, Prashanth Miga, Michael I. Vanderbilt University Department of Biomedical Engineering Nashville TN 37235

Compensating for intraoperative brain shift using computational models has been used with promising results. Since computational time is an important factor during neurosurgery, a prior knowledge of a patient's orientation and changes in tissue buoyancy force would be valuable information to aid in predicting shift due to gravitational forces. Since the latter is difficult to quantify intraoperatively, a statistical model for predicting intraoperative brain deformations due to gravity is reported. this statistical model builds on a computational model developed earlier. For a given set of patient's orientation and amount of CSF drainage, the intraoperative brain shift is calculated using the computational model. these displacements are then validated against measured displacements to predict the intraoperative brain shift. though initial results are promising, further study is needed before the statistical model can be used for model-updated image-guided surgery.

关键词： Brain

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Optic flow computation from cardiac MR tagging using a multiscale differential method a comparative study with velocity-encoded MRI

Optic flow computation from cardiac MR tagging using a multi...

引用

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

作者： Suinesiaputra, A. Florack, L.M.J. Westenberg, J.J.M. Ter Haar Romeny, B.M. Reiber, J.H.C. Lelieveldt, B.P.F. Division of Image Processing Department of Radiology Leiden University Medical Center Leiden Netherlands Div. of Biomedical Image Analysis Department of Biomedical Engineering Eindhoven University of Technology Eindhoven Netherlands

the computation of an optic flow field to reconstruct a dense velocity field from a sequence of tagged MR images faces a major difficulty: a non-constant pixel intensity. In this paper, we resolved this problem by regarding the MRI sequence as density images, which adhere to a principle of conservation of intensity. Based on this principle, optic flow equations are developed based on Gaussian derivatives as differential operators. the multiscale optic flow method is applied to cardiac tagged MRI. A quantitative analysis is presented comparing the reconstructed dense velocity field with a directly acquired velocity field using the velocity-encoded (VEC) MRI.

关键词： Cardiology

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Non-rigid registration of 3D ultrasound images of brain tumours acquired during neurosurgery

引用

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

作者： Letteboer, Marloes M. J. Willems, Peter W. A. Viergever, Max A. Niessen, Wiro J. Image Sciences Institute University Medical Center Utrecht Netherlands Department of Neurosurgery University Medical Center Utrecht Netherlands

ISBN: (纸本)3540204644

Intraoperative brain deformation is one of the most contributing factors to the inaccuracy of image-guided neurosurgery systems. One option for correcting for this deformation is to acquire 3D ultrasound images during surgery and use these to update the information provided by the preoperatively acquired MR. To compare ultrasound volumes at different stages of surgery, non-rigid registration techniques are necessary. We present the results of applying a non-rigid registration algorithm, based on free-form deformations using B-splines and using normalized mutual information as a similarity measure, to 3D ultrasound volumes of two patients with brain tumours. For these two patients we registered an ultrasound volume acquired prior to opening the dura with an ultrasound volume acquired after opening the dura, but prior to surgery. When comparing the segmented tumours after affine registration plus free-form registration with a control point spacing of 4 mm to the segmented tumour volumes after registration with the image-guided surgery system, the volume overlap increased from approximately 76% to 96% for both patients. © Springer-Verlag Berlin Heidelberg 2003.

关键词： Neurosurgery

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

引用

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

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

引用

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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Medially based meshing with finite element analysis of prostate deformation

Medially based meshing with finite element analysis of prost...

引用

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

作者： Crouch, Jessica R. Pizer, Stephen M. Chaney, Edward L. Zaider, Marco Med. Image Display and Anal. Group University of North Carolina Chapel Hill Mem. Sloan-Kettering Cancer Center

the finite element method (FEM) is well suited for use in the non-rigid registration of magnetic resonance spectroscopy images (MRSI) with intraoperative ultrasound images of the prostate because FEM provides a principled method for modeling the physical deformation caused when the MRSI intra-rectal imaging probe compresses the prostate. However, FEM requires significant labor and computational time to construct a finite element model and solve the resulting large system of equations. In particular, any finite element based registration method must address the questions of how to generate a mesh from an image and how to solve the system of finite element equations efficiently, this paper focuses on how m-rep image segmentations can be used to generate high quality multi-scale hexahedral meshes for use with FEM. Results from the application of this method to the registration of CT images of a prostate phantom with implanted brachytherapy seeds are presented.

关键词： Nuclear magnetic resonance spectroscopy

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the creation of a brain atlas for image guided neurosurgery using serial histological data

The creation of a brain atlas for image guided neurosurgery ...

引用

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

作者： Chakravarty, M. Mallar Bertrand, Gilles Descouteaux, Maxime Sadikot, Abbas F. Collins, D. Louis Montreal Neurological Institute McGill University Montreal Canada Center for Intelligent Machines McGill University Montreal Canada Division of Neurosurgery McGill University Montreal Canada

Digital atlases of the human brain can help in the specific localization of structures of surgical relevance and interest in image Guided Neurosurgery (IGNS). this paper outlines one of the steps in the creation of a digital atlas intended for IGNS, using histological data. the acquisition of histological data can include artefacts such as tearing, shearing, stretching, shrinking, as well as inhomogeneous staining leading to structural inhomogeneities. these inconsistencies are reduced using a non-linear intensity based registration procedure where deformations are defined using a maximized correlation coefficient estimate. the intensity artefacts brought about by inhomogeneous staining are reduced by applying a slice to slice intensity inhomogeneity correction by modelling the intensity mapping between slices as a third order polynomial that is estimated with a Least Trimmed Squared fit. the lateral ventricle was then segmented and to demonstrate increased smoothing along its surface.

关键词： Brain

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3D automated lung nodule segmentation in HRCT

3D automated lung nodule segmentation in HRCT

引用

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

作者： Fetita, Catalin I. Prêteux, Françoise Beigelman-Aubry, Catherine Grenier, Philippe ARTEMIS Project Unit INT Grp. des Ecoles des Telecom. 9 rue Charles Fourier 91011 Evry Cedex France Central Radiology Service Pitie Salpetriere Hosp. 47-83 boulevard de l'Hôpital 75651 Paris Cedex 13

A fully-automated 3D image analysis method is proposed to segment lung nodules in HRCT. A specific gray-level mathematical morphology operator, the SMDC-connection cost, acting in the 3D space of the thorax volume is defined in order to discriminate lung nodules from other dense (vascular) structures. Applied to clinical data concerning patients with pulmonary carcinoma, the proposed method detects isolated, juxtavascular and peripheral nodules with sizes ranging from 2 to 20 mm diameter. the segmentation accuracy was objectively evaluated on real and simulated nodules. the method showed a sensitivity and a specificity ranging from 85% to 97% and from 90% to 98%, respectively.

关键词： image segmentation

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