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检索条件"任意字段=5th International Conference on Medical Image Computing and Computer-Assisted Intervention"

共 2882 条记录，以下是2661-2670 订阅

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Episode classification for the analysis of tissue/instrument interaction with multiple visual cues

Episode classification for the analysis of tissue/instrument...

引用

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

作者： Lo, Benny P. L. Darzi, Ara Yang, Guang-Zhong Royal Society Wolfson Med. Image Comp. Laboratory Imperial College London London United Kingdom

the assessment of surgical skills for Minimally Invasive Surgery (MIS) has traditionally been conducted with visual observation and objective scoring. this paper presents a practical framework for the detection of instrument/tissue interaction from MIS video sequences by incorporating multiple visual cues. the proposed technique investigates the characteristics of four major events involved in MIS procedures including idle, retraction, cauterisation and suturing. Constant instrument tracking is maintained and multiple visual cues related to shape, deformation, changes in light reflection and other low level images featured are combined in a Bayesian framework to achieve an overall frame-by-frame classification accuracy of 77% and episode classification accuracy of 85%.

关键词： Surgery

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Non-rigid registration of 3D ultrasound images of brain tumours acquired during neurosurgery 1

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: (数字)9783540399032

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

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: (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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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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Generalized image models and their application as statistical models of images 1

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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: (数字)9783540399032

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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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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image registration and fusion for interventional MRI guided thermal ablation of the prostate cancer 1

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

作者： Fei, Baowei Lee, Zhenghong Boll, Daniel T. Duerk, Jeffery L. Lewin, Jonathan S. Wilson, David L. Department of Biomedical Engineering Case Western Reserve University Cleveland OH 44106 United States Department of Radiology University Hospitals of Cleveland Cleveland OH 44106 United States Department of Oncology University Hospitals of Cleveland OH 44106 United States

ISBN: (数字)9783540399032

ISBN: (纸本)9783540204640

We are investigating interventional MRI (iMRI) guided thermal ablation treatment of the prostate cancer. Functional images such as SPECT can detect and localize tumor in the prostate not reliably seen in MRI. We intend to combine the advantages of SPECT with iMRI-guided treatments. Our concept is to first register the low-resolution SPECT with a high resolution MRI volume. then by registering the high-resolution MR image with iMRI acquisitions, we can, in turn, map the functional data and high-resolution anatomic information to iMRI images for improved tumor targeting. For the first step, we used a mutual information registration method. For the latter, we developed a robust slice to volume (SV) registration algorithm. image data were acquired from patients and volunteers. Compared to our volume-to-volume registration that was previously evaluated to be quite accurate, the SV registration accuracy is about 0.5 mm for transverse images covering the prostate. With our image registration and fusion software, simulation experiments show that it is feasible to incorporate SPECT and high resolution MRI into the iMRI-guided treatment.

关键词： Magnetic resonance imaging

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