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

共 2694 条记录，以下是2531-2540 订阅

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Simulation of intra-operative 3D coronary angiography for enhanced minimally invasive robotic cardiac intervention 5th

引用

5th international conference on medical image computing and computer-assisted intervention, MICCAI 2002

作者： Lehmann, G. Habets, D. Holdsworth, D.W. Peters, T. Drangova, M. The John P Robarts Research Institute The University of Western Ontario and the London Health Sciences Centre LondonON Canada

ISBN: (纸本)3540442251

A simulation environment has been developed to aid the development of three-dimensional (3D) angiographic imaging of the coronary arteries for use during minimally invasive robotic cardiac surgery. We have previously developed a dynamic model of the coronary arteries by non-linearly deforming a high-resolution 3D image of the coronaries of an excised human heart, based on motion information from cine bi-plane angiograms. the result was a sequence of volumetric images representing the motion of the coronary arteries throughout the cardiac cycle. To simulate different acquisition and gating strategies, we implemented an algorithm to forward project through the volume data sets. thus, radiographic projections corresponding to any view-angle, can be produced for any time-point throughout the cardiac cycle. Combining re-projections from selected time-points and view angles enables the evaluation of various gating strategies. this approach will allow us to determine the optimum image acquisition parameters to produce 3D coronary angiograms for planning and guidance of minimally invasive robotic cardiac surgery. © Springer-Verlag Berlin Heidelberg 2002

关键词： Heart

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Combinative multi-scale level set framework for echocardiographic image segmentation 1

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5th international conference on medical image computing and computer-assisted intervention, MICCAI 2002

作者： Lin, Ning Yu, Weichuan Duncan, James S. Department of Electrical Engineering Yale University PO Box 208042 New HavenCT06520-8042 United States Department of Diagnostic Radiology Yale University PO Box 208042 New HavenCT06520-8042 United States

ISBN: (数字)9783540457862

ISBN: (纸本)9783540457862

In the automatic segmentation of echocardiographic images, a priori shape knowledge is used to compensate poor features in ultrasound images. the shape knowledge is often learned via off-line training process, which requires tedious human effort and is unavoidably expertise-dependent. More importantly, a learned shape template can only be used to segment a specific class of images with similar boundary shapes. In this paper, we present a multi-scale level set framework for echo image segmentation. We extract echo image boundaries automatically at a very coarse scale. these boundaries are then not only used as boundary initials at finer scales, but also as an external constraint to guide contour evolutions. this constraint functions similar to a traditional shape prior. Experimental results validate this combinative framework. © Springer-Verlag Berlin Heidelberg 2002.

关键词： image segmentation

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A motion adaptable needle placement instrument based on tumor specific ultrasonic image segmentation 1

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5th international conference on medical image computing and computer-assisted intervention, MICCAI 2002

作者： Hong, Jae-Sung Dohi, Takeyoshi Hasizume, Makoto Konishi, Kozo Hata, Nobuhiko Environmental Studies Graduate School of Frontier Sciences The University of Tokyo 7-3-1 Hongo Bunkyo-kuTokyo113-8654 Japan Mechano-informatics Graduate School of Information Science and Technology The University of Tokyo 7-3-1 Hongo Bunkyo-kuTokyo113-8654 Japan Disaster and Emergency Medical Graduate School of Medical Sciences Kyushu University Maidashi 3-1-1 Higashi-kuFukuoka812-8582 Japan

ISBN: (数字)9783540457862

ISBN: (纸本)9783540457862

this paper suggests an ultrasound guided needle insertion instrument which can track target motion in real-time. Under traditional ultrasound guided needle insertion therapies, surgeons have had much burden to find out the precise targeting position, particularly when the organ is moving due to the respiration or heartbeat. We developed a new needle insertion instrument which can track moving target based on visual servo control. In addition, this paper proposed a tumor specific active contour model which can conduct a fast and robust segmentation for tumor, and utilized Hough transform for needle recognition. In the experiment, the proposed system could track a moving phantom successfully at speed of 3 frames/sec processing. © Springer-Verlag Berlin Heidelberg 2002.

关键词： Tumors

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Discriminative analysis for image-based studies 1

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5th international conference on medical image computing and computer-assisted intervention, MICCAI 2002

作者： Golland, Polina Fischl, Bruce Spiridon, Mona Kanwisher, Nancy Buckner, Randy L. Shenton, Martha E. Kikinis, Ron Dale, Anders Grimson, W. Eric L. Artificial Intelligence Laboratory Massachusetts Institute of Technology CambridgeMA United States Athinoula A. Martinos Center for Biomedical Imaging Massachusetts General Hospital Harvard Medical School BostonMA United States Department of Brain and Cognitive Sciences Massachusetts Institute of Technology CambridgeMA United States Departments of Psychology Anatomy and Neurobiology and Radiology Washington University and Howard Hughes Medical Institute St. LouisMO United States Laboratory of Neuroscience Clinical Neuroscience Division Department of Psychiatry VAMC-Brockton Harvard Medical School BrocktonMA United States Surgical Planning Laboratory Brigham and Women’s Hospital Harvard Medical School BostonMA United States

ISBN: (数字)9783540457862

ISBN: (纸本)9783540457862

In this paper, we present a methodology for performing statistical analysis for image-based studies of differences between populations and describe our experience applying the technique in several different population comparison experiments. Unlike traditional analysis tools, we consider all features simultaneously, thus accounting for potential correlations between the features. the result of the analysis is a classifier function that can be used for labeling new examples and a map over the original features indicating the degree to which each feature participates in estimating the label for any given example. Our experiments include shape analysis of subcortical structures in schizophrenia, cortical thinning in healthy aging and Alzheimer’s disease and comparisons of fMRI activations in response to different visual stimuli. © Springer-Verlag Berlin Heidelberg 2002.

关键词： Population statistics

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3D ultrasound system using a magneto-optic hybrid tracker for augmented reality visualization in laparoscopic liver surgery 5th

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5th international conference on medical image computing and computer-assisted intervention, MICCAI 2002

作者： Nakamoto, Masahiko Sato, Yoshinobu Miyamoto, Masaki Nakamjima, Yoshikazu Konishi, Kozo Shimada, Mitsuo Hashizume, Makoto Tamura, Shinichi Division of Interdisciplinary Image Analysis Osaka University Graduate School of Medicine Japan Department of Disaster and Emergency Medicine Graduate School of Medical Science Kyushu University Japan Department of Surgery II Graduate School of Medical Science Kyushu University Japan

ISBN: (纸本)3540442251

A three-dimensional ultrasound (3D-US) system suitable for laparoscopic surgery that uses a novel magneto-optic hybrid tracker configuration. Our aim is to integrate 3D-US into a laparoscopic AR system. A 5D miniature magnetic tracker is combined with a 6D optical tracker outside the body to perform 6D tracking of a flexible US probe tip in the abdominal cavity. 6D tracking parameters at the tip are obtained by combining the 5D parameters at the tip inside the body, the 6D parameters at the US probe handle outside the body, and the restriction of the tip motion relative to the handle. the system was evaluated in comparison with a conventional 3D ultrasound system. Although the accuracy of the proposed system was somewhat inferior to that of the conventional one, both the accuracy and sweet spot area were found to be acceptable for clinical use. © Springer-Verlag Berlin Heidelberg 2002.

关键词： Augmented reality

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Transrectal prostate biopsy inside closed mri scanner with remote actuation, under real-time image guidance 1

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5th international conference on medical image computing and computer-assisted intervention, MICCAI 2002

作者： Fichtinger, Gabor Krieger, Axel Susil, Robert C. Tanacs, Attila Whitcomb, Louis L. Atalar, Ergin Engineering Research Center Johns Hopkins University BaltimoreMD United States Department of Radiology Johns Hopkins University BaltimoreMD United States Dept. of Biomedical Engineering Johns Hopkins University BaltimoreMD United States Department of Mechanical Engineering Johns Hopkins Univ BaltimoreMD United States

ISBN: (数字)9783540457862

ISBN: (纸本)9783540457862

We present the proof-of-concept prototype of a prostate biopsy robot to be used inside a conventional high-field MRI scanner. A three degree-offreedom (DOF) mechanical device translates and rotates inside the rectum and enters a needle into the body, and steers the needle to a target point pre-selected by the user. the device is guided by real-time images from the scanner. Networked computers process the medical images and enable the clinician to control the motion of the mechanical device that is operated remotely from outside the imager. the system is also applicable to localized prostate therapy and also demonstrates potential in other intra-cavitary procedures. © Springer-Verlag Berlin Heidelberg 2002.

关键词： Needles

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Validation of image segmentation and expert quality with an expectation-maximization algorithm 1

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5th international conference on medical image computing and computer-assisted intervention, MICCAI 2002

作者： Warfield, Simon K. Zou, Kelly H. Wells, William M. Computational Radiology Laboratory and Surgical Planning Laboratory Harvard Medical School and Brigham and Women’s Hospital 75 Francis St. BostonMA02115 United States

ISBN: (数字)9783540457862

ISBN: (纸本)9783540457862

Characterizing the performance of image segmentation approaches has been a persistent challenge. Performance analysis is important since segmentation algorithms often have limited accuracy and precision. Interactive drawing of the desired segmentation by domain experts has often been the only acceptable approach, and yet suffers from intra-expert and inter-expert variability. Automated algorithms have been sought in order to remove the variability introduced by experts, but no single methodology for the assessment and validation of such algorithms has yet been widely adopted. the accuracy of segmentations of medical images has been difficult to quantify in the absence of a "ground truth" segmentation for clinical data. Although physical or digital phantoms can help, they have so far been unable to reproduce the full range of imaging and anatomical characteristics observed in clinical data. An attractive alternative is comparison to a collection of segmentations by experts, but the most appropriate way to compare segmentations has been unclear. We present here an Expectation-Maximization algorithm for computing a probabilistic estimate of the "ground truth" segmentation from a group of expert segmentations, and a simultaneous measure of the quality of each expert. this approach readily enables the assessment of an automated image segmentation algorithm, and direct comparison of expert and algorithm performance. © Springer-Verlag Berlin Heidelberg 2002.

关键词： image segmentation

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A novel image similarity measure for registration of 3-D MR images and X-ray projection images 5th

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5th international conference on medical image computing and computer-assisted intervention, MICCAI 2002

作者： Rohlfing, Torsten Maurer, Calvin R. Image Guidance Laboratories Department of Neurosurgery Stanford University 300 Pasteur Drive MC 5327 StanfordCA94305-5327 United States

ISBN: (纸本)3540442251

Most existing methods for registration of three-dimensional tomographic images to two-dimensional projection images use simulated projection images and either intensity-based or feature-based image similarity measures. this paper suggests a novel class of similarity measures based on probabilities. We compute intensity distributions along simulated rays through the 3-D image rather than ray sums. Using a finite state machine, we eliminate background voxels from the 3-D image while preserving voxels from air filled cavities and other low-intensity regions that are part of the imaged object (e.g., bone in MRI). the resulting tissue distributions along all rays are compared to the corresponding pixel intensities of the real projection image by means of a probabilistic extension of histogram-based similarity measures such as (normalized) mutual information. Because our method does not compute ray sums, its application, unlike DRR-based methods, is not limited to X-ray CT images. In the present paper, we show the ability of our similarity measure to successfully identify the correct position of an MR image with respect to a set of orthogonal DRRs computed from a co-registered CT image. In an initial evaluation, we demonstrate that the capture range of our similarity measure is approximately 40mm with an accuracy of approximately 4 mm. © Springer-Verlag Berlin Heidelberg 2002.

关键词： Magnetic resonance imaging

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引用

5th international conference on medical image computing and computer-assisted intervention, MICCAI 2002

作者： Masumoto, Jun Sato, Yoshinobu Hori, Masatoshi Murakami, Takamichi Johkoh, Takeshi Nakamura, Hironobu Tamura, Shinichi Division of Interdisciplinary Image Analysis SuitaOsaka565–0871 Japan Department of Radiology Osaka University Graduate School of Medicine SuitaOsaka565–0871 Japan

ISBN: (纸本)3540442251

A new similarity measure for volume registration is proposed, which uses using the assumption that the joint distribution of a target tissue is known. this similarity measure is designed so that it can deal with the tissue slide that occurs at boundaries between the target tissue and other tissues. Pre-segmentation of the target tissue is unnecessary. We intend to apply the proposed measure to registering volumes acquired at different time-phases in dynamic CT scans of the liver using contrast materials. In order to derive the similarity measure, we first formulate the ideal case where the joint distributions of all the tissues are known, after which we derive the measure for a realistic case where only the joint distribution of the target tissue is *** applied the proposed measure experimentally to eight dynamic CT data sets of the liver. After describing a practical method for estimating the joint distribution of the liver from real CT data, we show that the problem of tissue slide is effectively dealt with using the proposed measure. © Springer-Verlag Berlin Heidelberg 2002.

关键词： Tissue

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Preoperative analysis of optimal imaging orientation in fluoroscopy for voxel-based 2-D/3-D registration 5th

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5th international conference on medical image computing and computer-assisted intervention, MICCAI 2002

作者： Nakajima, Yoshikazu Tamura, Yuichi Sato, Yoshinobu Tashiro, Takahito Sugano, Nobuhiko Yonenobu, Kazuo Yoshikawa, Hideki Ochi, Takahiro Tamura, Shinichi Division of Interdisciplinary Image Analysis Osaka University Graduate School of Medicine SuitaOsaka565-0871 Japan Division of Computer Integrated Orthopaedic Surgery Osaka University Graduate School of Medicine SuitaOsaka565-0871 Japan Department of Orthopaedic Surgery Osaka University Graduate School of Medicine SuitaOsaka565-0871 Japan Osaka Minami National Hospital KawachinaganoOsaka586-8521 Japan

ISBN: (纸本)3540442251

We have developed a system for the 3-D localization of anatomical structures without the need for surgical exposure by using multiple-view fluoroscopy images. In this paper, we describe the system and evaluate its application to the estimation of optimal imaging orientations in fluoroscopy. For positional measurement, a voxel-based 2-D/3-D registration technique was employed. Since the measurement condition depends on the object shape, spatial distribution of X-ray absorption, and overlap of organs or structures (which differs at each imaging position), determining the optimal combination of fluoroscopy orientations is significant. We propose a system for preoperative determination of the optimal imaging orentation by using the accuracy estimation of stereo localization from single-plane localization results. In an experiment, the computation time needed was 10 hours, which was about 14 times shorter than the time required for a full search of imaging orientation combinations. © Springer-Verlag Berlin Heidelberg 2002.

关键词： X ray absorption

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