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Robust generalized total least squares iterative closest point registration

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

作者： Estápar, Raál San Josá Brun, Anders Westin, Carl-Fredrik Laboratory of Mathematics in Imaging Brigham and Women's Hospital Harvard Medical School Boston MA United States Department of Biomedical Engineering Linköping University Sweden

ISBN: (纸本)3540229760

this paper investigates the use of a total least squares approach in a generalization of the iterative closest point (ICP) algorithm for shape registration. A new Generalized Total Least Squares (GTLS) formulation of the minimization process is presented opposed to the traditional Least Squares (LS) technique. Accounting for uncertainty both in the target and in the source models will lead to a more robust estimation of the transformation. Robustness against outliers is guaranteed by an iterative scheme to update the noise covariances. Experimental results show that this generalization is superior to the least squares counterpart. © Springer-Verlag Berlin Heidelberg 2004.

关键词： image processing

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three-dimensional shape-motion analysis of the left anterior descending coronary artery in EBCT images

Three-dimensional shape-motion analysis of the left anterior...

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

作者： Kakadiaris, Ioannis A. Pednekar, Amol Santamariáa-Pang, Alberto Visual Computing Lab. Dept. of Computer Science Univ. of Houston Houston TX United States

ISBN: (纸本)3540229779

In this paper, we present a physics-based deformable model framework for the quantification of shape and motion parameters of the Left Anterior Descending (LAD) coronary artery in the heart's local frame of reference. We define the long-axis of the heart as the local frame of reference. the shape of the LAD is modeled as a parametric curved axis with Frenet-Serret frame. the motion of the LAD (due to heart motion) is modeled as a composite of primitive shape-motion components: 1) longitudinal elongation, 2) radial displacement, and 3) twist with respect to the heart's local frame of reference. the three-dimensional shape-motion components are parameterized along the LAD's length. Results from simulated data and three asymptomatic subjects' Electron Beam Computed Tomography (EBCT) data are in agreement with the expected physiological trends. © Springer-Verlag Berlin Heidelberg 2004.

关键词： image analysis

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Simultaneous boundary and partial volume estimation in medical images

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

作者： Pham, Dzung L. Bazin, Pierre-Louis Laboratory of Medical Image Computing Johns Hopkins University BaltimoreMD21224 United States

ISBN: (纸本)3540229760

Partial volume effects are present in nearly all medical imaging data. these artifacts blur the boundaries between different regions, making accurate delineation of anatomical structures difficult. In this paper, we propose a method for unsupervised estimation of partial volume fractions in single-channel image data. Unlike previous methods, the proposed algorithm simultaneously estimates partial volume fractions, the means of the different tissue classes, as well as the the locations of tissue boundaries within the *** latter allows the partial volume fractions to be constrained to represent pure or nearly pure tissue except along tissue boundaries. We demonstrate the application of the algorithm on simulated and real magnetic resonance images. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Tissue

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A study of dosimetric evaluation and feasibility of image guided intravascular brachytherapy in peripheral arteries

A study of dosimetric evaluation and feasibility of image gu...

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

作者： Bellec, Julien Manens, Jean-Pierre Göksu, Cemil Moisan, Cécile Haigron, Pascal CRLCC Eugène Marquis CS 44229 35042 Rennes France LTSI INSERM U642 Université de Rennes 1 35042 Rennes France Service de Chirurgie Vasculaire CHRU Rennes France

ISBN: (纸本)3540229779

this work involves the conception of the experimental dosimetric testing setup of an image based procedure for intravascular brachytherapy by 192Ir seed in peripheral arteries. After making sure of the suitability of the basis dosimetry data used for dose calculation, the treatment sequence as a whole has been tested in a customized tissue-equivalent phantom. the method is based on the use of CT preoperative images and 2D intra-operative radiographs. Experimental dosimetric results agree with the planning and demonstrate the feasibility of the procedure. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Dosimetry

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Coupling statistical segmentation and PCA shape modeling

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

作者： Pohl, Kilian M. Warfield, Simon K. Kikinis, Ron Grimson, W. Eric L. Wells, William M. Computer Science and Artificial Intelligence Lab. Massachusetts Institute of Technology Cambridge MA United States Surgical Planning Laboratory Harvard Medical School Brigham and Women's Hospital 75 Francis St. Boston MA 02115 United States

ISBN: (纸本)3540229760

this paper presents a novel segmentation approach featuring shape constraints of multiple structures. A framework is developed combining statistical shape modeling with a maximum a posteriori segmentation problem. the shape is characterized by signed distance maps and its modes of variations are generated through principle component analysis. To solve the maximum a posteriori segmentation problem a robust Expectation Maximization implementation is used. the Expectation Maximization segmenter generates a label map, calculates image intensity inhomogeneities, and considers shape constraints for each structure of interest. Our approach enables high quality segmentations of structures with weak image boundaries which is demonstrated by automatically segmenting 32 brain MRIs into right and left thalami. © Springer-Verlag Berlin Heidelberg 2004.

关键词： image segmentation

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Multiresolution image registration based on Kullback-Leibler distance

Multiresolution image registration based on Kullback-Leibler...

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

作者： Gan, Rui Wu, Jue Chung, Albert C.S. Yu, Simon C.H. Wells III, William M. Department of Computer Science Hong Kong University of Science and Technology Hong Kong Hong Kong Bioengineering Program School of Engineering Hong Kong University of Science and Technology Hong Kong Hong Kong Dept. of Diagnostic Radiology and Organ Imaging Prince of Wales Hospital Hong Kong Hong Kong Brigham and Women's Hospital Harvard Medical School Boston MA United States MIT CSAI Laboratory Cambridge MA United States

this paper extends our prior work on multi-modal image registration based on the a priori knowledge of the joint intensity distribution that we expect to obtain, and Kullback-Leibler distance. this expected joint distribution can be estimated from pre-aligned training images. Experimental results show that, as compared with the Mutual Information and Approximate Maximum Likelihood based registration methods, the new method has longer capture range at different image resolutions, which can lead to a more robust image registration method. Moreover, with a simple interpolation algorithm based on non-grid point random sampling, the proposed method can avoid interpolation artifacts at the low resolution registration. Finally, it is experimentally demonstrated that our method is applicable to a variety of imaging modalities. © Springer-Verlag Berlin Heidelberg 2004.

关键词： medical imaging

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Automatic segmentation of different-sized white matter lesions by voxel probability estimation

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medical image ANALYSIS 2004年第3期8卷 205-215页

作者： Anbeek, P Vincken, KL van Osch, MJP Bisschops, RHC van der Grond, J Univ Utrecht Ctr Med Image Sci Inst Dept Radiol NL-3584 CX Utrecht Netherlands

A new method for fully automated segmentation of white matter lesions (WMLs) on cranial MR imaging is presented. the algorithm uses five types of regular MRI-scans. It is based on a K-Nearest Neighbor (KNN) classification technique, which builds a feature space from voxel intensity features and spatial information. the technique generates images representing the probability per voxel being part of a WML. By application of thresholds on these probability maps binary segmentations can be produced. ROC-curves show that the segmentations achieve a high sensitivity and specificity. three similarity measures, the similarity index (SI), the overlap fraction (OF) and the extra fraction (EF), are calculated for evaluation of the results and determination of the optimal threshold on the probability map. Investigation of the relation between the total lesion volume and the similarity measures shows that the method performs well for lesions larger than 2 cc. the maximum SI per patient is correlated to the total WML volume. No significant relation between the lesion volume and the optimal threshold has been observed. the probabilistic equivalents of the SI, OF en EF (PSI, POF and PEF) allow direct evaluation of the probability maps, which provides a strong tool for comparison of different classification results. A significant correlation between the lesion volume and the PSI and the PEF has been noticed. this method for automated WML segmentation is applicable to lesions of different sizes and shapes, and reaches an accuracy that is comparable to existing methods for multiple sclerosis lesion segmentation. Furthermore, it is suitable for detection of WMLs in large and longitudinal population studies. (C) 2004 Elsevier B.V. All rights reserved.

关键词： MAGNETIC resonance imaging BRAIN PROBABILITY theory ALGORIthMS

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A tactile magnification instrument for minimally invasive surgery

A tactile magnification instrument for minimally invasive su...

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

作者： Yao, Hsin-Yun Hayward, Vincent Ellis, Randy E. Center for Intelligent Machines McGill University Montréal Canada School of Computing Queen's University Kingston Canada

ISBN: (纸本)3540229779

the MicroTactus is a family of instruments that we have designed to detect signals arising from the interaction of a tip with soft or hard objects and to magnify them for haptic and auditory reproduction. We constructed an enhanced arthroscopic surgical probe and tested it in detecting surface defects of a cartilage-like material. Elastomeric samples were cut at different depths and mixed with blank samples. Subjects were asked to detect the cuts under four conditions: no amplification, with haptic feedback, with sound feedback, and with passive touch. We found that both haptic and auditory feedback significantly improved detection performance, which demonstrated that an enhanced arthroscopic probe provided useful information for the detection of small cuts in tissue-like materials. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Surgery

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Texture image analysis for osteoporosis detection with morphological tools

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

作者： Sevestre-Ghalila, Sylvie Benazza-Benyahia, Amel Ricordeau, Anne Mellouli, Nedra Chappard, Christine Benhamou, Claude Laurent Université Paris 5 Laboratoire MAP5 45 rue des Saints Pères 75270 Paris Cédex 06 France Université Manouba ENSI Campus de la Manouba 2020 La Manouba Tunisia Ecole Supérieure des Communications de Tunis URISA Tunisia Université Paris 8 LINC IUT de Montreuil Montreuil France CHR d'Orléans France

ISBN: (纸本)3540229760

Osteoporosis is due to the following two phenomena: a reduction bone mass and a degradation of the microarchitecture of bone tissue. In this paper, we propose a method for extracting morphological information enabling the description of bone structure from radiological images of the calcaneus. Our main contribution relies on the fact that we provide bone descriptors close to classical 3D-morphological bone parameters. the first step of the proposed method consists in extracting the grey-scale skeleton of the microstructures contained in the underlying images. After an appropriate processing, the resulting skeleton provides discriminant features between osteoporotic patients and control patients. Statistical tests corroborate this discrimination property. © Springer-Verlag Berlin Heidelberg 2004.

关键词： medical imaging

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Virtual unfolding of the stomach based on volumetric image deformation

Virtual unfolding of the stomach based on volumetric image d...

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

作者： Mori, Kensaku Oka, Hiroki Kitasaka, Takayuki Suenaga, Yasuhito Toriwaki, Jun-Ichiro Graduate School of Information Science Nagoya University Furo-cho Chikusa-ku Nagoya 464-8603 Japan School of Computer and Cognitive Sciences Chukyo University Toyota Japan

ISBN: (纸本)3540229779

this paper describes a method for generating unfolded views of the stomach based on 3-D gray image deformation. Unfolded views can show the status of the stomach in one image. the previous method approximates the shape of the stomach using a surface model. this approximation is required for the stretching and reconstruction processes. the previous method had the problem that the intensity information inside the stomach wall was not reconstructed appropriately in the unfolded views, because the stretching process was performed by using only the surface information of the stomach. In the proposed method, we generate the approximated shape using a volumetric model. the volumetric model is deformed so as to generate unfolded views of the stomach. We applied the proposed method to five cases of 3-D abdominal CT images. the experimental results showed that the proposed method can unfolded views of the stomach without any undesirable artifacts. Also, it was possible to visualize the progress of unfolding process. © Springer-Verlag Berlin Heidelberg 2004.

关键词： medical imaging

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