Showing papers in "Medical Image Analysis in 2002"
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TL;DR: It is demonstrated that human brain tensor data when filtered can effectively describe macrostructural diffusion, which is important in the assessment of fiber-tract organization.
872 citations
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TL;DR: A new magnetic resonance (MR) image analysis tool that produces cortical surface representations with spherical topology from MR images of the human brain is described, which is designed to require minimal user interaction to produce cortical representations.
829 citations
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TL;DR: This paper presents a general technique for segmenting out vascular structures in retinal images, and characterising the segmented blood vessels, and applies a simple retrospective screening paradigm based solely on vessel width and tortuosity.
346 citations
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TL;DR: An explicit axisymmetric finite element simulation of the aspiration experiment is used together with a Levenberg-Marquardt algorithm to estimate the material model parameters in an inverse parameter determination process.
258 citations
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TL;DR: The objective of this work was to automatically detect regions with apparent local volume variation with a vector field operator applied to the local displacement field obtained after a non-rigid registration between two successive temporal images.
244 citations
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TL;DR: This work proposes a method to track the deformation of the brain and update preoperative images using intraoperative MR images acquired at different crucial time points during surgery, using a deformable surface matching algorithm and a linear finite element elastic model to infer a volumetric deformation.
237 citations
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TL;DR: A complete system allowing automatic recognition of the main sulci of the human cortex, which relies on a preprocessing of magnetic resonance images leading to abstract structural representations of the cortical folding patterns.
224 citations
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TL;DR: A new procedure to estimate the diffusion tensor from a sequence of diffusion-weighted images by replacing the standard least squares-based approach by the Geman-McLure M-estimator, in order to reduce outlier-related artefacts.
221 citations
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TL;DR: This paper provides a statistical estimation framework to quantify PVE and to propagate voxel-based estimates in order to compute global magnitudes, such as volume, with associated estimates of uncertainty.
184 citations
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TL;DR: A biomechanical-model-based approach for brain shift compensation is proposed, guided by limited intraoperative (exposed brain) surface data, with the aim to recover the deformation in the full volume.
183 citations
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TL;DR: This paper provides an algorithm to assess the amount of structure in generic multi-valued data by means of gradient and correlation computations and provides a novel framework for the interpolation of sparse vector fields in medical applications.
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TL;DR: A method for tracking the camera motion of a flexible endoscope, in particular a bronchoscope, using epipolar geometry analysis and intensity-based image registration is described and suggests that the tracking is sufficiently accurate for clinical use.
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TL;DR: The results show that it is possible to create a deformable model of the breast based on finite elements with non-linear material properties, capable of modeling and predicting breast deformations in a clinically useful amount of time.
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TL;DR: In this paper, a randomized, controlled trial was conducted to compare the accuracy of standard ultrasound-guided needle biopsy to biopsies performed using a 3D Augmented Reality (AR) guidance system.
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TL;DR: A new approach to medical image analysis that combines deformable model methodologies with concepts from the field of artificial life is introduced, including a "corpus callosum worm" that can overcome noise, incomplete edges, considerable anatomical variation, and interference from collateral structures to segment and label the corpusCallosum in 2D mid-sagittal MR brain images.
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TL;DR: An improved search procedure is proposed that is more robust against outlier configurations in the boundary target points by requiring subsequent shape changes to be smooth, which is imposed by a smoothness constraint on the displacement of neighbouring target points at each iteration and implemented by a minimal cost path approach.
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TL;DR: An algorithm which combines non-rigid image-based registration and conventional position sensing to correct probe-pressure-induced registration errors in freehand three-dimensional (3D) ultrasound volumes is presented.
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TL;DR: A simulation system based on novel algorithms for animating instruments interacting with deformable tissue in real-time based on computing the deformation of a tissue subject to external forces, and detecting collisions among deformable and rigid objects is presented.
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TL;DR: A four-dimensional deformable motion algorithm is described for use in the motion compensation of gated cardiac positron emission tomography that makes use of temporal continuity and a non-uniform elastic material model to provide improved estimates of heart motion between time frames.
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TL;DR: Results show that the new method, in particular the false-positive reduction method based on the wavelet snake, is effective in improving the performance of a computerized scheme for detection of pulmonary nodules in chest radiographs.
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TL;DR: It turns out from experiments, that the integrated treatment of rigid, elastic and fluid regions improves the physical plausibility of the predicted deformation results as compared to a purely linear elastic model.
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TL;DR: In this paper, a statistical approach to aggregate speed and phase (directional) information for vascular segmentation of phase contrast magnetic resonance angiograms (PC-MRA) is presented.
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TL;DR: A prototype three-dimensional ultrasound guidance (3D USB) apparatus to improve the breast biopsy procedure has proven an equivalence between the apparatus operated by non-experts and free-hand biopsy performed by expert radiologists, for 3.2 mm lesions in vitro, with a 95% confidence.
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TL;DR: This paper presents a direct approach to the segmentation of incomplete tomographic data by simultaneously deforming a surface model and updating density parameters in order to achieve a best fit between the projected model and the measured sinograms.
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TL;DR: The underlying principles and system organisation of the CAD system are explained, and the correctness of the 3D positions calculated are examined using a set of breast lesions, which appear both in mammograms and in MRI data.
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TL;DR: The results of in-vitro experiments indicate that edge-enhancing anisotropic diffusion filtering is most suitable: the increase in the user-dependency of visualizations and quantifications is considerably less with this technique compared to linear filtering techniques, and it is better at reducing noise near edges than isotropic nonlinear diffusion.
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TL;DR: The statistical background of the general linear model is revised and a new model for the temporal autocorrelations ("damped oscillator" model) is proposed and compared to another, previously used in the field (first-order autoregressive model, or AR(1) model).
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TL;DR: A method for the retrospective correction of intensity inhomogeneities induced by the heel effect in digital radiographs is presented and its robustness is demonstrated on a database of 137 diagnostic hand radiographs.