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检索条件"任意字段=3rd International Conference on Medical Image Computing and Computer-Assisted Intervention"

共 4110 条记录，以下是3961-3970 订阅

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De-noising h_int surfaces:: A physics-based approach 2nd

De-noising <i>h<sub>int</sub></i> surfaces:: A physics-based...

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2nd international conference on medical image computing and computer-assisted intervention (MICCAI 99)

作者： Yam, M Highnam, R Brady, M Univ Oxford Med Vis Lab Oxford OX1 3PJ England

ISBN: (纸本)354066503X

The h(int) representation is a normalised, quantitative version of a mammogram which has substantial quantum noise components because of the way in which it is computed. This paper presents a physics-based approach to de-noising the h(int) representation of a mammogram. We investigate the major contributions to noise and the steps in the hilt generation that amplify noise, such as removal of intensifying screen glare. Estimating the radiographic noise components using parameters derived from physics models, we filter the original mammographic images with an adaptive wiener filter, W. Generating the h(int) representation from the filtered images yields a de-noised version which has substantially improved signal-to-noise ratio, and which is far better to use for further-processing, such as micro calcification detection. The accuracy of the de-noised hit representation is verified using experimental results on phantom images and mammograms with microcalcifications.

关键词： mammography radiographic mottle de-noising physics-based

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Spotlights: A robust method for surface-based registration in orthopedic surgery 2nd

Spotlights: A robust method for surface-based registration i...

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2nd international conference on medical image computing and computer-assisted intervention (MICCAI 99)

作者： Ma, B Ellis, RE Fleet, DJ Queens Univ Dept Comp & Informat Sci Kingston ON K7L 3N6 Canada

ISBN: (纸本)354066503X

Fast, simple and effective registration methods are needed in a wide variety of computer-assisted surgical procedures in which readily locatable anatomical landmarks are not available. Surface-based least-squares registration methods call be used, but are susceptible to poor initial pose estimates and to error contamination during intraoperative data collection. We have developed a fast, statistically robust method fur surface-based registration during orthopedic surgery. The method, based oil the iterative closest point (ICP) algorithm, fits a set of sparsely measured data points to a planar facet model. A first registration estimate is obtained by having the user contact the anatomy in a set of general anatomical regions (rather than contacting distinctive features). A small number of additional data points are acquired to refine the registration. Starting from the refined estimate, a robust scored perturbation method is used to find a better registration. This is followed by all M-estimate registration that is taken as the final registration. Simulation results show that this method is robust for data sets containing up to 25% gross outliers. The method has been tested in vitro oil plastic bone models, where it outperformed the least-squares estimate and maintained the required 1mm/2 degrees accuracy. The in vivo use of spotlights in computer-enhanced osteotomies of the knee have confirmed the usefulness of the method.

关键词： Perturbation techniques

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Camera-augmented mobile C-arm (CAMC) application:: 3D reconstruction using a low-cost mobile C-arm 2nd

Camera-augmented mobile C-arm (CAMC) application:: 3D recons...

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2nd international conference on medical image computing and computer-assisted intervention (MICCAI 99)

作者： Navab, N Mitschke, M Schütz, O Siemens Corp Res Princeton NJ 08540 USA Siemens AG Med Engn D-91052 Erlangen Germany

ISBN: (纸本)354066503X

High-end X-ray C-arm gantries have recently been used for 3D reconstruction. Low-cost mobile C-arms enjoy the advantage of being readily available and are often used as interventional imaging device, but do not guarantee the reproducibility of their motion. The calibration and reconstruction process used for high-end C-arms cannot be applied to them. Camera-Augmented Mobile C-arm (CAMC) is the solution we propose. A CCD camera is attached to the (motorized) mobile C-arm in order to calibrate the C-arm's projection geometry on-line. The relationship between X-ray and camera projection geometry is characterized in an off-line calibration process. We propose the notion of Virtual Detector (VD), which enables us to describe both optical and X-ray geometry as pinhole cameras with fixed intrinsic parameters. We have conducted experiments in order to compare the results of CAMC calibration with the calibration method used for high-end C-arms and using an optical tracking system (Polaris from Northern Digital, Inc.).

关键词： medical imaging

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The potential use of an autostereoscopic 3D display in microsurgery 2nd

The potential use of an autostereoscopic 3D display in micro...

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2nd international conference on medical image computing and computer-assisted intervention (MICCAI 99)

作者： Chios, P Tan, AC Linney, AD Alusi, GH Wright, A Woodgate, GJ Ezra, D UCL Inst Laryngol & Otol London WC1X 8EE England Sharp Labs Europe Ltd Oxford OX4 4GB England

ISBN: (纸本)354066503X

This paper investigates the potential use of a prototype micro-optic twin Liquid Crystal Display (LCD) monitor for stereomicroscopy in microsurgery. The new device displays stereoscopic images via a pair of colour Charge-Coupled Device (CCD) video cameras attached on to a surgical stereo microscope. The paper illustrates the 3D microscope-display system set-up and calibration for stereo viewing. A series of experimental techniques was devised to measure the user-response of the new display system in depth perception of a solid object against the traditional eyepieces of a stereo microscope. As a control, free viewing with the un-aided eyes was also measured. The positional data were collected using a passive mechanical arm. The results showed good correspondence between all three visualisation methods. Error analysis of our numerical findings suggests that the depth accuracy of the new device is well within the precision limits of hand movement for surgical operations. Our study also proves that there are small discrepancies within the sample population of operators using the system. A study based on the psychological and psychophysical factors influencing the system is planned.

关键词： Video cameras

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Level-set surface segmentation and fast cortical range image tracking for computing intrasurgical deformations 2nd

Level-set surface segmentation and fast cortical range image...

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2nd international conference on medical image computing and computer-assisted intervention (MICCAI 99)

作者： Audette, MA Siddiqi, K Peters, TM McGill Univ Montreal Neurol Inst Montreal PQ Canada McGill Univ McGill Ctr Intelligent Machines Montreal PQ Canada John P Robarts Res Inst London ON N6A 5K8 Canada

ISBN: (纸本)354066503X

We propose a method for estimating intrasurgical brain shift for image-guided surgery. This method consists of five stages: the identification of relevant anatomical surfaces within the MRI/CT volume, range-sensing of the skin and cortex in the OR, rigid registration of the skin range image with its MRI/CT homologue, non-rigid motion tracking over time of cortical range images, and lastly, interpolation of this surface displacement information over the whole brain volume via a realistically valued finite element model of the head. This papers focuses on the anatomical surface identification and cortical range surface tracking problems. The surface identification scheme implements a recent algorithm which imbeds 3D surface segmentation as the level-set of a 4D moving front. A by-product of this stage is a Euclidean distance and closest point map which is later exploited to speed up the rigid and non-rigid surface registration. The range-sensor uses both laser-based triangulation and defocusing techniques to produce a 2D range profile, and is linearly swept across the skin or cortical surface to produce a 3D range image. The surface registration technique is of the iterative closest point type, where each iteration benefits from looking up, rather than searching for, explicit closest point pairs. These explicit point, pairs in turn are used in conjunction with a closed-form SVD-based rigid transformation computation and with fast recursive splines to make each rigid and non-rigid registration iteration essentially instantaneous. Our method is validated with a novel deformable brain-shaped phantom, made. of Polyvinyl Alcohol Cryogel.

关键词： Magnetic resonance imaging

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Nonrigid 3-D/2-D registration of images using statistical models 2nd

Nonrigid 3-D/2-D registration of images using statistical mo...

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2nd international conference on medical image computing and computer-assisted intervention (MICCAI 99)

作者： Fleute, M Lavallée, S Univ Grenoble 1 TIMC Lab Grenoble France PRAXIM F-38700 La Tronche France

ISBN: (纸本)354066503X

This paper presents a new algorithm for reconstruction of 3D shapes using a few x-ray views and a statistical model. In many applications of surgery such as orthopedics, it is desirable to define a surgical planning oil 3-D images and then to execute the plan using standard registration techniques and image-guided surgery systems. But the cost, time and x-ray dose associated with standard pre-operative Computed Tomography makes it difficult to use this methodology for rather standard interventions. Instead, we propose to use. a few x-ray images generated from a C-Arm and to build the 3-D shape of the patient bones or organs intra-operatively, by deforming a statistical 3-D model to the contours segmented oil the x-ray views. In this paper, we concentrate on the application of our method to bone reconstruction. The algorithm starts from segmented contours of the bone oil the x-ray images and ail initial estimate of the pose of the 3-D model in the common coordinate system of the set of x-ray projections. The statistical model is made of a few principal modes that are sufficient to represent the normal anatomy. Those modes are built by using a generalization of the Cootes and Taylor method to 3-D surface models, previously published in MICCAI'98 by the authors. Fitting the model to the contours is achieved by using a generalization of the Iterative Closest Point Algorithm to nonrigid 3D/2D registration. For pathological shapes, the statistical model is not valid and subsequent local refinement is necessary. First results are presented for a 3-D statistical model of the distal part of the femur.

关键词： Bone

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3D functional database of subcortical structures for surgical guidance in image guided stereotactic neurosurgery 2nd

3D functional database of subcortical structures for surgica...

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2nd international conference on medical image computing and computer-assisted intervention (MICCAI 99)

作者： Finnis, KW Starreveld, YP Parrent, AG Sadikot, AF Peters, TM Univ Western Ontario John P Robarts Res Inst London ON N6A 5K8 Canada London Hlth Sci Ctr London ON Canada McGill Univ Montreal Neurol Inst Montreal PQ Canada

ISBN: (纸本)354066503X

Current techniques for deep brain stereotactic neurosurgery require identification of targets by preoperative imaging localization. Many critical structures targeted in this way (the thalamic nuclei) are functionally distinct but not discernable on magnetic resonance images. These structures are also surrounded by critical brain areas which must not be damaged by the surgical procedure. These factors make accurate localization of lesion targets crucial. Digitized anatomical atlases derived from histochemically stained brain specimens registered to patient MRI datasets aid in delineating targets but accuracy of registration within-homogeneous anatomy remains questionable. To address this problem, we have designed a searchable and expandable database of functional organization for the sensorimotor thalamus, internal capsule, and internal pallidum from a population of patients (n=40). Data were obtained through microcellular recording, microstimulation, and macrostimulation mapping performed during stereotactic thalamotomies and pallidotomies. After registration of the database into standard stereotactic space, clustering of like physiological responses was noted in the internal capsule and sensorimotor thalamus and an articulated joint-based organization was observed in the internal pallidum. Furthermore, a clear delineation of the kinesthetic-paresthetic functional border was observed within the thalamus. When registered to a patient MR,I within our image guided visualization platform, the database provides a visual representation of deep brain functional organization facilitating physiological exploration and preoperative planning.

关键词： Magnetic resonance imaging

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2nd international conference on medical image computing and computer-assisted intervention, MICCAI 1999

2nd International Conference on Medical Image Computing and ...

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2nd international conference on medical image computing and computer-assisted intervention, MICCAI 1999

ISBN: (纸本)354066503X

The proceedings contain 133 papers. The special focus in this conference is on Data Driven Segmentation and Segmentation Using Structural Models. The topics include: Segmentation of meningiomas and low grade gliomas in MRI;automated segmentation of MS lesions from multi-channel MR images;measurement of infarct volume in stroke patients using adaptive segmentation of diffusion weighted MR images;quantitative modelling of microcalcification detection in digital mammography;interactive direct volume rendering of dural arteriovenous fistulae in MR CISS data;segmentation of white matter lesions from volumetric MR images;fractional segmentation of white matter;a modified fuzzy C-means algorithm for MRI bias field estimation and adaptive segmentation;statistical 3D vessel segmentation using a rician distribution;retinal blood vessel segmentation by means of scale-space analysis and region growing;liver blood vessels extraction by a 3-D topological approach;a particle system for robust semi-automatic segmentation;interactive medical image segmentation with united snakes;active shape model-based segmentation of digital X-ray images;a new approach to 3D sulcal ribbon finding from MR images;automated segmentation of sulcal regions;active model based carotid ultrasonic data segmentation;automatic segmentation of lung fields in chest radiographs;automatic reconstruction of 3D geometry using projections and a geometric prior model;3D image matching using a finite element based elastic deformation model.

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image database assisted classification 3rd

Image database assisted classification

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3rd international conference on Visual Information Systems, VISUAL 1999

作者： Santini, Simone Worring, Marcel Hunter, Edd Kouznetsova, Valentina Goldbaum, Michael Hoover, Adam Visual Computing Lab University of California San Diego United States Intelligent Sensory Information Systems University of Amsterdam Netherlands Department of Ophthalmology University of California San Diego United States

ISBN: (纸本)3540660798

image similarity can be defined in a number of different semantic contexts. At the lowest common denominator, images may be classified as similar according to geometric properties, such as color and shape distributions. At the mid-level, a deeper image similarity may be defined according to semantic properties, such as scene content or description. We propose an even higher level of image similarity, in which domain knowledge is used to reason about semantic properties, and similarity is based on the results of reasoning. At this level, images with only slightly different (or similar) semantic descriptions may be classified as radically different (or similar), based upon the execution of the domain knowledge. For demonstration, we show experiments performed on a small database of 300 images of the retina, classified according to fourteen diagnoses. © Springer-Verlag Berlin Heidelberg 1999.

关键词： Domain Knowledge

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Contour tracking in echocardiographic sequences without learning stage: Application to the 3D reconstruction of the beating left ventricule 2nd

Contour tracking in echocardiographic sequences without lear...

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2nd international conference on medical image computing and computer-assisted intervention, MICCAI 1999

作者： Berger, Marie-Odile Winterfeldt, Goetz Lethor, Jean-Paul Loria/Inria-Lorraine BP 101 Villers-les-NancyF-54600 France CHU Brabois Nancy France

ISBN: (纸本)354066503X

In this paper we present a contour tracker on echographic image sequences. To do this, we use a hierarchical approach: we first compute a global estimation of the ventricular motion. Then we use a fine tuning algorithm to adjust the detection of the ventricular wall. The global estimation is based on a parametric motion model with a small number of parameters. This allows us to compute the motion in a robust way from the velocity computed at each point of the contour. Results are presented demonstrating tracking on various echographic sequences. We conclude by discussing some of our current research efforts. © Springer-Verlag Berlin Heidelberg 1999.

关键词： image reconstruction

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