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Non-planar reslicing for freehand 3D ultrasound 2nd

Non-planar reslicing for freehand 3D ultrasound

引用

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

作者： Gee, A Prager, R Berman, L Univ Cambridge Dept Engn Cambridge CB2 1TN England Univ Cambridge Dept Radiol Cambridge CB2 1TN England

ISBN: (纸本)354066503X

Any-plane slicing is a visualisation technique common to many medical imaging modalities, including 3D ultrasound, The acquired data is resampled on a user-specified plane and rendered, usually after some interpolation, on a standard graphics display. In this paper, we motivate and develop non-planar reslicing for freehand 3D ultrasound: the data is resampled not on a flat plane, but a curved surface, which is then unrolled for display on a flat screen. We show how to implement non-planar reslicing in a sequential manner, so the reslice image can be constructed directly from the raw B-scans and positions, without going through an intermediate voxel array stage, Care is taken to ensure that distances measured along lines in the non-planar reslice image are the same as the distances measured along the corresponding curves in 3D space, The resulting tool has interesting clinical applications, made accessible through an effective Graphical User Interface (GUI), which allows the user to specify the required reslice surface rapidly and intuitively. The GUI, and some of the applications, are illustrated in this paper.

关键词： Graphical user interfaces

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A 3d puzzle for learning anatomy 2nd

A 3d puzzle for learning anatomy

引用

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

作者： Preim, B Ritter, F Deussen, O MeVis gGmbH D-28359 Bremen Germany Univ Magdeburg Dept Comp Sci Inst Simulat & Graph D-39106 Magdeburg Germany

ISBN: (纸本)354066503X

We present a new metaphor for learning anatomy - the 3d puzzle. With this metaphor students learn anatomic relations by assembling a geometric model themselves. For this purpose, a 3d model is enriched with docking positions which allow objects to be connected together. As complex 3d interactions are required to compose 3d objects, sophisticated 3d visualization- and interaction techniques are included. Among these techniques are shadow generation, 3d input devices, snapping mechanisms and collision detection. The puzzle, similar to a computer game, can be operated at different levels. To simplify the task, a subset of the geometry, e.g. the skeleton, can be correctly assembled initially. Moreover, textual information concerning the region of objects is provided, along with snapping mechanisms to support the user. With this approach we expect. to motivate students to explore the spatial relations between parts of the human body.

关键词： anatomic atlas metaphors for anatomy education depth-cues 3d interaction two-handed interaction

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Automatic reconstruction of 3D geometry using projections and a geometric prior model 2nd

Automatic reconstruction of 3D geometry using projections an...

引用

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

作者： Lötjönen, J Magnin, IE Reinhardt, L Nenonen, J Katila, T Helsinki Univ Technol Biomed Engn Lab FIN-02015 Helsinki Finland Inst Natl Sci Appl 502 Creatis F-69621 Villeurbanne France Univ Helsinki Cent Hosp Biomag Lab FIN-00029 Helsinki Finland

ISBN: (纸本)354066503X

A method has been developed to reconstruct 3D surfaces from two orthogonal X-ray projections. A 3D geometrical prior model, composed of triangulated surfaces, is deformed according to contours segmented from projection images. The contours are segmented by a new method based on free-form deformation. First, virtual X-ray images of the prior model are constructed by simulating real X-ray imaging, Thereafter, the contours segmented from the virtual projections are elastically matched with patient data. Next, the produced 2D vectors are back-projected onto the surface of the prior model and the prior model is deformed using the back-projected vectors with shape-based interpolation. The accuracy of the method is validated by it data set, containing 20 cases. The method is applied to reconstruct thorax and lung surfaces. The average matching error is about 1.2 voxels, corresponding to 5 mm.

关键词： image reconstruction

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Accurate robust symmetry estimation 2nd

Accurate robust symmetry estimation

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

作者： Smith, S Jenkinson, M Univ Oxford John Radcliffe Hosp Dept Clin NeurolFMRIB Oxford Ctr Funct Magnet Resonance Imaging Brain Oxford OX3 9DU England

ISBN: (纸本)354066503X

There are various applications, both in medical and nonmedical image analysis, which require the automatic detection of the line (2D images) or plane (3D) of reflective symmetry of objects. There exist relatively simple methods of finding reflective symmetry when object images are complete (i.e., completely symmetric and perfectly segmented from image "background"). A much harder problem is finding the line or plane of symmetry when the object of interest contains asymmetries, and may not have well defined edges. A major area of interest is brain image analysis;there are various reasons why one would want to be able to automatically, robustly and accurately find the (sagittal) mid-plane from a 3D brain image. Example applications include pre-alignment (or sanity checking) for standard registration methods, mid-plane finding as part of symmetric probabilistic anatomical map generation, and, in particular, symmetry-based analyses (e.g., for schizophrenia research). This paper describes EROS - Extraction of Robust Orientation using Symmetry, which has been developed to solve this problem. It has been shown to work with MRI (T1, T2, EPI), PET, SPECT and CT, using robust measures to give accurate results even with images containing large asymmetries.

关键词： symmetry detection robust registration mid-plane

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A simulation environment for maxillofacial surgery including soft tissue implications 2nd

A simulation environment for maxillofacial surgery including...

引用

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

作者： Schutyser, F Van Cleynenbreugel, J Schoenaers, J Marchal, G Suetens, P Katholieke Univ Leuven ESAT & Radiol Lab Med Image Comp Louvain Belgium Univ Hosp Leuven Dept Stomatol & Maxillofac Surg B-3000 Louvain Belgium

ISBN: (纸本)354066503X

This paper describes work in progress in the area of planning and prediction of maxillofacial surgery. We focus oil true 3D problems which cannot be addressed by conventional 2D cephalometric radiographs. Examples are bilateral repositioning of the zygoma's or treating facial asymmetries. The environment being developed arose from the need of patients for prediction of their expected post-op outlook and from the need of surgeons for better support to reach the desired result. Our simulation environment adheres to a scene-based approach in which CT image-derived visualizations and additional 3D photographs (showing the face surface and its natural complexion) are co-presented and manipulated. Tools for non-planar osteotomy are included. Repositioning of bone fragments is made possible. Furthermore, a voxel displacement formalism is presented to account for soft tissue implications. Combining these simulation tools, a qualitative prediction of the facial outlook is obtained. Results are shown for a case of hypoplastic zygoma repositioning.

关键词： image guided therapy maxillofacial surgery simulation osteotomy soft tissue modelling

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Fully automatic 3D/2D subtracted angiography registration 2nd

Fully automatic 3D/2D subtracted angiography registration

引用

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

作者： Kerrien, E Berger, MO Maurincomme, E Launay, L Vaillant, R Picard, L LORIA F-54506 Vandoeuvre Les Nancy France Gen Elect Med Syst Europe F-78533 Buc France CHU Nancy Hop Neurol Therapeut & Diagnost Neuroradiol Dept F-54035 Nancy France

ISBN: (纸本)354066503X

Today, 3-D angiography volumes are routinely generated from rotational angiography sequences. In previous work [7], we have studied the precision reached by registering such volumes with classical 2-D angiography images, inferring this matching only from the sensors of the angiography machine. The error led by such a registration can be described as a 3-D rigid motion composed of a large translation and a small rotation. This paper describes the strategy we followed to correct this error. The angiography image is compared in a two-step process to the Maximum Intensity Projection (MIP) of the angiography volume. The first step provides most of the translation by maximizing the cross-correlation. The second step recovers the residual rigid-body motion, thanks to a modified optical flow technique. A fine analysis of the equations encountered in both steps allows for a speed-tip of the calculations. This algorithm was validated on 17 images of a phantom, and 5 patients. The residual error was determined by manually indicating points of interest and was found to be around I min.

关键词： Angiography

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Reconstruction of 3D catheter paths from 2D X-ray projections 2nd

Reconstruction of 3D catheter paths from 2D X-ray projection...

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

作者： Bender, HJ Männer, R Poliwoda, C Roth, S Walz, M Univ Klinikum Mannheim Inst Anasthesiol & Operat Intens Med Mannheim Germany Univ Mannheim Lehrstuhl Informat 5 Mannheim Germany Volume Graph GmbH Heidelberg Germany Univ Klinikum Mannheim Inst Klin Radiol Mannheim Germany

ISBN: (纸本)354066503X

The diagnosis and therapy of intensive care patients requires the usage of several catheters inside the patients chest. The information about the position and path of the catheters inside the patients body is important for the doctor, but is nowadays not part of the clinical routine. One possible source of this information are CT or NMR scans, which lead to an organizational overhead and additional stress for the intensive care patient. To minimize the overhead we implemented an algorithm to extract the 3D path of catheters in the body of the patient from two or more standard X-ray images. The approach is based on only few assumptions, runs completely in three dimensions, and uses the Xray images only as a guideline for the path reconstruction process. It shows an inherently robust behaviour against misleading structures in the X-ray images, like loops and intersections. The algorithm has been tested with a selection of test images, including images from the clinical routine.

关键词： Catheters

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A new approach to 3D sulcal ribbon finding from MR images 2nd

A new approach to 3D sulcal ribbon finding from MR images

引用

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

作者： Zeng, X Staib, LH Schultz, RT Tagare, H Win, L Duncan, JS Yale Univ Dept Elect Engn New Haven CT 06520 USA Yale Univ Dept Diagnost Radiol New Haven CT 06510 USA Yale Univ Ctr Child Study New Haven CT 06520 USA

ISBN: (纸本)354066503X

Sulcal medial surfaces are 3D thin convoluted ribbons embedded in cortical sulci, and they provide distinctive anatomical features of the brain. Here we propose a new approach to automatic intrasulcal ribbon finding, following our work on cortex segmentation with coupled surfaces via level set methods, where the outer cortical surface is embedded as the zero level set of a high-dimensional distance function. Through the utilization of this distance function, we. are able to formulate the sulcal ribbon finding problem as one of surface deformation, thus avoiding possible control problems in other work using sliding contour models. Using dynamic programming and deformable surface models, our method requires little manual intervention and results parameterized sulcal ribbon surfaces in nearly real-time. Though a natural follow up to our earlier segmentation work, we describe how it can be applied with general segmentation methods. We also present quantitative results on 15 MR brain images.

关键词： Brain

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Localisation of subdural EEG electrode bundles in an interactive volume rendering framework 2nd

Localisation of subdural EEG electrode bundles in an interac...

引用

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

作者： Noordmans, HJ van Veelen, CWM Viergever, MA Univ Utrecht Hosp Image Sci Inst E01334 NL-3508 GA Utrecht Netherlands Univ Utrecht Hosp Dept Neurosurg G03124 NL-3508 GA Utrecht Netherlands

ISBN: (纸本)354066503X

When the focus of epilepsy is so deep that skin EEG electrodes do not give enough accuracy in calculating the position of the focus, it may be decided to surgically implant EEG electrodes inside the patient's head. To localise these electrodes, a high resolution 3D CT scan is made of the patient's head. As manual tracking of the electrodes slice by slice is tedious and erroneous, a virtual reality environment has been created to give the radiologist a view from inside patient's skull. With the help of a high quality but fast volume renderer, the radiologist can get an overview of the electrode bundles and can interactively characterise the bundle of interest. For the localisation of the lead markers, we compared manual placement, centre of gravity and Gaussian image matching. For the interpolation, we compared line and NURBS interpolation with the optional restriction of equal segment size or zero curvature at the end of the bundle. It appeared that the electrodes could be characterised with high accuracy, that manual positioning equally performed as centre of gravity methods, and that NURBS interpolation with equal segment size outperformed line interpolation and NURBS interpolation without the equal segment restriction.

关键词： Electrodes

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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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