Despite extensive efforts to enhance catheter navigation, limited research has been done to visualize and monitor the tissue lesions created during ablation in the attempt to provide feedback for effective therapy. We...
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The fast development of the graphics Processing Unit's progammability and parallel computing power provides new solutions for visualization technology As the carrier of volume date, a cubic box is selected as the ...
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ISBN:
(纸本)9783037855454
The fast development of the graphics Processing Unit's progammability and parallel computing power provides new solutions for visualization technology As the carrier of volume date, a cubic box is selected as the bounding box in the improved ray-casting algorithm, whose diagonal vertex coordinates are stored in boxMin and boxMax respectively. By adjusting the two parameters we can change the shape of the bounding box and then choose the interesting region of the object, a CUDA based interactive volumetric clipping tool is finally realised. By changing the shape of bounding box, the axial volumetric clipping and arbitrary cross-section clipping are important ways to help to get the object's internal information. Experiments show this method is simple, efficient and useful especially for the irregular shape defect. In addition, even for the larger volume of data, we can get a high quality, cross-sectional images on a fast speed.
We present a robust approach for reconstructing the architectural structure of complex indoor environments given a set of cluttered input scans. Our method first uses an efficient occlusion-aware process to extract pl...
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We present a robust approach for reconstructing the architectural structure of complex indoor environments given a set of cluttered input scans. Our method first uses an efficient occlusion-aware process to extract planar patches as candidate walls, separating them from clutter and coping with missing data. Using a diffusion process to further increase its robustness, our algorithm is able to reconstruct a clean architectural model from the candidate walls. To our knowledge, this is the first indoor reconstruction method which goes beyond a binary classification and automatically recognizes different rooms as separate components. We demonstrate the validity of our approach by testing it on both synthetic models and real-world 3D scans of indoor environments.
Mental imagery refers to percept-like experiences in the absence of sensory input. Brain imaging studies suggest common, modality-specific, neural correlates imagery and perception. We associated abstract visual stimu...
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Mental imagery refers to percept-like experiences in the absence of sensory input. Brain imaging studies suggest common, modality-specific, neural correlates imagery and perception. We associated abstract visual stimuli with either visually presented or imagined monetary rewards and scrambled pictures. Brain images for a group of 12 participants were collected using functional magnetic resonance imaging. Statistical analysis showed that human midbrain regions were activated irrespective of the monetary rewards being imagined or visually present. A support vector machine trained on the midbrain activation patterns to the visually presented rewards predicted with 75% accuracy whether the participants imagined the monetary reward or the scrambled picture during imagination trials. Training samples were drawn from visually presented trials and classification accuracy was assessed for imagination trials. These results suggest the use of machine learning technique for classification of underlying cognitive states from brain imaging data.
Active Reflector is one of the innovations of Five-hundred-meter Aperture Spherical Telescope (FAST), whose performance influences the performance of the whole telescope. To avoid the information acquiring being the b...
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Active Reflector is one of the innovations of Five-hundred-meter Aperture Spherical Telescope (FAST), whose performance influences the performance of the whole telescope. To avoid the information acquiring being the bottleneck of the whole process and improve the efficiency of telescope observing, 3DViewer, a program of real-time 3D visualization for Active Reflector System (ARS) of FAST based on EPICS (Experimental Physics and Industrial Control System) and virtual 3D graphics technology - OpenGL, has been developed to display the status in ARS.
In reverse engineering and computer-aided design (CAD) applications point cloud data is usually manually scanned, reconstructed, and post-processed in separated steps. When point cloud data resulting from a scanning p...
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In reverse engineering and computer-aided design (CAD) applications point cloud data is usually manually scanned, reconstructed, and post-processed in separated steps. When point cloud data resulting from a scanning process do not satisfy certain necessary reconstruction requirements, one must perform scanning again to enable proper reconstruction. On-line reconstruction of 3d geometry allows one to generate and update a CAD reconstruction on-line during the scanning process with an hand-held laser scanner. Thus, regions where the scanned data is insufficient for the reconstruction are detected on the fly to allow an immediate correction and improvement of the scanned data. This enables the operator to focus on critical regions in the scanned data to improve the reconstruction quality. We present an on-line segmentation and on-line reconstruction of basic geometric primitives. The presented methods allow for a real-time processing of a point stream. They utilize data structures that can be updated at any time when additional data from the stream has to be processed. This data is used to complete and improve the segmentation and reconstruction during the scanning process.
B-mode ultrasonic images are often pervaded by the electronics noise and speckle artifact, which may make the interpretation of medical images difficult. In this paper, a legible method for ultrasonic image is constru...
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We present an interactive rendering solution that aims at visualizing large-scale mesh with hundred millions of triangles up to extremely high resolution on cloud computing platform. Firstly, we propose a novel adapti...
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We present an interactive rendering solution that aims at visualizing large-scale mesh with hundred millions of triangles up to extremely high resolution on cloud computing platform. Firstly, we propose a novel adaptive parallel rasterization method based on MapReduce, whose results are stored in a data format called enhanced layered depth image (ELDI). In order to fully apply the powerful capabilities of cloud computing, our proposed method integrates pixel and triangle based strategies in one processing pipeline so as to significantly reduce data transfer between Map and Reduce steps. Consequently, a light-weight Web service for interactive rendering is also proposed to couple with the rasterization step, which enables user to interactively visualize large-scale mesh via browser on both mobile devices and work stations. According to demonstrated examples in the paper, once the rasterization results are obtained, users can freely adjust visualizing effects of complex mesh. Our rendering approach is promising for big data exploration, analysis or authoring.
An effective radio holographic 3D-images synthesis scheme on the basis of the probe signal with linear frequency modulation is developed. The potential (maximum achievable) and the actual characteristics of the imagin...
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Interactive and high-quality visualization of spatially continuous 3D fields represented by scattered distributions of billions of particles is challenging. One common approach is to resample the quantities carried by...
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ISBN:
(纸本)9781479912940
Interactive and high-quality visualization of spatially continuous 3D fields represented by scattered distributions of billions of particles is challenging. One common approach is to resample the quantities carried by the particles to a regular grid and to render the grid via volume ray-casting. In large-scale applications such as astrophysics, however, the required grid resolution can easily exceed 10K samples per spatial dimension, letting resampling approaches appear unfeasible. In this paper we demonstrate that even in these extreme cases such approaches perform surprisingly well, both in terms of memory requirement and rendering performance. We resample the particle data to a multiresolution multiblock grid, where the resolution of the blocks is dictated by the particle distribution. From this structure we build an octree grid, and we then compress each block in the hierarchy at no visual loss using wavelet-based compression. Since decompression can be performed on the GPU, it can be integrated effectively into GPU-based out-of-core volume ray-casting. We compare our approach to the perspective grid approach which resamples at run-time into a view-aligned grid. We demonstrate considerably faster rendering times at high quality, at only a moderate memory increase compared to the raw particle set.
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