visualization methods are very important in biomedical imaging. As a technology that understands life, biomedical imaging has the unique advantage of providing the most intuitive information in the image. This advanta...
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ISBN:
(数字)9781510614741
ISBN:
(纸本)9781510614741
visualization methods are very important in biomedical imaging. As a technology that understands life, biomedical imaging has the unique advantage of providing the most intuitive information in the image. This advantage of biomedical imaging can be greatly improved by choosing a special visualization method. This is more complicated in volumetric data. Volume data has the advantage of containing 3D spatial information. Unfortunately, the data itself cannot directly represent the potential value. Because images are always displayed in 2D space, visualization is the key and creates the real value of volume data. However, image processing of 3D data requires complicated algorithms for visualization and high computational burden. Therefore, specialized algorithms and computing optimization are important issues in volume data. Photoacoustic-imaging is a unique imaging modality that can visualize the optical properties of deep tissue. Because the color of the organism is mainly determined by its light absorbing component, photoacoustic data can provide color information of tissue, which is closer to real tissue color. In this research, we developed realistic tissue visualization using acoustic-resolution photoacoustic volume data. To achieve realistic visualization, we designed specialized color transfer function, which depends on the depth of the tissue from the skin. We used direct ray casting method and processed color during computing shader parameter. In the rendering results, we succeeded in obtaining similar texture results from photoacoustic data. The surface reflected rays were visualized in white, and the reflected color from the deep tissue was visualized red like skin tissue. We also implemented the CUDA algorithm in an OpenGL environment for real-time interactive imaging.
The exploration and analysis of data mining methodologies is an important task for effective knowledge discovery, especially in today's heterogeneous information networks. Previously presented approaches for minin...
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ISBN:
(纸本)9781538672020
The exploration and analysis of data mining methodologies is an important task for effective knowledge discovery, especially in today's heterogeneous information networks. Previously presented approaches for mining optimization aim primarily at the improvements of time complexity, space complexity, accuracy, and robustness. We extend the state-of-the-art method by concentrating on user-availability and algorithm understandability. Specifically, we use Rankclus, a classic clustering algorithm as an example. After uncovering the unseen computing processes to be displayed in a visual form, the whole clustering processes are transparent to the users, which may help them more clearly and quickly understand how the algorithms are computed, how does each object influence one another. In addition, we use a density approach to intuitively simplify the discovery of data patterns, and through the visualized results, users can adjust algorithm parameters with or without professional training. Finally, we use another two visual techniques to improve the visualization quality: a heatmap matrix designed for checking the similarities of objects which are in the same cluster, and a DOItree implemented to further analyze the accuracy of the algorithms.
The quality assessment of ultrasound images is essential for prenatal diagnosis, in which detection of anatomical structures is the first and most important step in quality assessment. In clinical practice, it is usua...
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With the development of modern geovisual analytics tools, several researchers have emphasized the importance of understanding users' cognitive, perceptual, and affective tendencies for supporting spatial decisions...
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Medical imaging modalities, such as four-dimensional arterial spin label magnetic resonance angiography (4D ASL MRA), can acquire blood flow data of the cerebrovascular system. These datasets are useful to determine c...
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Running scientific workflows on a supercomputer can be a daunting task for a scientific domain specialist. Workflow management solutions (WMS) are a standard method for reducing the complexity of application deploymen...
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ISBN:
(数字)9781728144849
ISBN:
(纸本)9781728144856
Running scientific workflows on a supercomputer can be a daunting task for a scientific domain specialist. Workflow management solutions (WMS) are a standard method for reducing the complexity of application deployment on high performance computing (HPC) infrastructure. We introduce the design for a middleware system that extends and combines the functionality from existing solutions in order to create a high-level, staged usercentric operation/deployment model. This design addresses the requirements of several use cases in the life sciences, with a focus on neuroscience. In this manuscript we focus on two use cases: 1) three coupled neuronal simulators (for three different space/time scales) with in-transit visualization and 2) a closed-loop workflow optimized by machine learning, coupling a robot with a neural network simulation. We provide a detailed overview of the application-integrated monitoring in relationship with the HPC job. We present here a novel usage model for large scale interactive multi-application workflows running on HPC systems which aims at reducing the complexity of deployment and execution, thus enabling new science.
Videostroboscopy is a common technique used by phoniatricians for diagnosing vocal folds status by imaging their oscillations. Implementation of image processing methods allows to extract qualitative description and q...
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ISBN:
(纸本)9783319669052
Videostroboscopy is a common technique used by phoniatricians for diagnosing vocal folds status by imaging their oscillations. Implementation of image processing methods allows to extract qualitative description and quantitative indices. Such an analysis approach allows to detect glottal pathological changes and monitor the voice quality. Presented analysis of the videostroboscopic sequences were carried for 12 individuals i.e. 6 patients with diagnosed vocal nodules and 6 normophonic individuals classified as a control group. Image pre-processing and image segmentation algorithms were applied to compute the glottal area waveform (GAW) and the glottovibragram during phonation and to build a novel representation of vocal folds oscillations which we called the glottocorrelogram. The obtained results confirm that computer analysis and new representations of the phonation process of the glottis can aid the phoniatricians in diagnosis of voice disorders.
3D ultrasound reconstruction is able to improve the understanding of physicians to the scanned anatomy. But the recent technologies are very expensive and required many small details to build the system, as well as no...
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The proceedings contain 27 papers. The special focus in this conference is on Biocybernetics and biomedical Engineering. The topics include: Processing and analysis of EEG signal for SSVEP detection;steady state visua...
ISBN:
(纸本)9783319669045
The proceedings contain 27 papers. The special focus in this conference is on Biocybernetics and biomedical Engineering. The topics include: Processing and analysis of EEG signal for SSVEP detection;steady state visually evoked potentials and their analysis with graphical and acoustic transformation;the station for neurofeedback phenomenon research;influence of skin tone on efficiency of vision-based heart rate estimation;localization of noise sources in a multilead electrophysiological record;influence of preterm birth, BPD and lung inhomogeneity on respiratory system impedance – model studies;the analysis of the shape of the genetically modified human skin fibroblasts in culture;an automatic quantitative evaluation of ladder pattern presented in intercellular spaces in histopathological images of reflux disease specimen stained with desmoglein-3 antibody;stroke bricks – the segments of interests to localize early stages of the ischemia evolution;automatic detection of cells in FISH images using map of colors and three-track segmentation;usage of ICP algorithm for initial alignment in B-splines FFD image registration in breast cancer radiotherapy planning;basic concepts of 3D morphological spectra – generation and applications;automatical syndesmophyte contour extraction from lateral C spine radiographs;detection and classification of pigment network in dermoscopic color images as one of the 7-point checklist criteria;functional endoscopic sinus surgery with head mounted display and video analysis and glottocorrelographic visualization of normal and pathological vocal folds oscillations from videolaryngostroboscopic images.
Laser speckle contrast imaging (LSCI) is a well-established blood flow imaging technique, through the computed whole field contrast map. Though LSCI offers high spatial and temporal resolution, accurate quantification...
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ISBN:
(纸本)9781510622395
Laser speckle contrast imaging (LSCI) is a well-established blood flow imaging technique, through the computed whole field contrast map. Though LSCI offers high spatial and temporal resolution, accurate quantification of blood flow remains a challenge. In this paper, we demonstrate a single exposure system, introducing a modified velocity computing approach incorporating the effects of scattering events and other experimental parameters to result in a relatively inexpensive LSCI system with near real time results. Parameters like vessel dimension and concentration of scattering centers are cumulatively represented by defining the number of scattering events in the region of interest (ROI). The number of scattering events is considered along with the decorrelation time in deducing flow velocity. We present a modified equation for velocity computation incorporating the effects of scattering centers. This work attempts to bring consistency in flow velocity calculation across different samples to achieve a robust single exposure LSCI system. The LSCI setup was calibrated based on a system dependent constant, which was found to be a linear function of flow velocity, to predict velocity quantitatively. We present the results of the developed system on standard micron-sized flow channels.
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