In this paper, we present a virtual lumen insufflation algorithm and its applications in virtual endoscopy of both pipe-like and non-pipe-like organs. The surface of the lumen outer wall was modeled as isotropic elast...
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The evaluation of ultrasonic cavitation yield is difficult because the cavitation effect has non-linear characteristics. In this study, as a fundamental research for the evaluation of cavitation yield, the acoustic ch...
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Coordinate transform is the core technology in Digital Scan Conversion (DSC) of B-mode ultrasonic, and its speed mostly determines the frame rate of B-mode imaging. In the traditional coordinate transform process, ult...
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Phase unwrapping (PU) is the process of recovering the absolute phase from the wrapped phase . PU is the one of the most important step of the interferometry SAR processing for calculation of DEM, and can be applied t...
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The proceedings contain 28 papers. The special focus in this conference is on biomedicalengineering Systems and Technologies. The topics include: informatics-driven infectious disease research;a simple and low cost d...
The proceedings contain 28 papers. The special focus in this conference is on biomedicalengineering Systems and Technologies. The topics include: informatics-driven infectious disease research;a simple and low cost device for automatically supervising urine output of critical patients;photoplethysmogram processing using an adaptive single frequency phase vocoder algorithm;a configurable integrated circuit for biomedicalsignal acquisition;movement disorder assessment and attenuation techniques for removal of tremor;a new approach for diagnostic investigation of total hip replacement loosening;wearable monitoring unit for swimming performance analysis;3D protein surface segmentation through mathematical morphology;simple tool for semi-automated evaluation of yeast colony images;reconstructing gapless ancestral metabolic networks;discretized kinetic models for abductive reasoning in systems biology;quasi-steady state approximations and multistability in the double phosphorylation-dephosphorylation cycle;towards a patient-specific model of lung volume using absolute electrical impedance tomography (aEIT);auditory processing inspired robust feature enhancement for speech recognition;a robust and efficient spatio-temporal feature selection for interpretation of EEG single trials;time series clustering algorithm for two-modes cyclic biosignals;non-contact pulse wave velocity assessment using optical methods;fractal-based brain state recognition from EEG in human computer interaction;semantic-based conformance checking of computer interpretable medical guidelines;REST-style architecture and the development of mobile health care solutions;biomedical literature retrieval based on patient information;evaluating information security effectiveness with health professionals;using social network analysis to study the knowledge sharing patterns of health professionals using web 2.0 tools;a semantic-based platform for medical image storage and sharing using the grid;securing the a
Iterative shrinkage/thresholding algorithms (ISTAs) have recently been proposed to solve linear inverse problems arising in signal and imageprocessing. The convergence rate of ISTAs relies on a scalar known as st...
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Iterative shrinkage/thresholding algorithms (ISTAs) have recently been proposed to solve linear inverse problems arising in signal and imageprocessing. The convergence rate of ISTAs relies on a scalar known as step size, which is unknown and expensive to compute in practice especially for large-scale problems. Usually a backtracking rule is employed to choose an appropriate step size which guarantees the convergence condition and speed up ISTAs at the same time. In this paper, we propose a new method to compute the step size exactly. Experimental results show the effectiveness of the proposed algorithm.
In this paper, the key features of Phonocardiogram (PCG) are extracted based on the slopes of envelop of Hilbert Transfer after relocating boundaries with energy envelope segmentation. In this attempt the overall accu...
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In this paper, the key features of Phonocardiogram (PCG) are extracted based on the slopes of envelop of Hilbert Transfer after relocating boundaries with energy envelope segmentation. In this attempt the overall accuracy of features extraction is found to be 91.95%. 25 significant clinical features are introduced, and chosen to make two-kind classification by SVM. In the results of two-kind classification, the overall accuracy is 91.3%, which is better than 85.23% accuracy in 100 features of Shannon Energy Envelope. The result shows that features including clinical signification is of signification for enhancing the accurate rate of Phonocardiogram classification.
In recent years, the nonlinear analysis of electrocardiogram (ECG) signals using multifractal theory has been proved to be effective. In order to further study the features in normal and pathological ECG signals w...
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In recent years, the nonlinear analysis of electrocardiogram (ECG) signals using multifractal theory has been proved to be effective. In order to further study the features in normal and pathological ECG signals with multifractal analysis, drugs experiments were conducted on mice. Mice received various drugs to imitate different physiological and pathological conditions, and the distributions of the singularity strength range with different scale factors from the 12-lead ECG signals of healthy and drug injected mice were calculated, using coarsegrained approach and wavelet transform respectively. The results showed that there is a certain range of characteristic frequency in the curve of singularity strength range versus scale factors from the multiscale multifractal analysis results on mice ECG signals. In this range, the singularity strength range Aa gets the maximum value, which can best represent the complex fractal structures and dynamic characteristics of the heart, and be most sensitive to distinguish various physiological and pathological states.
The evaluation of ultrasonic cavitation yield is difficult because the cavitation effect has nonlinear characteristics. In this study, as a fundamental research for the evaluation of cavitation yield, the acoustic ...
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The evaluation of ultrasonic cavitation yield is difficult because the cavitation effect has nonlinear characteristics. In this study, as a fundamental research for the evaluation of cavitation yield, the acoustic characteristics of the bubble cloud were analyzed by measuring the attenuation in the bubble cloud. First, we cause cavitation using a concave-type single ultrasonic transducer. Subsequently, we transmit the 2.25 MHz ultrasound beam across the center of the bubble cloud. Under all sonication conditions, the attenuation was increased with an excellent correlation coefficient (0.7197, 0.8544, 0.8469, and 0.7795) in proportion to the rise in sonication intensity. Based on these results, we believe that this relationship is useful for evaluating cavitation yields.
We report here a diatom frustule-based photonic structure acting as an efficient near infrared contrast agent. The frustule of diatom Pinnularia sp. consists of two valves with same exquisite fine 2D periodicity at th...
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We report here a diatom frustule-based photonic structure acting as an efficient near infrared contrast agent. The frustule of diatom Pinnularia sp. consists of two valves with same exquisite fine 2D periodicity at the submicron scale, similar to a 2D photonic crystal. Decoration of diatom frustules with higher refractive index materials leads to a refractive indices contrast increase between the array of pores and the frame. Our calculation and measurements show that magnetite nanoparticle-decorated diatom frustules have a wide pseudo photonic band gap in near infrared range, resulting in a strong near infrared reflection. It allows the magnetite nanoparticle-decorated diatom frustules to be imaged with a high optical coherence tomography contrast.
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