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The world's premiere conference in MEMS sensors, actuators and integrated micro and nano systems welcomes you to attend this four-day event showcasing major technological, scientific and commercial breakthroughs in mechanical, optical, chemical and biological devices and systems using micro and nanotechnology.The major areas of activity in the development of Transducers solicited and expected at this conference include but are not limited to: Bio, Medical, Chemical, and Micro Total Analysis Systems Fabrication and Packaging Mechanical and Physical Sensors Materials and Characterization Design, Simulation and Theory Actuators Optical MEMS RF MEMS Nanotechnology Energy and Power
The conference program will consist of plenary lectures, symposia, workshops andinvitedsessions of the latest significant findings and developments in all the major fields ofbiomedical engineering.Submitted papers will be peer reviewed. Accepted high quality paperswill be presented in oral and postersessions, will appear in the Conference Proceedings and willbe indexed in PubMed/MEDLINE & IEEE Xplore
The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging.ISBI 2019 will be the 16th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2019 meeting will continue this tradition of fostering cross fertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.
The International Conference on Image Processing (ICIP), sponsored by the IEEE SignalProcessing Society, is the premier forum for the presentation of technological advances andresearch results in the fields of theoretical, experimental, and applied image and videoprocessing. ICIP 2019, the 26th in the series that has been held annually since 1994, bringstogether leading engineers and scientists in image and video processing from around the world.
International Geosicence and Remote Sensing Symposium (IGARSS) is the annual conference sponsored by the IEEE Geoscience and Remote Sensing Society (IEEE GRSS), which is also the flagship event of the society. The topics of IGARSS cover a wide variety of the research on the theory, techniques, and applications of remote sensing in geoscience, which includes: the fundamentals of the interactions electromagnetic waves with environment and target to be observed; the techniques and implementation of remote sensing for imaging and sounding; the analysis, processing and information technology of remote sensing data; the applications of remote sensing in different aspects of earth science; the missions and projects of earth observation satellites and airborne and ground based campaigns. The theme of IGARSS 2019 is “Enviroment and Disasters”, and some emphases will be given on related special topics.
Experimental and theoretical advances in antennas including design and development, and in the propagation of electromagnetic waves including scattering, diffraction and interaction with continuous media; and applications pertinent to antennas and propagation, such as remote sensing, applied optics, and millimeter and submillimeter wave techniques.
Contains articles on the applications and other relevant technology. Electronic applications include analog and digital circuits employing thin films and active devices such as Josephson junctions. Power applications include magnet design as well asmotors, generators, and power transmission
Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.
Both general and technical articles on current technologies and methods used in biomedical and clinical engineering; societal implications of medical technologies; current news items; book reviews; patent descriptions; and correspondence. Special interest departments, students, law, clinical engineering, ethics, new products, society news, historical features and government.
The development and application of electric systems, apparatus, devices, and controls to the processes and equipment of industry and commerce; the promotion of safe, reliable, and economic installations; the encouragement of energy conservation; the creation of voluntary engineering standards and recommended practices.
2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2009
Purpose: To test thermochemical ablation for potential as a new method to coagulate tissue and create a prototype device for administration. Materials and Methods: Reactions of either HCl or acetic acid and either NH<sub>4</sub>OH or NaOH were run in triplicate in a gel phantom as a simple calorimeter. Data were recorded over a period of 5 minutes using concentrations from ...
1998 IEEE Ultrasonics Symposium. Proceedings (Cat. No. 98CH36102), 1998
We have developed a simple, yet robust method for segmentation of low-contrast objects embedded in noisy images. Our technique has been applied to segmenting of liver tumors in B-scan ultrasound images with hypoechoic rims. In our method, first a B-scan image is processed by a median filter for removal of speckle noise. Then several one-dimensional profiles are obtained along multiple ...
OCEANS '86, 1986
This nation-wide monitoring and assessment program utilizes a uniform strategy to obtain sediment, bivalve mollusc, and benthic fish samples from up to 150 sites around the U.S. coastline. Uniform analytical methodology is employed to detect and quantify a set of toxic chemicals in these samples. Also, visible and histological evidence of fish disease are determined. All data are stored in ...
2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, 2006
Liver cancer is one of the most popular cancer diseases and causes a large amount of death every year. In order to make decisions such as liver resections, doctors will need to know the tumor volume, and further, the functional liver volume. Thus, an important task in radiology is the determination of tumor volume. Accurate segmentation of liver tumor from ...
IEEE Transactions on Biomedical Engineering, 1998
Computed tomography (CT) images have been widely used for liver disease diagnosis. Designing and developing computer-assisted image processing techniques to help doctors improve their diagnosis has received considerable interests over the past years. In this paper, a CT liver image diagnostic classification system is presented which will automatically find, extract the CT liver boundary and further classify liver diseases. The ...
Purpose: To test thermochemical ablation for potential as a new method to coagulate tissue and create a prototype device for administration. Materials and Methods: Reactions of either HCl or acetic acid and either NH<sub>4</sub>OH or NaOH were run in triplicate in a gel phantom as a simple calorimeter. Data were recorded over a period of 5 minutes using concentrations from 1-12M in the case of HCl and NH<sub>4</sub>OH. Comparison reactions were run at 11M using each acid reacted with each base. Two early device prototypes were devised using readily available components. Results: Maximum temperature rise was nearly instantaneous and was observed to peak with the 12M solutions at 106<sup>o</sup>C. The maximum temperatures in the 11M comparisons were seen with the strong acid HCl paired with the strong base NaOH. The lowest temperatures were seen with the weak acid acetic acid paired with the weak base NH<sub>4</sub>OH. Conclusion: Thermochemical ablation reactions can release adequate amounts of heat energy to cause tissue ablation.
We have developed a simple, yet robust method for segmentation of low-contrast objects embedded in noisy images. Our technique has been applied to segmenting of liver tumors in B-scan ultrasound images with hypoechoic rims. In our method, first a B-scan image is processed by a median filter for removal of speckle noise. Then several one-dimensional profiles are obtained along multiple radial directions which pass through the manually identified center of the region of a tumor. After smoothing by a Gaussian kernel smoother, these profiles are processed by Sombrero's continuous wavelets to yield scalograms over a range of scales. The modulus maxima lines, which represent the degree of regularity at individual points on the profiles, are then utilized for identifying candidate points on the boundary of the tumor. These detected boundary points are fitted by an ellipse and are used as an initial configuration of a wavelet snake. The wavelet snake is then deformed so that the accurate boundary of the tumor is found. A preliminary result for several metastases with various sizes of hypoechoic rims showed that our method could extract boundaries of the tumors which were close to the contours drawn by expert radiologists. Therefore, our new method can segment the regions of focal liver disease in sonograms with accuracy, and it can be useful as a preprocessing step in our scheme for automated classification of focal liver disease in sonography.
This nation-wide monitoring and assessment program utilizes a uniform strategy to obtain sediment, bivalve mollusc, and benthic fish samples from up to 150 sites around the U.S. coastline. Uniform analytical methodology is employed to detect and quantify a set of toxic chemicals in these samples. Also, visible and histological evidence of fish disease are determined. All data are stored in a central computerized data base so that rapid evaluation and dissemination of the data are possible. Selected data generated in the past by other agencies are being collected and organized in the data base. Summaries of both the new and the old data sets are being prepared now and can be made available to others.
Liver cancer is one of the most popular cancer diseases and causes a large amount of death every year. In order to make decisions such as liver resections, doctors will need to know the tumor volume, and further, the functional liver volume. Thus, an important task in radiology is the determination of tumor volume. Accurate segmentation of liver tumor from an abdominal image is one of the most important steps in 3D representation for liver volume measurement, liver transplant, and treatment planning. Since manual segmentation is inconvenient, time consuming and depends on the individual operator to a large extent, automatic segmentation is much more preferred. In this paper, an active contour model is used to segment tumors from CT abdominal images. Initial boundary is manually placed by operators outside the tumor region. The snake deforms to the tumor boundary with the minimization of energy function. We then calculate the tumor volume using the series of segmented tumor slices. Results show that this method is quite efficient in tumor volume estimation compared with the WHO criteria, which measures the tumor by multiplying the longest perpendicular diameters
Computed tomography (CT) images have been widely used for liver disease diagnosis. Designing and developing computer-assisted image processing techniques to help doctors improve their diagnosis has received considerable interests over the past years. In this paper, a CT liver image diagnostic classification system is presented which will automatically find, extract the CT liver boundary and further classify liver diseases. The system comprises a detect-before-extract (DBE) system which automatically finds the liver boundary and a neural network liver classifier which uses specially designed feature descriptors to distinguish normal liver, two types of liver tumors, hepatoma and hemageoma. The DBE system applies the concept of the normalized fractional Brownian motion model to find an initial liver boundary and then uses a deformable contour model to precisely delineate the liver boundary. The neural network is included to classify liver tumors into hepatoma and hemageoma. It is implemented by a modified probabilistic neural network (PNN) [MPNN] in conjunction with feature descriptors which are generated by fractal feature information and the gray-level co-occurrence matrix. The proposed system was evaluated by 30 liver cases and shown to be efficient and very effective.
Fibroscan<sup>reg</sup> (Echosens, Paris, France) is a parametric transient elastography based device used to quantify liver fibrosis by following the propagation of a low frequency shear wave and measuring the mean Young's modulus of the liver. This device has been successfully applied to homogeneous tissues such as liver in patients with chronic hepatic diseases. Current developments in transient elastography target the characterization of heterogeneous tissues. The objective of this study is to investigate the potential of parametric transient elastography in the characterization of heterogeneous tissues such as liver with heterogeneous fibrosis or tumors. The estimation of the shear wave velocity can be achieved by solving the elastic wave equation taking into account either the 1D, the 2D or the 3D components of the displacement spatial derivatives. Two methods are investigated: A 1D direct local inversion is performed on data acquired with a standard Fibroscan<sup>reg</sup> probe composed of a 3.5 MHz transducer mounted on a low frequency vibrator and a 3D direct local inversion is achieved on data acquired using a new dedicated multi-elements probe connected to an ultra-fast ultrasonic device. The algorithms are validated on simulations and on heterogeneous phantoms and tested on data acquired in the liver in vivo.
An overview of the TEX typesetting system is given, and some of the author's experiences are discussed. He discusses input, justification and hyphenation, fonts, math typesetting, macros, device-independent files and special effects. TEX products are then reviewed. The author describes the hardware he has used and recommends a TEX software configuration.<<ETX>>
Viral hepatitis causes fibrosis in liver and may change liver's mechanical properties. To evaluate the impact of fibrosis on elastic properties of human liver and to investigate potential benefits of ultrasonic elasticity imaging, nineteen fresh human liver samples and one hepatic tumor (focal nodular hyperplasia) sample obtained during operations were studied. Simple ID estimates based on the cyclic compression-relaxation method were preformed. Young's modulus values were derived from the pre-determined strain (controlled by a step motor system) and the stress values (measured by an electronic balance). Each specimen subsequently received histological examination and a grade of liver fibrosis was scored from 0 to 5. Results show that the Young's modulus values were at the order of several hundreds to thousands Pascals. The Young's modulus generally increased with the fibrosis grade though some discrepancies existed at the middle grades of fibrosis (score 1-3). The correlation between the fibrosis score and the Young's modulus was significant (P<0.01) based on the statistical analysis using the Pearson correlation method.
In the previous paper, we proposed a liver deformation model based on the beam of structural mechanics for medical training systems using virtual-reality techniques. In this beam model, a liver deformation is approximated by a single-beam deformation. The calculation cost of the single-beam model is much less than that of the FEM since the beam consists of one-dimensional elements. However, the single-beam model takes into account only one point-contact. In this paper, we propose a multi-beam model under the consideration of two point-contacts for laparoscopic training system by expending the single-beam model.
The differential diagnosis of focal liver lesions (FLL) frequently presents a dilemma, as FLL cannot be reliably characterized with conventional ultrasound. Recently, ultrasound contrast agents (UCA) and contrast-specific imaging methods have substantially improved the characterization of FLL. This was made possible by the known differences in dynamic vascular patterns (DVP) between healthy parenchyma and various FLL types, revealed by UCA. The purpose of this work was to develop a new method, called DVP processing, which provides a DVP- enhanced imaging mode of FLL using contrast ultrasound; this mode allows an improved differentiation of benign from malignant lesions. DVP processing consists in generating a sequence of images, where hyper-echoic and hypo- echoic pixels, compared to reference levels taken in healthy parenchyma, are coded over time in warm and cold colors, respectively. For example, a benign lesion remains hyper-echoic over time, while a malignant lesion is hyper- echoic in the arterial phase and turns into hypo-echoic in the portal phase. This method was implemented as an image-processing software program, which was the object of clinical evaluation. Sequences of 111 FLL were acquired with real-time low-MI contrast- specific ultrasound after a 2.5-mL bolus injection of SonoVuetrade, and subsequently analyzed off-fine with DVP processing. The sensitivity and specificity achieved by two clinical observers in this way were 92%, and 86%, respectively. These results reflect a significant improvement over accuracy scores achieved with contrast-enhanced ultrasound alone, having resulted in 93% and 82% in sensitivity and specificity, respectively.
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