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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.
2019 IEEE 58th Conference on Decision and Control (CDC)
The CDC is recognized as the premier scientific and engineering conference dedicated to the advancement of the theory and practice of systems and control. The CDC annually brings together an international community of researchers and practitioners in the field of automatic control to discuss new research results, perspectives on future developments, and innovative applications relevant to decision making, systems and control, and related areas.The 58th CDC will feature contributed and invited papers, as well as workshops and may include tutorial sessions.The IEEE CDC is hosted by the IEEE Control Systems Society (CSS) in cooperation with the Society for Industrial and Applied Mathematics (SIAM), the Institute for Operations Research and the Management Sciences (INFORMS), the Japanese Society for Instrument and Control Engineers (SICE), and the European Union Control Association (EUCA).
The conference covers all aspects of the technology associated with ultrasound generation and detection and their applications.
This conference is the annual premier meeting on the use of instrumentation in the Nuclear and Medical fields. The meeting has a very long history of providing an exciting venue for scientists to present their latest advances, exchange ideas, renew existing collaboration and form new ones. The NSS portion of the conference is an ideal forum for scientists and engineers in the field of Nuclear Science, radiation instrumentation, software engineering and data acquisition. The MIC is one of the most informative venues on the state-of-the art use of physics, engineering, and mathematics in Nuclear Medicine and related imaging modalities, such as CT and increasingly so MRI, through the development of hybrid devices
The Transactions on Biomedical Circuits and Systems addresses areas at the crossroads of Circuits and Systems and Life Sciences. The main emphasis is on microelectronic issues in a wide range of applications found in life sciences, physical sciences and engineering. The primary goal of the journal is to bridge the unique scientific and technical activities of the Circuits and Systems ...
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.
Computer, the flagship publication of the IEEE Computer Society, publishes peer-reviewed technical content that covers all aspects of computer science, computer engineering, technology, and applications. Computer is a resource that practitioners, researchers, and managers can rely on to provide timely information about current research developments, trends, best practices, and changes in the profession.
IEEE Computer Graphics and Applications (CG&A) bridges the theory and practice of computer graphics. From specific algorithms to full system implementations, CG&A offers a strong combination of peer-reviewed feature articles and refereed departments, including news and product announcements. Special Applications sidebars relate research stories to commercial development. Cover stories focus on creative applications of the technology by an artist or ...
Serves as a compendium for papers on the technological advances in control engineering and as an archival publication which will bridge the gap between theory and practice. Papers will highlight the latest knowledge, exploratory developments, and practical applications in all aspects of the technology needed to implement control systems from analysis and design through simulation and hardware.
IEEE Spectrum, 1988
Developments during 1987 are reviewed, namely, the use of movies of the beating heart; increased use of ultrasound; automatic insulin delivery; a laser catheter for cleaning leg arteries of plaque; improved pacemakers; and testing of cochlear devices. An expert opinion is provided by George V. Kondraske, associate professor of electrical and biomedical engineering at the University of Texas at Arlington, ...
IEEE Journal of Biomedical and Health Informatics, 2016
In this paper, we present an efficient robust labeling method for coronary arteries from X-ray angiograms based on energy optimization. The fundamental goal of this research is to facilitate the analysis and diagnosis of interventional surgery in the most efficient way, and such effort could also improve the performance during doctor training, and surgery simulation and planning. Compared to the ...
LEOS '92 Conference Proceedings, 1992
IEEE Transactions on Medical Imaging, 2011
This paper presents a vessel segmentation method which learns the geometry and appearance of vessels in medical images from annotated data and uses this knowledge to segment vessels in unseen images. Vessels are segmented in a coarse-to-fine fashion. First, the vessel boundaries are estimated with multivariate linear regression using image intensities sampled in a region of interest around an initialization ...
2009 International Conference for Technical Postgraduates (TECHPOS), 2009
Type 2 diabetes is one of the major risk factor for microvascular and coronary artery disease(CAD). Therefore, recurrent monitoring of arterial condition is essential. The photoplethysmogram (PPG) technique is a simple and cost effective technique in measuring blood volume change. Second derivative of photoplethysmogram (SDPPG) which is one of the applications of PPG was used for monitoring the arterial condition. ...
Developments during 1987 are reviewed, namely, the use of movies of the beating heart; increased use of ultrasound; automatic insulin delivery; a laser catheter for cleaning leg arteries of plaque; improved pacemakers; and testing of cochlear devices. An expert opinion is provided by George V. Kondraske, associate professor of electrical and biomedical engineering at the University of Texas at Arlington, who discusses the growing interest in rehabilitation.<<ETX>>
In this paper, we present an efficient robust labeling method for coronary arteries from X-ray angiograms based on energy optimization. The fundamental goal of this research is to facilitate the analysis and diagnosis of interventional surgery in the most efficient way, and such effort could also improve the performance during doctor training, and surgery simulation and planning. Compared to the prior state-of-the-art, our method is much more robust to resist noises and is tolerant to even incomplete data because of the “built-in” nature of global optimization. We start with a fully parallelized algorithm based on Hessian matrix to extract the tubular structure from the X-ray angiograms as vessel candidates. Then, instead of using the candidates directly, we use the grow cut (Vezhnevets and V. Konouchine, Growcut: Interactive multi-label N-D image segmentation by cellular automata, in Proc. of Graphicon, 2005, pp. 150-156.) method, which is similar to graph cut (Boykov et al. , Fast approximate energy minimization via graph cuts, IEEE Trans. Pattern Anal. Mach. Intell. , vol. 23, no. 11, pp. 1222-1239, Nov. 2001.)but with better performance to extract the precise vessel structure from the images. Next, we use the fast marching method with second derivatives and cross neighbors to extract the accurate skeleton segments. After that, we propose an efficient method based on iterative closest point (Z. Zhang, Iterative point matching for registration of free-form curves and surfaces, Int J. Comput. Vis., vol. 13, no. 2, pp. 119-152, 1994.) to organize the skeleton segments by treating the continuity and similarity as extra constraints. Finally, we formulate the vessel labeling problem as an energy optimization problem and solve it using belief propagation. We also demonstrate several typical applications including flow velocity estimation, heart beat estimation, and vessel diameter estimation to show its practical uses in clinical diagnosis and treatment. Our experiments exhibit the correctness and robustness, as well as the high performance of our algorithm. We envision that our system would be of high utility for diagnosis and therapy to treat vessel-related diseases in a clinical setting in the near future.
This paper presents a vessel segmentation method which learns the geometry and appearance of vessels in medical images from annotated data and uses this knowledge to segment vessels in unseen images. Vessels are segmented in a coarse-to-fine fashion. First, the vessel boundaries are estimated with multivariate linear regression using image intensities sampled in a region of interest around an initialization curve. Subsequently, the position of the vessel boundary is refined with a robust nonlinear regression technique using intensity profiles sampled across the boundary of the rough segmentation and using information about plausible cross-sectional vessel shapes. The method was evaluated by quantitatively comparing segmentation results to manual annotations of 229 coronary arteries. On average the difference between the automatically obtained segmentations and manual contours was smaller than the inter-observer variability, which is an indicator that the method outperforms manual annotation. The method was also evaluated by using it for centerline refinement on 24 publicly available datasets of the Rotterdam Coronary Artery Evaluation Framework. Centerlines are extracted with an existing method and refined with the proposed method. This combination is currently ranked second out of 10 evaluated interactive centerline extraction methods. An additional qualitative expert evaluation in which 250 automatic segmentations were compared to manual segmentations showed that the automatically obtained contours were rated on average better than manual contours.
Type 2 diabetes is one of the major risk factor for microvascular and coronary artery disease(CAD). Therefore, recurrent monitoring of arterial condition is essential. The photoplethysmogram (PPG) technique is a simple and cost effective technique in measuring blood volume change. Second derivative of photoplethysmogram (SDPPG) which is one of the applications of PPG was used for monitoring the arterial condition. Informal method SDPPG which substitutes the formal SDPPG aging index (SDPPG-AI) has been selected as an appropriate method to be applied. Test on twenty-three diabetic patients showed higher index of vascular aging compared to healthy subject.
The first pathologic alterations of the retina are seen in the vessel network. These modifications affect very differently arteries and veins, and the appearance and entity of the modification differ as the retinopathy becomes milder or more severe. In order to develop an automatic procedure for the diagnosis and grading of retinopathy, it is necessary to be able to discriminate arteries from veins. The problem is complicated by the similarity in the descriptive features of these two structures and by the contrast and luminosity variability of the retina. We developed a new algorithm for classifying the vessels, which exploits the peculiarities of retinal images. By applying a divide et impera approach that partitioned a concentric zone around the optic disc into quadrants, we were able to perform a more robust local classification analysis. The results obtained by the proposed technique were compared with those provided by a manual classification on a validation set of 443 vessels and reached an overall classification error of 12%, which reduces to 7% if only the diagnostically important retinal vessels are considered.
In the resonance theory, the radial dilatation is emphasized, and the blood pressure wave is transmitted in the form of "moving windkessel". Based on this conjecture, we developed a semi-empirical procedure to describe the pressure distribution in a complex simulated model composed of a main tube and attached organs. Now we try to apply this fitting method to hemodynamics in vivo, and we tested our equations by two sets of experiments on the rats: ligating a renal artery and bending the aorta transversely. Abdominal aortic blood pressure of rat was measured through tubes inserted from the caudate artery and compared with curve-fitting deduced from semi empirical resonance equations. The good fitting result illustrates that in spite of various complex structures of the arterial system, we can still provide good description for the blood pressure distribution by dividing the arterial system into sub-units and describing with few elastic parameters. It reinforces the conjecture of the resonance theory.
Three-dimensional ultrasound (3D US) is widely useful in clinical diagnosis and therapy monitoring. However, the existing methods for 3D US are generally expensive and physically constraining. This paper describes a low-cost and unobtrusive method for 3D US, which spatially registers 2D US scans in six degrees of freedom (6 DoF). In this method, artificial skin features are created in the scan region of the body for robust feature tracking. A lightweight camera is mounted on the US probe to track the features for probe motion recovery and skin surface mapping. This algorithm does not rely on any assumption on the scene, so this system is suitable for scan regions of any size and any surface shape. In this paper, the system design and the preparation of artificial skin features are described. Performance of this method in 3D volume reconstruction is examined quantitatively through in-vitro experiments and qualitatively through in-vivo experiments.
Accurate coronary plaque characterisation by ultrasound would have a major impact on the management of cardiac patients. The aim of this study has been to develop radio-frequency analysis techniques for this purpose. Postmortem coronary arteries (n=5) were imaged with 30 MHz intravascular ultrasound (IVUS) and the raw signals digitised (f=250 MHz) at 11 sites. Spectral parameters were compiled from regions of interest (ROIs=45) within areas of loose fibrotic tissue (DFT), moderate fibrotic tissue (MFT), dense fibrotic tissue (DFT) and calcium (CA), located using scan-converted representations of the data. Power spectra were normalised with respect to a perfect reflector and power- and frequency-related parameters were measured within the bandwidth 17-42 MHz. Significant discrimination between LFT/DFT and LFT/CA was given by maximum power and spectral slope (dB/MHz). The clearest discrimination was provided by the 0 Hz intercept of the spectral slope: LFT/DFT (p<.001); LFT/CA (p<.0001); DFT/CA (p<.1). In order to evaluate the predictive power of these measurements, parametric images were constructed to show the distribution of the plaque types as determined by each parameter.
We present an approach for accurate localization of the neck of intracranial aneurysms and quantification of their geometry that is useful for their treatment through endovascular embolization. In particular, we first obtain a vessel segmentation using a topology-preserving level set method and extract the surface of the segmented vessel. We then separate the aneurysm from the parent vessels and localize its neck by formulating the aneurysm segmentation problem as an s-t minimum cut problem. Finally, we estimate clinically relevant geometric parameters of the aneurysm. The results indicate that there is good agreement between the measurements obtained by the proposed approach and two independent manual sets of measurements obtained by two experienced interventional neuroradiologists.
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