Biomedical Engineering 
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This page shows you the most recent publications within this specialty of the MedWorm directory.
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Research4Life
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Elsevier is a founding partner and leading contributor to Research4Life, a public private partnership, providing developing countries with low or low cost access to academic and peer reviewed content online for four programs HINARI, AGORA, OARE and ARDI. (Source: Elsevier Updates: Engineering)
Source: Elsevier Updates: Engineering - February 4, 2012 Category: Biomedical Engineering Source Type: news
A service by scientists for scientists: Elsevier’s Editors’ Choice App aims to select best research articlesEmail this article to a colleague.
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Identifying the latest and most relevant research in a towering stack of journals can be time consuming. Here, Elsevier’s Elizabeth Holmes introduces the Editors’ Choice App, a downloadable application that seeks to present the reader with a personalised selection of peer-reviewed research. (Source: Elsevier Updates: Engineering)
Source: Elsevier Updates: Engineering - February 2, 2012 Category: Biomedical Engineering Source Type: news
Researchers Develop Novel Drug Delivery SystemEmail this article to a colleague.
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Long duration, controllable drug delivery is of wide interest to medical researchers and clinicians, particularly those seeking to improve treatment for patients with chronic pain or to prevent cancer recurrence after surgery. Now a team of researchers led by Boston University Biomedical Engineer and Chemist Mark Grinstaff has developed a unique material and drug delivery mechanism that could pave the way for implants that release a drug at a designated rate for months... (Source: Health News from Medical News Today)
Source: Health News from Medical News Today - February 2, 2012 Category: Consumer Health News Tags: Pain / Anesthetics Source Type: news
Mechanical Systems and Signal Processing - SI Call for PapersEmail this article to a colleague.
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Special Issue on Instantaneous Angular Speed (IAS) processing and angular applications. For more information, visit the journal homepage. (Source: Elsevier Updates: Engineering)
Source: Elsevier Updates: Engineering - February 1, 2012 Category: Biomedical Engineering Source Type: news
Thermal Barrier Coatings in Gas Turbine Engines - Part 3Email this article to a colleague.
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The Role of Fracture of Metal/Ceramic Interfaces (Source: Elsevier Updates: Engineering)
Source: Elsevier Updates: Engineering - February 1, 2012 Category: Biomedical Engineering Source Type: news
$L_1$ -Regularized STAP Algorithms With a Generalized Sidelobe Canceler Architecture for Airborne RadarEmail this article to a colleague.
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In this paper, we propose novel l1-regularized space-time adaptive processing (STAP) algorithms with a generalized sidelobe canceler architecture for airborne radar applications. The proposed methods suppose that a number of samples at the output of the blocking process are not needed for sidelobe canceling, which leads to the sparsity of the STAP filter weight vector. The core idea is to impose a sparse regularization (l1-norm type) to the minimum variance criterion. By solving this optimization problem, an l1-regularized recursive least squares (l1-based RLS) adaptive algorithm is developed. We also discuss the SINR stea...
Source: IEEE Transactions on Signal Processing - February 1, 2012 Category: Biomedical Engineering Source Type: research
IEEE Transactions on Medical Imaging information for authorsEmail this article to a colleague.
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(Source: IEE Transactions on Medical Imaging)
Source: IEE Transactions on Medical Imaging - February 1, 2012 Category: Biomedical Engineering Source Type: research
Have you visited lately? www.ieee.orgEmail this article to a colleague.
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(Source: IEE Transactions on Medical Imaging)
Source: IEE Transactions on Medical Imaging - February 1, 2012 Category: Biomedical Engineering Source Type: research
Explore IEL IEEE's most comprehensive resourceEmail this article to a colleague.
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(Source: IEE Transactions on Medical Imaging)
Source: IEE Transactions on Medical Imaging - February 1, 2012 Category: Biomedical Engineering Source Type: research
Robust Statistical Fusion of Image LabelsEmail this article to a colleague.
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Image labeling and parcellation (i.e., assigning structure to a collection of voxels) are critical tasks for the assessment of volumetric and morphometric features in medical imaging data. The process of image labeling is inherently error prone as images are corrupted by noise and artifacts. Even expert interpretations are subject to subjectivity and the precision of the individual raters. Hence, all labels must be considered imperfect with some degree of inherent variability. One may seek multiple independent assessments to both reduce this variability and quantify the degree of uncertainty. Existing techniques have explo...
Source: IEE Transactions on Medical Imaging - February 1, 2012 Category: Biomedical Engineering Source Type: research
Robustness of Quantitative Compressive Sensing MRI: The Effect of Random Undersampling Patterns on Derived Parameters for DCE- and DSC-MRIEmail this article to a colleague.
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Compressive sensing (CS) in Cartesian magnetic resonance imaging (MRI) involves random partial Fourier acquisitions. The random nature of these acquisitions can lead to variance in reconstruction errors. In quantitative MRI, variance in the reconstructed images translates to an uncertainty in the derived quantitative maps. We show that for a spatially regularized 2 $times$-accelerated human breast CS DCE-MRI acquisition with a 192$^{2}$ matrix size, the coefficients of variation (CoVs) in voxel-level parameters due to the random acquisition are 1.1%, 0.96%, and 1.5% for the tissue parameters $K^{rm trans}$, $v_{rm e}$, and...
Source: IEE Transactions on Medical Imaging - February 1, 2012 Category: Biomedical Engineering Source Type: research
Cardiac Motion and Deformation Recovery From MRI: A ReviewEmail this article to a colleague.
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Magnetic resonance imaging (MRI) is a highly advanced and sophisticated imaging modality for cardiac motion tracking and analysis, capable of providing 3D analysis of global and regional cardiac function with great accuracy and reproducibility. In the past few years, numerous efforts have been devoted to cardiac motion recovery and deformation analysis from MR image sequences. Many approaches have been proposed for tracking cardiac motion and for computing deformation parameters and mechanical properties of the heart from a variety of cardiac MR imaging techniques. In this paper, an updated and critical review of cardiac m...
Source: IEE Transactions on Medical Imaging - February 1, 2012 Category: Biomedical Engineering Source Type: research
Supervoxel-Based Segmentation of Mitochondria in EM Image Stacks With Learned Shape FeaturesEmail this article to a colleague.
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It is becoming increasingly clear that mitochondria play an important role in neural function. Recent studies show mitochondrial morphology to be crucial to cellular physiology and synaptic function and a link between mitochondrial defects and neuro-degenerative diseases is strongly suspected. Electron microscopy (EM), with its very high resolution in all three directions, is one of the key tools to look more closely into these issues but the huge amounts of data it produces make automated analysis necessary. State-of-the-art computer vision algorithms designed to operate on natural 2-D images tend to perform poorly when a...
Source: IEE Transactions on Medical Imaging - February 1, 2012 Category: Biomedical Engineering Source Type: research
Fully Automated Attenuation Measurement and Motion Correction in FLIP Image SequencesEmail this article to a colleague.
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Fluorescence loss in photobleaching (FLIP) is a method to study compartment connectivity in living cells. A FLIP sequence is obtained by alternatively bleaching a spot in a cell and acquiring an image of the complete cell. Connectivity is estimated by comparing fluorescence signal attenuation in different cell parts. The measurements of the fluorescence attenuation are hampered by the low signal to noise ratio of the FLIP sequences, by sudden sample shifts and by sample drift. This paper describes a method that estimates the attenuation by modeling photobleaching as exponentially decaying signals. Sudden motion artifacts a...
Source: IEE Transactions on Medical Imaging - February 1, 2012 Category: Biomedical Engineering Source Type: research
Automated 3-D Segmentation of Lungs With Lung Cancer in CT Data Using a Novel Robust Active Shape Model ApproachEmail this article to a colleague.
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We present a new fully automated approach for segmentation of lungs with such high-density pathologies. Our method consists of two main processing steps. First, a novel robust active shape model (RASM) matching method is utilized to roughly segment the outline of the lungs. The initial position of the RASM is found by means of a rib cage detection method. Second, an optimal surface finding approach is utilized to further adapt the initial segmentation result to the lung. Left and right lungs are segmented individually. An evaluation on 30 data sets with 40 abnormal (lung cancer) and 20 normal left/right lungs resulted in a...
Source: IEE Transactions on Medical Imaging - February 1, 2012 Category: Biomedical Engineering Source Type: research
Super-Resolution in Respiratory Synchronized Positron Emission TomographyEmail this article to a colleague.
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In conclusion, the use of SR techniques applied to respiratory motion synchronized images lead to motion compensation combined with improved image SNR and contrast, wi-
hout any increase in the overall acquisition times. (Source: IEE Transactions on Medical Imaging)
Source: IEE Transactions on Medical Imaging - February 1, 2012 Category: Biomedical Engineering Source Type: research
Error Analysis of Nonconstant Admittivity for MR-Based Electric Property ImagingEmail this article to a colleague.
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Magnetic resonance electrical property tomography (MREPT) is a new imaging modality to visualize a distribution of admittivity $gamma=sigma+iomegavarepsilon$ inside the human body where $sigma$ and $varepsilon$ denote electrical conductivity and permittivity, respectively. Using B1 maps acquired by an magnetic resonance imaging scanner, it produces cross-sectional images of $sigma$ and $varepsilon$ at the Larmor frequency. Since current MREPT methods rely on an assumption of a locally homogeneous admittivity, there occurs a reconstruction error where this assumption fails. Rigorously analyzing the reconstruction error in M...
Source: IEE Transactions on Medical Imaging - February 1, 2012 Category: Biomedical Engineering Source Type: research
High Range Resolution Ultrasonographic Vascular Imaging Using Frequency Domain Interferometry With the Capon MethodEmail this article to a colleague.
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For high range resolution ultrasonographic vascular imaging, we apply frequency domain interferometry with the Capon method to a single frame of in-phase and quadrature (IQ) data acquired using a commercial ultrasonographic device with a 7.5 MHz linear array probe. In order to tailor the adaptive beamforming algorithm for ultrasonography we employ four techniques: frequency averaging, whitening, radio-frequency data oversampling, and the moving average. The proposed method had a range resolution of 0.05 mm in an ideal condition, and experimentally detected the boundary couple 0.17 mm apart, where the boundary couple was in...
Source: IEE Transactions on Medical Imaging - February 1, 2012 Category: Biomedical Engineering Source Type: research
Improved Regional Activity Quantitation in Nuclear Medicine Using a New Approach to Correct for Tissue Partial Volume and Spillover EffectsEmail this article to a colleague.
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We have developed a new method of compensating for effects of partial volume and spillover in dual-modality imaging. The approach requires segmentation of just a few tissue types within a small volume-of-interest (VOI) surrounding a lesion; the algorithm estimates simultaneously, from projection data, the activity concentration within each segmented tissue inside the VOI. Measured emission projections were fitted to the sum of resolution-blurred projections of each such tissue, scaled by its unknown activity concentration, plus a global background contribution obtained by reprojection through the reconstructed image volume...
Source: IEE Transactions on Medical Imaging - February 1, 2012 Category: Biomedical Engineering Source Type: research
Performance Analysis for Magnetic Resonance Imaging With Nonlinear Encoding FieldsEmail this article to a colleague.
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Nonlinear spatial encoding fields for magnetic resonance imaging (MRI) hold great promise to improve on the linear gradient approaches by, for example, enabling reduced imaging times. Imaging schemes that employ general nonlinear encoding fields are difficult to analyze using traditional measures. In particular, the resolution is spatially varying, characterized by a position-dependent point spread function (PSF). Likewise, the use of nonlinear encoding fields creates an additional spatial dependence on the signal-to-noise ratio (SNR). Although the two properties of resolution and SNR are linked, in this work we focus on t...
Source: IEE Transactions on Medical Imaging - February 1, 2012 Category: Biomedical Engineering Source Type: research
Evaluation of Segmentation Algorithms on Cell Populations Using CDF CurvesEmail this article to a colleague.
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Cell segmentation is a critical step in the analysis pipeline for most imaging cytometry experiments and evaluating the performance of segmentation algorithms is important for aiding the selection of segmentation algorithms. Four popular algorithms are evaluated based on their cell segmentation performance. Because segmentation involves the classification of pixels belonging to regions within the cell or belonging to background, these algorithms are evaluated based on their total misclassification error. Misclassification error is particularly relevant in the analysis of quantitative descriptors of cell morphology involvin...
Source: IEE Transactions on Medical Imaging - February 1, 2012 Category: Biomedical Engineering Source Type: research
Medusa: A Scalable MR Console Using USBEmail this article to a colleague.
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Magnetic resonance imaging (MRI) pulse sequence consoles typically employ closed proprietary hardware, software, and interfaces, making difficult any adaptation for innovative experimental technology. Yet MRI systems research is trending to higher channel count receivers, transmitters, gradient/shims, and unique interfaces for interventional applications. Customized console designs are now feasible for researchers with modern electronic components, but high data rates, synchronization, scalability, and cost present important challenges. Implementing large multichannel MR systems with efficiency and flexibility requires a s...
Source: IEE Transactions on Medical Imaging - February 1, 2012 Category: Biomedical Engineering Source Type: research
A Semi-Markov Model for Mitosis Segmentation in Time-Lapse Phase Contrast Microscopy Image Sequences of Stem Cell PopulationsEmail this article to a colleague.
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We propose a semi-Markov model trained in a max-margin learning framework for mitosis event segmentation in large-scale time-lapse phase contrast microscopy image sequences of stem cell populations. Our method consists of three steps. First, we apply a constrained optimization based microscopy image segmentation method that exploits phase contrast optics to extract candidate subsequences in the input image sequence that contains mitosis events. Then, we apply a max-margin hidden conditional random field (MM-HCRF) classifier learned from human-annotated mitotic and nonmitotic sequences to classify each candidate subsequence...
Source: IEE Transactions on Medical Imaging - February 1, 2012 Category: Biomedical Engineering Source Type: research
Automatic Construction of Parts+Geometry Models for Initializing Groupwise RegistrationEmail this article to a colleague.
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Groupwise nonrigid image registration is a powerful tool to automatically establish correspondences across sets of images. Such correspondences are widely used for constructing statistical models of shape and appearance. As existing techniques usually treat registration as an optimization problem, a good initialization is required. Although the standard initialization—affine transformation—generally works well, it is often inadequate when registering images of complex structures. In this paper we present a more sophisticated method that uses the sparse matches of a parts+geometry model as the initialization. ...
Source: IEE Transactions on Medical Imaging - February 1, 2012 Category: Biomedical Engineering Source Type: research
Incompressible Deformation Estimation Algorithm (IDEA) From Tagged MR ImagesEmail this article to a colleague.
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Measuring the 3D motion of muscular tissues, e.g., the heart or the tongue, using magnetic resonance (MR) tagging is typically carried out by interpolating the 2D motion information measured on orthogonal stacks of images. The incompressibility of muscle tissue is an important constraint on the reconstructed motion field and can significantly help to counter the sparsity and incompleteness of the available motion information. Previous methods utilizing this fact produced incompressible motions with limited accuracy. In this paper, we present an incompressible deformation estimation algorithm (IDEA) that reconstructs a dens...
Source: IEE Transactions on Medical Imaging - February 1, 2012 Category: Biomedical Engineering Source Type: research
Prior Shape Level Set Segmentation on Multistep Generated Probability Maps of MR Datasets for Fully Automatic Kidney Parenchyma VolumetryEmail this article to a colleague.
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Fully automatic 3-D segmentation techniques for clinical applications or epidemiological studies have proven to be a very challenging task in the domain of medical image analysis. 3-D organ segmentation on magnetic resonance (MR) datasets requires a well-designed segmentation strategy due to imaging artifacts, partial volume effects, and similar tissue properties of adjacent tissues. We developed a 3-D segmentation framework for fully automatic kidney parenchyma volumetry that uses Bayesian concepts for probability map generation. The probability map quality is improved in a multistep refinement approach. An extended prior...
Source: IEE Transactions on Medical Imaging - February 1, 2012 Category: Biomedical Engineering Source Type: research
Principal Component Based Diffeomorphic Surface MappingEmail this article to a colleague.
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We present a new diffeomorphic surface mapping algorithm under the framework of large deformation diffeomorphic metric mapping (LDDMM). Unlike existing LDDMM approaches, this new algorithm reduces the complexity of the estimation of diffeomorphic transformations by incorporating a shape prior in which a nonlinear diffeomorphic shape space is represented by a linear space of initial momenta of diffeomorphic geodesic flows from a fixed template. In addition, for the first time, the diffeomorphic mapping is formulated within a decision-theoretic scheme based on Bayesian modeling in which an empirical shape prior is characteri...
Source: IEE Transactions on Medical Imaging - February 1, 2012 Category: Biomedical Engineering Source Type: research
Reference-Free PRFS MR-Thermometry Using Near-Harmonic 2-D Reconstruction of the Background PhaseEmail this article to a colleague.
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Proton resonance frequency shift (PRFS) MR thermometry (MRT) is the generally preferred method for monitoring thermal ablation, typically implemented with gradient-echo (GRE) sequences. Standard PRFS MRT is based on the subtraction of a temporal reference phase map and is, therefore, intrinsically sensitive to tissue motion (including deformation) and to external perturbation of the magnetic field. Reference-free (or reference-less) PRFS MRT has been previously described by Rieke and was based on a 2-D polynomial fit performed on phase data from outside the heated region, to estimate the background phase inside the region ...
Source: IEE Transactions on Medical Imaging - February 1, 2012 Category: Biomedical Engineering Source Type: research
Automated Brain Structure Segmentation Based on Atlas Registration and Appearance ModelsEmail this article to a colleague.
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Accurate automated brain structure segmentation methods facilitate the analysis of large-scale neuroimaging studies. This work describes a novel method for brain structure segmentation in magnetic resonance images that combines information about a structure's location and appearance. The spatial model is implemented by registering multiple atlas images to the target image and creating a spatial probability map. The structure's appearance is modeled by a classifier based on Gaussian scale-space features. These components are combined with a regularization term in a Bayesian framework that is globally optimized using graph c...
Source: IEE Transactions on Medical Imaging - February 1, 2012 Category: Biomedical Engineering Source Type: research
Generating Super Stimulated-Echoes in MRI and Their Application to Hyperpolarized C-13 Diffusion Metabolic ImagingEmail this article to a colleague.
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Stimulated-echoes in MR can be used to provide high sensitivity to motion and flow, creating diffusion and perfusion weighting as well as $T_{1}$ contrast, but conventional approaches inherently suffer from a 50% signal loss. The super stimulated-echo, which uses a specialized radio-frequency (RF) pulse train, has been proposed in order to improve the signal while preserving motion and $T_{1}$ sensitivity. This paper presents a novel and straightforward method for designing the super stimulated-echo pulse train using inversion pulse design techniques. This method can also create adiabatic designs with an improved response ...
Source: IEE Transactions on Medical Imaging - February 1, 2012 Category: Biomedical Engineering Source Type: research
Brain Surface Conformal Parameterization With the Ricci FlowEmail this article to a colleague.
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In brain mapping research, parameterized 3-D surface models are of great interest for statistical comparisons of anatomy, surface-based registration, and signal processing. Here, we introduce the theories of continuous and discrete surface Ricci flow, which can create Riemannian metrics on surfaces with arbitrary topologies with user-defined Gaussian curvatures. The resulting conformal parameterizations have no singularities and they are intrinsic and stable. First, we convert a cortical surface model into a multiple boundary surface by cutting along selected anatomical landmark curves. Secondly, we conformally parameteriz...
Source: IEE Transactions on Medical Imaging - February 1, 2012 Category: Biomedical Engineering Source Type: research
Automatic Detection and Segmentation of Lymph Nodes From CT DataEmail this article to a colleague.
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Lymph nodes are assessed routinely in clinical practice and their size is followed throughout radiation or chemotherapy to monitor the effectiveness of cancer treatment. This paper presents a robust learning-based method for automatic detection and segmentation of solid lymph nodes from CT data, with the following contributions. First, it presents a learning based approach to solid lymph node detection that relies on marginal space learning to achieve great speedup with virtually no loss in accuracy. Second, it presents a computationally efficient segmentation method for solid lymph nodes (LN). Third, it introduces two new...
Source: IEE Transactions on Medical Imaging - February 1, 2012 Category: Biomedical Engineering Source Type: research
A Function for Quality Evaluation of Retinal Vessel SegmentationsEmail this article to a colleague.
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Retinal blood vessel assessment plays an important role in the diagnosis of ophthalmic pathologies. The use of digital images for this purpose enables the application of a computerized approach and has fostered the development of multiple methods for automated vascular tree segmentation. Metrics based on contingency tables for binary classification have been widely used for evaluating the performance of these algorithms. Metrics from this family are based on the measurement of a success or failure rate in the detected pixels, obtained by means of pixel-to-pixel comparison between the automated segmentation and a manually-l...
Source: IEE Transactions on Medical Imaging - February 1, 2012 Category: Biomedical Engineering Source Type: research
Fasciculography: Robust Prior-Free Real-Time Normalized Volumetric Neural Tract ParcellationEmail this article to a colleague.
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Fiber tracking in diffusion tensor magnetic resonance images (DTIs) reveals 3-D structural connectivity of the brain conveniently and thus is a viable tool for investigating neural differences. Unfortunately, local noise, image artifacts and numerical tracking errors during integration-based techniques are cumulative. Prematurely terminated fibers and under-sampled fiber bundles result in incomplete reconstruction of white matter fiber tracts and hence incorrect anatomical measurements. Quantitative cross-subject tract analysis, which is critical for abnormality detection, is complicated by inefficient and inaccurate tract...
Source: IEE Transactions on Medical Imaging - February 1, 2012 Category: Biomedical Engineering Source Type: research
NMF-SVM Based CAD Tool Applied to Functional Brain Images for the Diagnosis of Alzheimer's DiseaseEmail this article to a colleague.
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This paper presents a novel computer-aided diagnosis (CAD) technique for the early diagnosis of the Alzheimer's disease (AD) based on nonnegative matrix factorization (NMF) and support vector machines (SVM) with bounds of confidence. The CAD tool is designed for the study and classification of functional brain images. For this purpose, two different brain image databases are selected: a single photon emission computed tomography (SPECT) database and positron emission tomography (PET) images, both of them containing data for both Alzheimer's disease (AD) patients and healthy controls as a reference. These databases are anal...
Source: IEE Transactions on Medical Imaging - February 1, 2012 Category: Biomedical Engineering Source Type: research
HRF Estimation in fMRI Data With an Unknown Drift Matrix by Iterative Minimization of the Kullback–Leibler DivergenceEmail this article to a colleague.
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Hemodynamic response function (HRF) estimation in noisy functional magnetic resonance imaging (fMRI) plays an important role when investigating the temporal dynamic of a brain region response during activations. Nonparametric methods which allow more flexibility in the estimation by inferring the HRF at each time sample have provided improved performance in comparison to the parametric methods. In this paper, the mixed-effects model is used to derive a new algorithm for nonparametric maximum likelihood HRF estimation. In this model, the random effect is used to better account for the variability of the drift. Contrary to t...
Source: IEE Transactions on Medical Imaging - February 1, 2012 Category: Biomedical Engineering Source Type: research
Multi-Channel Microstrip Transceiver Arrays Using Harmonics for High Field MR Imaging in HumansEmail this article to a colleague.
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Radio-frequency (RF) transceiver array design using primary and higher order harmonics for in vivo parallel magnetic resonance imaging imaging (MRI) and spectroscopic imaging is proposed. The improved electromagnetic decoupling performance, unique magnetic field distributions and high-frequency operation capabilities of higher-order harmonics of resonators would benefit transceiver arrays for parallel MRI, especially for ultrahigh field parallel MRI. To demonstrate this technique, microstrip transceiver arrays using first and second harmonic resonators were developed for human head parallel imaging at 7T. Phantom and human...
Source: IEE Transactions on Medical Imaging - February 1, 2012 Category: Biomedical Engineering Source Type: research
Joint Modeling of Anatomical and Functional Connectivity for Population StudiesEmail this article to a colleague.
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We propose a novel probabilistic framework to merge information from diffusion weighted imaging tractography and resting-state functional magnetic resonance imaging correlations to identify connectivity patterns in the brain. In particular, we model the interaction between latent anatomical and functional connectivity and present an intuitive extension to population studies. We employ the EM algorithm to estimate the model parameters by maximizing the data likelihood. The method simultaneously infers the templates of latent connectivity for each population and the differences in connectivity between the groups. We demonstr...
Source: IEE Transactions on Medical Imaging - February 1, 2012 Category: Biomedical Engineering Source Type: research
Image Similarity and Tissue Overlaps as Surrogates for Image Registration Accuracy: Widely Used but UnreliableEmail this article to a colleague.
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The accuracy of nonrigid image registrations is commonly approximated using surrogate measures such as tissue label overlap scores, image similarity, image difference, or transformation inverse consistency error. This paper provides experimental evidence that these measures, even when used in combination, cannot distinguish accurate from inaccurate registrations. To this end, we introduce a “registration” algorithm that generates highly inaccurate image transformations, yet performs extremely well in terms of the surrogate measures. Of the tested criteria, only overlap scores of localized anatomical regions r...
Source: IEE Transactions on Medical Imaging - February 1, 2012 Category: Biomedical Engineering Source Type: research
IEEE Transactions on Medical Imaging publication informationEmail this article to a colleague.
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(Source: IEE Transactions on Medical Imaging)
Source: IEE Transactions on Medical Imaging - February 1, 2012 Category: Biomedical Engineering Source Type: research
Table of ContentsEmail this article to a colleague.
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(Source: IEE Transactions on Medical Imaging)
Source: IEE Transactions on Medical Imaging - February 1, 2012 Category: Biomedical Engineering Source Type: research
Special issue on TBME full papers and TBME letters on surgical roboticsEmail this article to a colleague.
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(Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - February 1, 2012 Category: Biomedical Engineering Source Type: research
Control System Design for a Continuous Positive Airway Pressure VentilatorEmail this article to a colleague.
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In this study an experimental CPAP ventilator was constructed using an application-specific CPAP blower/motor assembly and a microprocessor. To minimize pressure variations caused by spontaneous breathing as well as the uncomfortable feeling of exhaling against positive pressure, we developed a composite control approach including the feed forward compensator and feedback proportional-integral-derivative (PID) compensator to regulate the pressure delivered to OSAS patients. The Ziegler and Nichols method was used to tune PID controller parameters. And then we used a gas flow analyzer (VT PLUS HF) to test pressure curves, f...
Source: BioMedical Engineering OnLine - February 1, 2012 Category: Biomedical Engineering Authors: Zheng-Long ChenZhao-Yan HuHou-De Dai Source Type: research
DiBa: A Data-Driven Bayesian Algorithm for Sleep Spindle DetectionEmail this article to a colleague.
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Although the spontaneous brain rhythms of sleep have commanded much recent interest, their detection and analysis remains suboptimal. In this paper, we develop a data-driven Bayesian algorithm for sleep spindle detection on the electroencephalography (EEG). The algorithm exploits the Karhunen–Loève transform and Bayesian hypothesis testing to produce the instantaneous probability of a spindle’s presence with maximal resolution. In addition to possessing flexibility, transparency, and scalability, this algorithm could perform at levels superior to standard methods for EEG event detection. (Source: IEEE ...
Source: IEEE Transactions on Biomedical Engineering - February 1, 2012 Category: Biomedical Engineering Source Type: research
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Source: IEEE Transactions on Biomedical Circuits and Systems - February 1, 2012 Category: Biomedical Engineering Source Type: research
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(Source: IEEE Transactions on Biomedical Circuits and Systems)
Source: IEEE Transactions on Biomedical Circuits and Systems - February 1, 2012 Category: Biomedical Engineering Source Type: research
Modeling and Implementation of Voltage-Mode CMOS Dendrites on a Reconfigurable Analog PlatformEmail this article to a colleague.
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Many decades ago, Wilfrid Rall and others laid the foundations for mathematical modeling of dendrites using cable theory. With reconfigurable analog architectures, we are now able to accurately program different circuit architectures to emulate dendrites. Our work has shown that these circuits accurately reproduce results predicted from cable theory when inputs to the system are small. For large inputs, interesting nonlinear effects begin to take hold. (Source: IEEE Transactions on Biomedical Circuits and Systems)
Source: IEEE Transactions on Biomedical Circuits and Systems - February 1, 2012 Category: Biomedical Engineering Source Type: research
Small-Signal Neural Models and Their ApplicationsEmail this article to a colleague.
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This paper introduces the use of the concept of small-signal analysis, commonly used in circuit design, for understanding neural models. We show that neural models, varying in complexity from Hodgkin–Huxley to integrate and fire have similar small-signal models when their corresponding differential equations are close to the same bifurcation with respect to input current. Three applications of small-signal neural models are shown. First, some of the properties of cortical neurons described by Izhikevich are explained intuitively through small-signal analysis. Second, we use small-signal models for deriving parameter...
Source: IEEE Transactions on Biomedical Circuits and Systems - February 1, 2012 Category: Biomedical Engineering Source Type: research
Onboard Tagging for Real-Time Quality Assessment of Photoplethysmograms Acquired by a Wireless Reflectance Pulse OximeterEmail this article to a colleague.
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Onboard assessment of photoplethysmogram (PPG) quality could reduce unnecessary data transmission on battery-powered wireless pulse oximeters and improve the viability of the electronic patient records to which these data are stored. These algorithms show promise to increase the intelligence level of former “dumb” medical devices: devices that acquire and forward data but leave data interpretation to the clinician or host system. To this end, the authors have developed a unique onboard feature detection algorithm to assess the quality of PPGs acquired with a custom reflectance mode, wireless pulse oximeter. T...
Source: IEEE Transactions on Biomedical Circuits and Systems - February 1, 2012 Category: Biomedical Engineering Source Type: research
An Electronic Patch for Wearable Health Monitoring by Reflectance Pulse OximetryEmail this article to a colleague.
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We report the development of an Electronic Patch for wearable health monitoring. The Electronic Patch is a new health monitoring system incorporating biomedical sensors, microelectronics, radio frequency (RF) communication, and a battery embedded in a 3-dimensional hydrocolloid polymer. In this paper the Electronic Patch is demonstrated with a new optical biomedical sensor for reflectance pulse oximetry so that the Electronic Patch in this case can measure the pulse and the oxygen saturation. The reflectance pulse oximetry solution is based on a recently developed annular backside silicon photodiode to enable low power con...
Source: IEEE Transactions on Biomedical Circuits and Systems - February 1, 2012 Category: Biomedical Engineering Source Type: research
