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This page shows you the most recent publications within this specialty of the MedWorm directory.

Adaptive Non Orthogonal MFSK
We present an alternate system for non-coherent systems using non-orthogonal tones, spread non-uniformly throughout the bandwidth, which outperforms the equivalent orthogonal tone system. We demonstrate that from a theoretical capacity point of view, the same bit rate could be achieved by the proposed system with as much as 2.5 dB lower signal-to-noise ratio (SNR). For some practical configurations we demonstrate as much as 2 dB of gain. We present the performance with maximum-likelihood (ML) receivers as well as least-squares (LS) receivers as well as lower complexity receivers based on compressed sensing (CS). We also de...
Source: IEEE Transactions on Signal Processing - October 31, 2014 Category: Biomedical Engineering Source Type: research

EMBC 2015 Milano
(Source: IEE Transactions on Medical Imaging)
Source: IEE Transactions on Medical Imaging - October 31, 2014 Category: Biomedical Engineering Source Type: research

EMBS career center
(Source: IEE Transactions on Medical Imaging)
Source: IEE Transactions on Medical Imaging - October 31, 2014 Category: Biomedical Engineering Source Type: research

IEEE Transactions on Medical Imaging information for authors
(Source: IEE Transactions on Medical Imaging)
Source: IEE Transactions on Medical Imaging - October 31, 2014 Category: Biomedical Engineering Source Type: research

[Blank page - back cover]
(Source: IEE Transactions on Medical Imaging)
Source: IEE Transactions on Medical Imaging - October 31, 2014 Category: Biomedical Engineering Source Type: research

Local Phase Tensor Features for 3-D Ultrasound to Statistical Shape+Pose Spine Model Registration
Most conventional spine interventions are performed under X-ray fluoroscopy guidance. In recent years, there has been a growing interest to develop nonionizing imaging alternatives to guide these procedures. Ultrasound guidance has emerged as a leading alternative. However, a challenging problem is automatic identification of the spinal anatomy in ultrasound data. In this paper, we propose a local phase-based bone feature enhancement technique that can robustly identify the spine surface in ultrasound images. The local phase information is obtained using a gradient energy tensor filter. This information is used to construc...
Source: IEE Transactions on Medical Imaging - October 31, 2014 Category: Biomedical Engineering Source Type: research

Markerless Motion Tracking of Awake Animals in Positron Emission Tomography
Noninvasive functional imaging of awake, unrestrained small animals using motion-compensation removes the need for anesthetics and enables an animal's behavioral response to stimuli or administered drugs to be studied concurrently with imaging. While the feasibility of motion-compensated radiotracer imaging of awake rodents using marker-based optical motion tracking has been shown, markerless motion tracking would avoid the risk of marker detachment, streamline the experimental workflow, and potentially provide more accurate pose estimates over a greater range of motion. We have developed a stereoscopic tracking system whi...
Source: IEE Transactions on Medical Imaging - October 31, 2014 Category: Biomedical Engineering Source Type: research

In Silico Modeling of Magnetic Resonance Flow Imaging in Complex Vascular Networks
The paper presents a computational model of magnetic resonance (MR) flow imaging. The model consists of three components. The first component is used to generate complex vascular structures, while the second one provides blood flow characteristics in the generated vascular structures by the lattice Boltzmann method. The third component makes use of the generated vascular structures and flow characteristics to simulate MR flow imaging. To meet computational demands, parallel algorithms are applied in all the components. The proposed approach is verified in three stages. In the first stage, experimental validation is perform...
Source: IEE Transactions on Medical Imaging - October 31, 2014 Category: Biomedical Engineering Source Type: research

Correction to “Learning to Rank Atlases for Multiple-Atlas Segmentation”
(Source: IEE Transactions on Medical Imaging)
Source: IEE Transactions on Medical Imaging - October 31, 2014 Category: Biomedical Engineering Source Type: research

A New Fast Accurate Nonlinear Medical Image Registration Program Including Surface Preserving Regularization
We describe the methods used in Ezys and present results from two important neuroscience applications. Firstly inter-subject registration for transfer of anatomical labels and secondly longitudinal intra-subject registration to quantify atrophy in individual subjects. Both experiments showed that Ezys registration compares favorably with other popular elastic image registration programs. We believe Ezys is a useful tool for neuroscience and other applications, and also demonstrates the value of developing of novel image processing filters specifically designed for GPUs. (Source: IEE Transactions on Medical Imaging)
Source: IEE Transactions on Medical Imaging - October 31, 2014 Category: Biomedical Engineering Source Type: research

Autonomous Real-Time Interventional Scan Plane Control With a 3-D Shape-Sensing Needle
This study demonstrates real-time scan plane control dependent on three-dimensional needle bending, as measured from magnetic resonance imaging (MRI)-compatible optical strain sensors. A biopsy needle with embedded fiber Bragg grating (FBG) sensors to measure surface strains is used to estimate its full 3-D shape and control the imaging plane of an MR scanner in real-time, based on the needle's estimated profile. The needle and scanner coordinate frames are registered to each other via miniature radio-frequency (RF) tracking coils, and the scan planes autonomously track the needle as it is deflected, keeping its tip in vie...
Source: IEE Transactions on Medical Imaging - October 31, 2014 Category: Biomedical Engineering Source Type: research

External Vibration Multi-Directional Ultrasound Shearwave Elastography (EVMUSE): Application in Liver Fibrosis Staging
In this study, we developed a new method called external vibration multi-directional ultrasound shearwave elastography (EVMUSE), in which external vibration from a loudspeaker was used to generate a multi-directional shear wave field. A directional filter was then applied to separate the complex shear wave field into several shear wave fields propagating in different directions. A 2-D shear wave speed map was reconstructed from each individual shear wave field, and a final 2-D shear wave speed map was constructed by compounding these individual wave speed maps. The method was validated using two homogeneous phantoms and on...
Source: IEE Transactions on Medical Imaging - October 31, 2014 Category: Biomedical Engineering Source Type: research

Axial Ultrasound B-Scans of the Entire Eye With a 20-MHz Linear Array: Correction of Crystalline Lens Phase Aberration by Applying Fermat's Principle
In ophthalmic ultrasonography the crystalline lens is known to be the main source of phase aberration, causing a significant decrease in resolution and distortion effects on axial B-scans. This paper proposes a computationally efficient method to correct the phase aberration arising from the crystalline lens, including refraction effects using a bending ray tracing approach based on Fermat's principle. This method is used as a basis to perform eye-adapted beamforming (BF), with appropriate focusing delays for a 128-element 20-MHz linear array in both emission and reception. Implementation was achieved on an in-house develo...
Source: IEE Transactions on Medical Imaging - October 31, 2014 Category: Biomedical Engineering Source Type: research

Motion Adaptive Patch-Based Low-Rank Approach for Compressed Sensing Cardiac Cine MRI
One of the technical challenges in cine magnetic resonance imaging (MRI) is to reduce the acquisition time to enable the high spatio-temporal resolution imaging of a cardiac volume within a short scan time. Recently, compressed sensing approaches have been investigated extensively for highly accelerated cine MRI by exploiting transform domain sparsity using linear transforms such as wavelets, and Fourier. However, in cardiac cine imaging, the cardiac volume changes significantly between frames, and there often exist abrupt pixel value changes along time. In order to effectively sparsify such temporal variations, it is nece...
Source: IEE Transactions on Medical Imaging - October 31, 2014 Category: Biomedical Engineering Source Type: research

An Integrated Framework for Joint HRF and Drift Estimation and HbO/HbR Signal Improvement in fNIRS Data
Nonparametric hemodynamic response function (HRF) estimation in functional near-infrared spectroscopy (fNIRS) data plays an important role when investigating the temporal dynamics of a brain region response during activations. Assuming the drift arising from both physical and physiological effects in fNIRS data is Lipschitz continuous; a novel algorithm for joint HRF and drift estimation is derived in this paper. The proposed algorithm estimates the HRF by applying a first-order differencing to the fNIRS time series samples in order to remove the drift effect. An estimate of the drift is then obtained using a wavelet thres...
Source: IEE Transactions on Medical Imaging - October 31, 2014 Category: Biomedical Engineering Source Type: research

Improved Myocardial Motion Estimation Combining Tissue Doppler and B-Mode Echocardiographic Images
We propose a technique for myocardial motion estimation based on image registration using both B-mode echocardiographic images and tissue Doppler sequences acquired interleaved. The velocity field is modeled continuously using B-splines and the spatiotemporal transform is constrained to be diffeomorphic. Images before scan conversion are used to improve the accuracy of the estimation. The similarity measure includes a model of the speckle pattern distribution of B-mode images. It also penalizes the disagreement between tissue Doppler velocities and the estimated velocity field. Registration accuracy is evaluated and compar...
Source: IEE Transactions on Medical Imaging - October 31, 2014 Category: Biomedical Engineering Source Type: research

Sparse Matrix Beamforming and Image Reconstruction for 2-D HIFU Monitoring Using Harmonic Motion Imaging for Focused Ultrasound (HMIFU) With In Vitro Validation
In this study, the algorithm was implemented onto a fully integrated, clinically relevant HMIFU system. A single divergent transmit beam was used while fast beamforming was implemented using a GPU-based delay-and-sum method and a sparse-matrix operation. Axial HMI displacements were then estimated from the RF signals using a 1-D normalized cross-correlation method and streamed to a graphic user interface with frame rates up to 15 Hz, a 100-fold increase compared to conventional CPU-based processing. The real-time feedback rate does not require interrupting the HIFU treatment. Results in phantom experiments showed reproduci...
Source: IEE Transactions on Medical Imaging - October 31, 2014 Category: Biomedical Engineering Source Type: research

IEEE Transactions on Medical Imaging publication information
(Source: IEE Transactions on Medical Imaging)
Source: IEE Transactions on Medical Imaging - October 31, 2014 Category: Biomedical Engineering Source Type: research

Table of Contents
(Source: IEE Transactions on Medical Imaging)
Source: IEE Transactions on Medical Imaging - October 31, 2014 Category: Biomedical Engineering Source Type: research

Editorial Board
(Source: Medical Engineering and Physics)
Source: Medical Engineering and Physics - October 31, 2014 Category: Biomedical Engineering Source Type: research

Effect of Respiratory Motion on Lung Counting Efficiency Using a 4D NURBS-Based Cardio-Torso (NCAT) Phantom
In this study, the HML has simulated the respiration motion using a 4D non-uniform rational b-spline (NURBS)-based Cardiac-Torso (NCAT) phantom and determined the impact of that motion on the counting efficiency of their lung counting system during measurement. The respiratory motion was simulated by a 16 timeframe cycled 4D NURBS-based NCAT phantom developed at the Department of Biomedical Engineering and Radiology, University of North Carolina. The counting efficiency of the four germanium detectors comprising the HML lung counting system was obtained using MCNPX version 2.6E for photon energies between 17 and 1,000 keV....
Source: Health Physics - October 31, 2014 Category: Radiology Tags: Papers Source Type: research

localisation of intracranial haematoma using electrical impedance tomography semi-array
Head injury is the main cause of death among young adults and children and may become the third greatest global death cause by 2020, due to the substantial number of associated deaths and cases of disability [1]. The UK National Confidential Enquiry into Patient, Outcome and Death (NCEPOD) reported that more than half of the patients that required neurosurgical advice were taken to hospitals with no on-site neurosurgical provision and only 14% of patients requiring secondary transfer to a neurosurgical centre had access to neurosurgical treatment within fourhours [2]. (Source: Medical Engineering and Physics)
Source: Medical Engineering and Physics - October 30, 2014 Category: Biomedical Engineering Authors: S. Bentolhoda Ayati, Kaddour Bouazza-Marouf, David Kerr Source Type: research

New technology shows promise for delivery of therapeutics to the brain
(Virginia Tech) The researchers from the Virginia Tech -- Wake Forest University School of Biomedical Engineering and Sciences described in their article in Technology published by the World Scientific Publishing Company that they have created 'a tool for blood-barrier-brain disruption that uses bursts of sub-microsecond bipolar pulses to enhance the transfer of large molecules to the brain.' (Source: EurekAlert! - Cancer)
Source: EurekAlert! - Cancer - October 29, 2014 Category: Cancer & Oncology Source Type: news

Wiener filtering of surface EMG with SNR estimation toward myoelectric control for neurological injury patients
Surface electromyogram (EMG) has been used as a control signal for myoelectric prostheses, rehabilitation robots or other assistive devices [1]. In studies involving neurological injuries, it happens often that voluntary surface EMG signals might be contaminated by spontaneous motor activity. For instance, when recording EMG signals from paretic muscles of stroke or spinal cord injury patients, abnormal hyper-excitable motor unit discharges may induce spontaneous tonic spikes, consequently compromising the voluntary EMG signals [2,3]. (Source: Medical Engineering and Physics)
Source: Medical Engineering and Physics - October 29, 2014 Category: Biomedical Engineering Authors: Jie Liu, Dongwen Ying, Ping Zhou Tags: Technical note Source Type: research

Regularized $M$ -Estimators of Scatter Matrix
In this paper, a general class of regularized $M$-estimators of scatter matrix are proposed that are suitable also for low or insufficient sample support (small $n$ and large $p$) problems. The considered class constitutes a natural generalization of $M$-estimators of scatter matrix (Maronna, 1976) and are defined as a solution to a penalized $M$-estimation cost function. Using the concept of geodesic convexity, we prove the existence and uniqueness of the regularized $M$-estimators of scatter and the existence and uniqueness of the solution to the corresponding $M$-estimating equations under general conditions. Unlike the...
Source: IEEE Transactions on Signal Processing - October 28, 2014 Category: Biomedical Engineering Source Type: research

Multiple 3D Far-Field/Near-Field Moving Target Localization Using Wideband Echo Chirp Signals
In this paper, we propose a technique for active detection and estimation of the range, radial velocity and direction-of-arrival (DOA) of multiple moving targets in the three-dimensional space for both far-field and near-field cases using wideband chirp signals. The proposed technique is an extension of the method recently proposed by Leong in [“Multiple target localization using wideband echo chirp signals,” IEEE Trans. Signal Process., vol. 61, no. 16, pp. 4077–4089, Aug. 2013] for the localization of multiple far-field targets in the two-dimensional space. In our approach, the received signals at a ...
Source: IEEE Transactions on Signal Processing - October 28, 2014 Category: Biomedical Engineering Source Type: research

Identifiability Analysis of Local Oscillator Phase Self-Calibration Based on Hybrid Cramér–Rao Bound in MIMO Radar
The identifiability of self-calibration of local oscillator phase perturbation in multiple-input multiple-output (MIMO) radar is analyzed in this paper. Four cases are considered: the absolute phase perturbation (APP) and phase perturbation differences (PPDs) in MIMO radar with widely separated antennas (SMIMOR), and the APP and PPDs in co-located MIMO radar (CMIMOR). The tightness of the hybrid Cramér–Rao bound (HCRB) is proved in all four cases. It is interesting that the problem in this paper is a special case in which HCRB is asymptotically tight for nonlinear observation models containing unknown determi...
Source: IEEE Transactions on Signal Processing - October 28, 2014 Category: Biomedical Engineering Source Type: research

On Receiver Design for Diffusion-Based Molecular Communication
Diffusion-based communication refers to the transfer of information using molecules as message carriers whose propagation is governed by the laws of molecular diffusion. It has been identified that diffusion-based communication is one of the most promising solutions for end-to-end communication between nanoscale devices. In this paper, the design of a diffusion-based communication system considering stochastic signaling, arbitrary orders of channel memory, and noisy reception is proposed. The diffusion in the cases of one, two, and three dimensions are all considered. Three signal processing techniques for the molecular co...
Source: IEEE Transactions on Signal Processing - October 28, 2014 Category: Biomedical Engineering Source Type: research

Convex Separable Problems With Linear Constraints in Signal Processing and Communications
In this paper, we focus on separable convex optimization problems with box constraints and a specific set of linear constraints. The solution is given in closed-form as a function of some Lagrange multipliers that can be computed through an iterative procedure in a finite number of steps. Graphical interpretations are given casting valuable insights into the proposed algorithm and allowing to retain some of the intuition spelled out by the water-filling policy. It turns out that it is not only general enough to compute the solution to different instances of the problem at hand, but also remarkably simple in the way it oper...
Source: IEEE Transactions on Signal Processing - October 28, 2014 Category: Biomedical Engineering Source Type: research

Soft Nonnegative Matrix Co-Factorization
This work introduces a new framework for nonnegative matrix factorization (NMF) in multisensor or multimodal data configurations, where taking into account the mutual dependence that exists between the related parallel streams of data is expected to improve performance. In contrast with previous works that focused on co-factorization methods —where some factors are shared by the different modalities— we propose a soft co-factorization scheme which accounts for possible local discrepancies across modalities or channels. This objective is formalized as an optimization problem where concurrent factorizations are...
Source: IEEE Transactions on Signal Processing - October 28, 2014 Category: Biomedical Engineering Source Type: research

Joint Distributed Beamforming and Power Allocation in Underlay Cognitive Two-Way Relay Links Using Second-Order Channel Statistics
Cognitive underlay amplify-and-forward (AF) two-way relay links require signal-to-interference-and-noise-ratio (SINR) balancing and maximizing strategies. And both secondary-to-primary and primary-to-secondary interference must be taken into consideration. To achieve these goals, we develop several joint distributed beamforming and power allocation algorithms. The development is based on the assumption of the availability of channel state information (CSI) of the relay-transceiver channels and the second-order-statistics (SOS) of all channels. For single-relay and multi-relay systems, a closed-form solution and an exhausti...
Source: IEEE Transactions on Signal Processing - October 28, 2014 Category: Biomedical Engineering Source Type: research

Dictionary Learning for Analysis-Synthesis Thresholding
We present a generalization of the basic process which utilizes a pair of overcomplete dictionaries, and can be applied to a wider range of recovery tasks. The two dictionaries are associated with the analysis and synthesis stages of the algorithm, and we thus name the process analysis-synthesis thresholding. The proposed training method trains both the dictionaries and threshold values simultaneously given examples of original and degraded signals, and does not require an explicit model of the degradation. Experiments with small-kernel image deblurring demonstrate the ability of our method to favorably compete with dedica...
Source: IEEE Transactions on Signal Processing - October 28, 2014 Category: Biomedical Engineering Source Type: research

Dimension Reduction for Hypothesis Testing in Worst-Case Scenarios
This paper considers a “one among many” detection problem, where one has to discriminate between pure noise and one among $L$ alternatives that are known up to an amplitude factor. Two issues linked to high dimensionality arise in this framework. First, the computational complexity associated to the Generalized Likelihood Ratio (GLR) with the constraint of sparsity-one inflates linearly with $L$, which can be an obstacle when multiple data sets have to be tested. Second, standard procedures based on dictionary learning aimed at reducing the dimensionality may suffer from severe power losses for some alternati...
Source: IEEE Transactions on Signal Processing - October 28, 2014 Category: Biomedical Engineering Source Type: research

Tensor Space-Time-Frequency Coding With Semi-Blind Receivers for MIMO Wireless Communication Systems
In this paper, we first introduce two new classes of constrained tensor models that we call generalized PARATUCK-$(N_1, N)$ and Tucker-$(N_1, N)$ models. A new tensor space-time-frequency (TSTF) coding structure is then proposed for MIMO OFDM-CDMA wireless communication systems. Two semi-blind receivers relying on the new generalized PARATUCK model are derived for solving the problem of joint channel and symbol estimation. One is iterative and based on a two-step alternating least squares (ALS) algorithm. The other one is a closed-form and low-complexity solution which consists of the Kronecker product least squares (KPLS)...
Source: IEEE Transactions on Signal Processing - October 28, 2014 Category: Biomedical Engineering Source Type: research

Gaussian Noise Time-Varying Power Spectrum Estimation With Minimal Statistics
This study extends previous works on minimal statistics on two aspects: first, the maximum likelihood estimate of the noise is formulated according to a clear analysis of the probability distribution of the time-frequency coefficients. Second, the choice of an optimal minimal subset is investigated. The signal versus noise discrimination property of the spectral kurtosis is used to select a minimal subset which ensures a fair trade-off between the bias and the variance of the estimator. The resulting performances are discussed and compared with those of other methods through numerical simulations on synthetic signals. The ...
Source: IEEE Transactions on Signal Processing - October 28, 2014 Category: Biomedical Engineering Source Type: research

Multi-source Signal Detection With Arbitrary Noise Covariance
Detecting the presence of signals in noise from multiple sources is a fundamental problem in statistical signal processing. In this paper, we consider multi-antenna signal detection when the noise covariance matrix is assumed to be arbitrary and unknown. We address this problem in the context of cognitive radio, where a multiple-primary-user detector is analyzed. This detector is known as Wilks' detector in statistics literature, which was derived under the generalized likelihood ratio criterion. We calculate the moments of Wilks' detector, which lead to simple and accurate approximate analytical formulae for the false ala...
Source: IEEE Transactions on Signal Processing - October 28, 2014 Category: Biomedical Engineering Source Type: research

Sequential Learning for Multi-Channel Wireless Network Monitoring With Channel Switching Costs
We consider the problem of optimally assigning $p$ sniffers to $K$ channels to monitor the transmission activities in a multichannel wireless network with switching costs. The activity of users is initially unknown to the sniffers and is to be learned along with channel assignment decisions to maximize the benefits of this assignment, resulting in the fundamental tradeoff between exploration and exploitation. Switching costs are incurred when sniffers change their channel assignments. As a result, frequent changes are undesirable. We formulate the sniffer-channel assignment with switching costs as a linear partial monitori...
Source: IEEE Transactions on Signal Processing - October 28, 2014 Category: Biomedical Engineering Source Type: research

Two Target Detection Algorithms for Passive Multistatic Radar
This paper considers the problem of passive detection with a multistatic radar system involving a noncooperative illuminator of opportunity (IO) and multiple receive platforms. An unknown source signal is transmitted by the IO, which illuminates a target of interest. These receive platforms are geographically dispersed, and collect independent target echoes due to the illumination by the same IO. We consider a generalized canonical correlation (GCC) detector for passive detection which requires the knowledge of the noise power. We derive closed-form expressions for the probabilities of false alarm and detection of this det...
Source: IEEE Transactions on Signal Processing - October 28, 2014 Category: Biomedical Engineering Source Type: research

Learning Topology and Dynamics of Large Recurrent Neural Networks
Large-scale recurrent networks have drawn increasing attention recently because of their capabilities in modeling a large variety of real-world phenomena and physical mechanisms. This paper studies how to identify all authentic connections and estimate system parameters of a recurrent network, given a sequence of node observations. This task becomes extremely challenging in modern network applications, because the available observations are usually very noisy and limited, and the associated dynamical system is strongly nonlinear. By formulating the problem as multivariate sparse sigmoidal regression, we develop simple-to-i...
Source: IEEE Transactions on Signal Processing - October 28, 2014 Category: Biomedical Engineering Source Type: research

Table of Contents
(Source: IEEE Transactions on Signal Processing)
Source: IEEE Transactions on Signal Processing - October 28, 2014 Category: Biomedical Engineering Source Type: research

IEEE Transactions on Medicine and Biology Engineering
Provides a listing of current committee members and society officers. (Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - October 28, 2014 Category: Biomedical Engineering Source Type: research

Effects of loading rate and aeration on nitrogen removal and N2O emissions in intermittently aerated sequencing batch reactors treating slaughterhouse wastewater at 11 °C.
This study aimed to find optimal operation conditions for nitrogen removal from high strength slaughterhouse wastewater at 11 °C using the intermittently aerated sequencing batch reactors (IASBRs) so as to provide an engineering control strategy for the IASBR technology. Two operational parameters were examined: (1) loading rates and (2) aeration rates. Both the two parameters affected variation of DO concentrations in the IASBR operation cycles. It was found that to achieve efficient nitrogen removal via partial nitrification-denitrification (PND), "DO elbow" point must appear at the end of the last aeration period. The...
Source: Bioprocess and Biosystems Engineering - October 28, 2014 Category: Biomedical Engineering Authors: Pan M, Hu Z, Liu R, Zhan X Tags: Bioprocess Biosyst Eng Source Type: research

Assessment of type II diabetes mellitus using irregularly sampled measurements with missing data.
Abstract Diabetes mellitus is one of the leading diseases in the developed world. In order to better regulate blood glucose in a diabetic patient, improved modelling of insulin-glucose dynamics is a key factor in the treatment of diabetes mellitus. In the current work, the insulin-glucose dynamics in type II diabetes mellitus can be modelled by using a stochastic nonlinear state-space model. Estimating the parameters of such a model is difficult as only a few blood glucose and insulin measurements per day are available in a non-clinical setting. Therefore, developing a predictive model of the blood glucose of a per...
Source: Bioprocess and Biosystems Engineering - October 28, 2014 Category: Biomedical Engineering Authors: Barazandegan M, Ekram F, Kwok E, Gopaluni B, Tulsyan A Tags: Bioprocess Biosyst Eng Source Type: research

Modeling and parameters identification of 2-keto-L-gulonic acid fed-batch fermentation.
This article presents a modeling approach for industrial 2-keto-L-gulonic acid (2-KGA) fed-batch fermentation by the mixed culture of Ketogulonicigenium vulgare (K. vulgare) and Bacillus megaterium (B. megaterium). A macrokinetic model of K. vulgare is constructed based on the simplified metabolic pathways. The reaction rates obtained from the macrokinetic model are then coupled into a bioreactor model such that the relationship between substrate feeding rates and the main state variables, e.g., the concentrations of the biomass, substrate and product, is constructed. A differential evolution algorithm using the Lozi map a...
Source: Bioprocess and Biosystems Engineering - October 28, 2014 Category: Biomedical Engineering Authors: Wang T, Sun J, Yuan J Tags: Bioprocess Biosyst Eng Source Type: research

Computational Modeling of Flow-Altering Surgeries in Basilar Aneurysms.
In this study, image-based computational fluid dynamics (CFD) models were used to simulate the flow in four basilar artery aneurysms in order to evaluate postoperative hemodynamics that would result from flow-altering interventions. Patient-specific geometries were constructed using MR angiography and velocimetry data. CFD simulations carried out for the preoperative flow conditions were compared to in vivo phase-contrast MRI measurements (4D Flow MRI) acquired prior to the interventions. The models were then modified according to the procedures considered for each patient. Numerical simulations of the flow and virtual con...
Source: Annals of Biomedical Engineering - October 28, 2014 Category: Biomedical Engineering Authors: Rayz VL, Abla A, Boussel L, Leach JR, Acevedo-Bolton G, Saloner D, Lawton MT Tags: Ann Biomed Eng Source Type: research

Direct Writing of Polymeric Coatings on Magnesium Alloy for Tracheal Stent Applications.
Abstract This paper investigates the direct-write inkjet method for depositing multi-layer coatings of biodegradable polymers on magnesium alloy surface. Immersion studies were conducted on Poly(lactic-co-glycolic) acid (PLGA), polycaprolactone (PCL), and poly-ester urethane urea (PEUU) coatings to determine the corrosion behavior of different samples based on their varying degradation properties. Using the inductively coupled plasma spectroscopy, a reduction in magnesium ion concentration was observed from the polymer-coated samples indicative of the lower corrosion rates as compared to the uncoated Mg substrate. ...
Source: Annals of Biomedical Engineering - October 28, 2014 Category: Biomedical Engineering Authors: Perkins J, Xu Z, Smith C, Roy A, Kumta PN, Waterman J, Conklin D, Desai S Tags: Ann Biomed Eng Source Type: research