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Biomedical Engineering

This page shows you the most recent publications within this specialty of the MedWorm directory. This is page number 20.

Adaptive Quantification and Longitudinal Analysis of Pulmonary Emphysema With a Hidden Markov Measure Field Model
The extent of pulmonary emphysema is commonly estimated from CT scans by computing the proportional area of voxels below a predefined attenuation threshold. However, the reliability of this approach is limited by several factors that affect the CT intensity distributions in the lung. This work presents a novel method for emphysema quantification, based on parametric modeling of intensity distributions and a hidden Markov measure field model to segment emphysematous regions. The framework adapts to the characteristics of an image to ensure a robust quantification of emphysema under varying CT imaging protocols, and differen...
Source: IEE Transactions on Medical Imaging - July 1, 2014 Category: Biomedical Engineering Source Type: research

Application of Tolerance Limits to the Characterization of Image Registration Performance
Deformable image registration is used increasingly in image-guided interventions and other applications. However, validation and characterization of registration performance remain areas that require further study. We propose an analysis methodology for deriving tolerance limits on the initial conditions for deformable registration that reliably lead to a successful registration. This approach results in a concise summary of the probability of registration failure, while accounting for the variability in the test data. The (β, γ) tolerance limit can be interpreted as a value of the input parameter that leads ...
Source: IEE Transactions on Medical Imaging - July 1, 2014 Category: Biomedical Engineering Source Type: research

A Unified Graphical Models Framework for Automated Mitosis Detection in Human Embryos
Time lapse microscopy has emerged as an important modality for studying human embryo development, as mitosis events can provide insight into embryo health and fate. Mitosis detection can happen through tracking of embryonic cells (tracking based), or from low level image features and classifiers (tracking free). Tracking based approaches are challenged by high dimensional search space, weak features, outliers, missing data, multiple deformable targets, and weak motion model. Tracking free approaches are data driven and complement tracking based approaches. We pose mitosis detection as augmented simultaneous segmentation an...
Source: IEE Transactions on Medical Imaging - July 1, 2014 Category: Biomedical Engineering Source Type: research

ML-Reconstruction for TOF-PET With Simultaneous Estimation of the Attenuation Factors
In positron emission tomography (PET), attenuation correction is typically done based on information obtained from transmission tomography. Recent studies show that time-of-flight (TOF) PET emission data allow joint estimation of activity and attenuation images. Mathematical analysis revealed that the joint estimation problem is determined up to a scale factor. In this work, we propose a maximum likelihood reconstruction algorithm that jointly estimates the activity image together with the sinogram of the attenuation factors. The algorithm is evaluated with 2-D and 3-D simulations as well as clinical TOF-PET measurements o...
Source: IEE Transactions on Medical Imaging - July 1, 2014 Category: Biomedical Engineering Source Type: research

HEp-2 Cell Classification Using Shape Index Histograms With Donut-Shaped Spatial Pooling
We present a new method for automatic classification of indirect immunoflourescence images of HEp-2 cells into different staining pattern classes. Our method is based on a new texture measure called shape index histograms that captures second-order image structure at multiple scales. Moreover, we introduce a spatial decomposition scheme which is radially symmetric and suitable for cell images. The spatial decomposition is performed using donut-shaped pooling regions of varying sizes when gathering histogram contributions. We evaluate our method using both the ICIP 2013 and the ICPR 2012 competition datasets. Our results sh...
Source: IEE Transactions on Medical Imaging - July 1, 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 - July 1, 2014 Category: Biomedical Engineering Source Type: research

Biokinetic evaluation of fatty acids degradation in microbial fuel cell type bioreactors.
Abstract Biodegradations of Na-lactate and Na-acetate were evaluated in microbial fuel cell (MFC) type bioreactors. Increase in lactate concentration from 1,000 to 5,000 mg L(-1) enhanced the biodegradation rate from 4.6 to 23.9 mg L(-1) h(-1). Sequential batch operation of MFC enhanced the lactate biodegradation rate. With acetate, neither increase in concentration nor sequential operation had a marked effect. Maximum power and current densities in MFCs operated batch-wise with lactate and acetate were 3.30 and 2.28 mW m(-2), and 48.2 and 40.2 mA m(-2), respectively. In the MFC operated continuously, incr...
Source: Bioprocess and Biosystems Engineering - July 1, 2014 Category: Biomedical Engineering Authors: Moreno L, Nemati M, Predicala B Tags: Bioprocess Biosyst Eng Source Type: research

Rapid assessment of oxygen transfer impact for Corynebacterium glutamicum.
Abstract Oxygen supply is crucial in industrial application of microbial systems, such as Corynebacterium glutamicum, but oxygen transfer is often neglected in early strain characterizations, typically done under aerobic conditions. In this work, a new procedure for oxygen transfer screening is presented, assessing the impact of maximum oxygen transfer conditions (OTRmax) within microtiter plate-based cultivation for enhanced throughput. Oxygen-dependent growth and productivity were characterized for C. glutamicum ATCC13032 and C. glutamicum DM1933 (lysine producer). Biomass and lysine product yield are affected at...
Source: Bioprocess and Biosystems Engineering - July 1, 2014 Category: Biomedical Engineering Authors: Käß F, Prasad A, Tillack J, Moch M, Giese H, Büchs J, Wiechert W, Oldiges M Tags: Bioprocess Biosyst Eng Source Type: research

Finite element analysis of Stryker Xia pedicle screw in artificial bone samples with and without supplemental cement augmentation.
Abstract A validated, using in vitro biomechanical testing, finite element model was used to evaluate the affects of (1) cement augmentation and (2) an intact posterior cortex in osteoporotic bone. The presence of augmentation and/or a posterior cortical cortex increased the stabilization of the pedicle screw 2-5 fold. Placement of cement influenced failure load and toggle; with distal placement having the largest increase in failure load and decrease in cephalad-caudad toggle. The presence of posterior cortex caused a decrease in the amount of toggle, a proximal shift of the center of rotation and an increase in t...
Source: Computer Methods in Biomechanics and Biomedical Engineering - July 1, 2014 Category: Biomedical Engineering Authors: Pfeiffer FM, Choma TJ, Kueny R Tags: Comput Methods Biomech Biomed Engin Source Type: research

Explicit finite element modelling of heel pad mechanics in running: inclusion of body dynamics and application of physiological impact loads.
This study explored a dynamics modelling approach to the heel pad subjected to realistic impact loads during running. In this model, the inertial property and action of the body are described by a lumped parameter model, while the heel/shoe interactions are modelled using a viscoelastic heel pad model with contact properties. The impact force pattern, dynamic heel pad deformation and stress states predicted by the model were compared with published experimental data. Further parametrical studies revealed the model responses, in terms of internal stresses in the skin and fatty tissue, change nonlinearly when body dynamics c...
Source: Computer Methods in Biomechanics and Biomedical Engineering - July 1, 2014 Category: Biomedical Engineering Authors: Chen WM, Lee PV Tags: Comput Methods Biomech Biomed Engin Source Type: research

Designing a Wearable Navigation System for Image-Guided Cancer Resection Surgery.
Abstract A wearable surgical navigation system is developed for intraoperative imaging of surgical margin in cancer resection surgery. The system consists of an excitation light source, a monochromatic CCD camera, a host computer, and a wearable headset unit in either of the following two modes: head-mounted display (HMD) and Google glass. In the HMD mode, a CMOS camera is installed on a personal cinema system to capture the surgical scene in real-time and transmit the image to the host computer through a USB port. In the Google glass mode, a wireless connection is established between the glass and the host compute...
Source: Annals of Biomedical Engineering - July 1, 2014 Category: Biomedical Engineering Authors: Shao P, Ding H, Wang J, Liu P, Ling Q, Chen J, Xu J, Zhang S, Xu R Tags: Ann Biomed Eng Source Type: research

Conference Abstracts: CMR2013
CONCLUSIONSWe describe a simple preparation of peptide‐decorated microbubbles, contrast agents for ultrasound imaging, and their successful targeting in vitro (adhesion to receptor‐coated surfaces) and in vivo, in a subcutaneous murine tumor model.FINANCIAL INTEREST STATEMENTThe authors do have a direct or indirect financial interest in the products under investigation or subject matter discussed in the manuscript: A. Klibanov is a co‐founder and minority shareholder of Targeson Inc., a startup developing targeted ultrasound contrast for preclinical use (Targeson is not involved in this study in any way and unaware o...
Source: Contrast Media and Molecular Imaging - July 1, 2014 Category: Radiology Tags: Abstracts Source Type: research

A new hierarchical method for inter-patient heartbeat classification using random projections and RR intervals
Conclusions: A hierarchical heartbeat classification system was proposed based on the inter-patient data division to detect VEB and SVEB. It demonstrated better classification performance than existing methods. It can be regarded as a promising system for detecting VEB and SVEB of unknown patients in clinical practice. (Source: BioMedical Engineering OnLine)
Source: BioMedical Engineering OnLine - June 30, 2014 Category: Biomedical Engineering Authors: Huifang HuangJie LiuQiang ZhuRuiping WangGuangshu Hu Source Type: research

Clinical implication of interface pressure for a new prosthetic suspension system
Conclusions: The intention of this study was to deepen understanding on the effect of suspension system on the load distribution over the residual limb. The new coupling system was proved compatible with the pin/lock system in terms of suspending the leg and amputee's satisfaction. On the other hand, the HOLO system could distribute the pressure more uniformly over the residual limb. (Source: BioMedical Engineering OnLine)
Source: BioMedical Engineering OnLine - June 30, 2014 Category: Biomedical Engineering Authors: Hossein GholizadehNoor OsmanArezoo EshraghiNasrul Abd Razak Source Type: research

Power densities and microbial communities of brewery wastewater-fed microbial fuel cells according to the initial substrates.
Abstract Single-chamber microbial fuel cells (MFCs) acclimated with glucose, butyrate, propionate, acetate, and a mixture of the four were operated with brewery wastewater (BWW) under a fed-batch mode. Glucose-fed MFC (GW-MFC) showed the highest maximum power density (PDmax) of 1,519 mW/m(2), followed in order by acetate-fed MFC (AW-MFC), mixed substrates-fed MFC (MW-MFC), butyrate-fed MFC (BW-MFC), and propionate-fed MFC (PW-MFC). After changing to BWW, power production was decreased for all MFCs. MFC acclimated with glucose showed the highest PDmax of 890 ± 12 mW/m(2), followed in order by MW-MFC, AW-MFC, BW-...
Source: Bioprocess and Biosystems Engineering - June 29, 2014 Category: Biomedical Engineering Authors: Yu J, Park Y, Kim B, Lee T Tags: Bioprocess Biosyst Eng Source Type: research

Bicomponent electrospinning to fabricate three-dimensional hydrogel-hybrid nanofibrous scaffolds with spatial fiber tortuosity.
Abstract Electrospun fibrous mats have emerged as powerful tissue engineering scaffolds capable of providing highly effective and versatile physical guidance, mimicking the extracellular environment. However, electrospinning typically produces a sheet-like structure, which is a major limitation associated with current electrospinning technologies. To address this challenge, highly porous, volumetric hydrogel-hybrid fibrous scaffolds were fabricated by one Taylor cone-based side-by-side dual electrospinning of poly (ε-caprolactone) (PCL) and poly (vinyl pyrrolidone) (PVP), which possess distinct properties (i.e., h...
Source: Biomedical Microdevices - June 28, 2014 Category: Biomedical Engineering Authors: Jin G, Lee S, Kim SH, Kim M, Jang JH Tags: Biomed Microdevices Source Type: research

Growth and biochemical composition of filamentous microalgae Tribonema sp. as potential biofuel feedstock.
Abstract Filamentous oleaginous microalgae Tribonema minus have advantages in relatively easy harvesting and grazers resistance in mass cultivation due to its filaments in previous study. To evaluate whether the genus Tribonema is a valuable candidate for use in biofuel production, the morphology, growth, biochemical composition and fatty acid profile of six filamentous microalgae strains Tribonema sp. were investigated. All the strains are unbranched filament in single row of elongated cylinder, attaining 0.5-3 mm in length. The growth rates of tested strains were 0.35-0.42 g L(-1) d(-1). Generally, for all st...
Source: Bioprocess and Biosystems Engineering - June 28, 2014 Category: Biomedical Engineering Authors: Wang H, Ji B, Wang J, Guo F, Zhou W, Gao L, Liu TZ Tags: Bioprocess Biosyst Eng Source Type: research

Joint Source-Channel Vector Quantization for Compressed Sensing
We study joint source-channel coding (JSCC) of compressed sensing (CS) measurements using vector quantizer (VQ). We develop a framework for realizing optimum JSCC schemes that enable encoding and transmitting CS measurements of a sparse source over discrete memoryless channels, and decoding the sparse source signal. For this purpose, the optimal design of encoder-decoder pair of a VQ is considered, where the optimality is addressed by minimizing end-to-end mean square error (MSE). We derive a theoretical lower bound on the MSE performance and propose a practical encoder-decoder design through an iterative algorithm. The re...
Source: IEEE Transactions on Signal Processing - June 27, 2014 Category: Biomedical Engineering Source Type: research

Fractional Sampling Theorem for $alpha$-Bandlimited Random Signals and Its Relation to the von Neumann Ergodic Theorem
We present an interpolation formula to estimate a random signal from a temporal random series, based on the fractional sampling theorem for $alpha$ -bandlimited random signals. Furthermore, by establishing the relationship between the sampling theorem and the von Neumann ergodic theorem, the estimation of the power spectral density of a random signal from one sample signal becomes a suitable approach. Thus, the validity of the sampling theorem for random signals is closely linked to an ergodic hypothesis in the mean sense. (Source: IEEE Transactions on Signal Processing)
Source: IEEE Transactions on Signal Processing - June 27, 2014 Category: Biomedical Engineering Source Type: research

Comments on “Distributed MMSE Relay Strategies for Wireless Sensor Networks”
This comment indicates that there is a typo in equation (62) of [1]. (Source: IEEE Transactions on Signal Processing)
Source: IEEE Transactions on Signal Processing - June 27, 2014 Category: Biomedical Engineering Source Type: research

Enhancing the Efficiency of Constrained Dual-Hop Variable-Gain AF Relaying Under Nakagami- $m$ Fading
This paper studies power allocation for performance constrained dual-hop variable-gain amplify-and-forward (AF) relay networks in Nakagami-$m$ fading. In this context, the performance constraint is formulated as a constraint on the end-to-end signal-to-noise-ratio (SNR) and the overall power consumed is minimized while maintaining this constraint. This problem is considered under two different assumptions of the available channel state information (CSI) at the relays, namely full CSI at the relays and partial CSI at the relays. In addition to the power minimization problem, we also consider the end-to-end SNR maximization ...
Source: IEEE Transactions on Signal Processing - June 27, 2014 Category: Biomedical Engineering Source Type: research

Efficient Least Absolute Deviation Adaptive Wavelet Filter Bank
We present an adaptive wavelet filter bank with fixed number of vanishing moments, plus additional local adaptation. Proposed adaptation method is conducted at each sample according to the least absolute deviation (LAD) criterion. Fixed vanishing moments provide for polynomial annihilation. Adaptation is aimed to achieve maximum sparseness for a wider class of signals, such as sine waves. LAD criterion results in more accurate adaptation on sudden changes of signal statistics. In this paper, an efficient LAD realization is proposed, in spite of nonexistence of the closed form solution. Combining least squares and LAD crite...
Source: IEEE Transactions on Signal Processing - June 27, 2014 Category: Biomedical Engineering Source Type: research

A Class of Fast Exact Bayesian Filters in Dynamical Models With Jumps
We address the statistical filtering problem in dynamical models with jumps. When a particular application is adequately modeled by linear and Gaussian probability density functions with jumps, a usual method consists in approximating the optimal Bayesian estimate [in the sense of the minimum mean square error (MMSE)] in a linear and Gaussian jump Markov state space system (JMSS). Practical solutions include algorithms based on numerical approximations or on sequential Monte Carlo (SMC) methods. In this paper, we propose a class of alternative methods which consists in building statistical models which, locally, similarly ...
Source: IEEE Transactions on Signal Processing - June 27, 2014 Category: Biomedical Engineering Source Type: research

Jump-Sparse and Sparse Recovery Using Potts Functionals
We recover jump-sparse and sparse signals from blurred incomplete data corrupted by (possibly non-Gaussian) noise using inverse Potts energy functionals. We obtain analytical results (existence of minimizers, complexity) on inverse Potts functionals and provide relations to sparsity problems. We then propose a new optimization method for these functionals which is based on dynamic programming and the alternating direction method of multipliers (ADMM). A series of experiments shows that the proposed method yields very satisfactory jump-sparse and sparse reconstructions, respectively. We highlight the capability of the metho...
Source: IEEE Transactions on Signal Processing - June 27, 2014 Category: Biomedical Engineering Source Type: research

On Linear Precoding Strategies for Secrecy Rate Maximization in Multiuser Multiantenna Wireless Networks
Revived interest in physical layer security has led to a cascade of information theoretic results for various system topologies under different constraints. In the present paper, we provide practically oriented solutions to the problem of maximizing achievable secrecy rates in an environment consisting of multiple legitimate and eavesdropping radio nodes. By assuming “genie” aided perfect channel state information (CSI) feedback for both types of nodes, we first study two scenarios of interest. When independent messages are intended for all legitimate users (called “broadcast” mode), provably co...
Source: IEEE Transactions on Signal Processing - June 27, 2014 Category: Biomedical Engineering Source Type: research

Asymptotically Optimal Linear Shrinkage of Sample LMMSE and MVDR Filters
Conventional implementations of the linear minimum mean-square (LMMSE) and minimum variance distortionless response (MVDR) estimators rely on the sample matrix inversion (SMI) technique, i.e., on the sample covariance matrix (SCM). This approach is optimal in the large sample size regime. Nonetheless, in small sample size situations, those sample estimators suffer a large performance degradation. Thus, the aim of this paper is to propose corrections of these sample methods that counteract their performance degradation in the small sample size regime and keep their optimality in large sample size situations. To this aim, a ...
Source: IEEE Transactions on Signal Processing - June 27, 2014 Category: Biomedical Engineering Source Type: research

Dynamic Resource Allocation for Multiple-Antenna Wireless Power Transfer
We consider a point-to-point multiple-input-single-output (MISO) system where a receiver harvests energy from a transmitter. To achieve high-efficiency wireless power transfer (WPT), the transmitter performs energy beamforming by using an instantaneous channel state information (CSI). The CSI is estimated at the receiver by training via a preamble and fed back to the transmitter. In this paper, we address the key challenge of balancing the time resource used for channel estimation and WPT to maximize the harvested energy and also investigate the allocation of energy resource used for WPT. First, we consider the general sce...
Source: IEEE Transactions on Signal Processing - June 27, 2014 Category: Biomedical Engineering Source Type: research

$M$ -Channel Oversampled Graph Filter Banks
This paper proposes $M$ -channel oversampled filter banks for graph signals. The filter set satisfies the perfect reconstruction condition. A method of designing oversampled graph filter banks is presented that allows us to design filters with arbitrary parameters, unlike the conventional critically sampled graph filter banks. The oversampled graph Laplacian matrix is also introduced with a discussion of the entire redundancy of the oversampled graph signal processing system. The practical performance of the proposed filter banks is validated through graph signal denoising experiments. (Source: IEEE Transactions on Signal Processing)
Source: IEEE Transactions on Signal Processing - June 27, 2014 Category: Biomedical Engineering Source Type: research

Joint Approximately Sparse Channel Estimation and Data Detection in OFDM Systems Using Sparse Bayesian Learning
It is well known that the impulse response of a wideband wireless channel is approximately sparse, in the sense that it has a small number of significant components relative to the channel delay spread. In this paper, we consider the estimation of the unknown channel coefficients and its support in OFDM systems using a sparse Bayesian learning (SBL) framework for exact inference. In a quasi-static, block-fading scenario, we employ the SBL algorithm for channel estimation and propose a joint SBL (J-SBL) and a low-complexity recursive J-SBL algorithm for joint channel estimation and data detection. In a time-varying scenario...
Source: IEEE Transactions on Signal Processing - June 27, 2014 Category: Biomedical Engineering Source Type: research

PARAFAC-PARATUCK Semi-Blind Receivers for Two-Hop Cooperative MIMO Relay Systems
In two-hop amplify-and-forward (AF) relay systems, a source node sends information to one or several relay nodes that amplify and retransmit the received signals to a destination node, without decoding. Such AF relaying-based cooperative communications allow to improve communication reliability due to increased channel gains and space diversity at the destination node. In this paper, we consider a two-hop AF cooperative scheme, with a simplified Khatri-Rao space-time (KRST) coding at transmission (source). We show that the third-order tensor of signals received by the destination node satisfies a PARAFAC decomposition for ...
Source: IEEE Transactions on Signal Processing - June 27, 2014 Category: Biomedical Engineering Source Type: research

Table of Contents
(Source: IEEE Transactions on Signal Processing)
Source: IEEE Transactions on Signal Processing - June 27, 2014 Category: Biomedical Engineering Source Type: research

Collaborative Kalman Filtering for Dynamic Matrix Factorization
We propose a new algorithm for estimation, prediction, and recommendation named the collaborative Kalman filter. Suited for use in collaborative filtering settings encountered in recommendation systems with significant temporal dynamics in user preferences, the approach extends probabilistic matrix factorization in time through a state-space model. This leads to an estimation procedure with parallel Kalman filters and smoothers coupled through item factors. Learning of global parameters uses the expectation-maximization algorithm. The method is compared to existing techniques and performs favorably on both generated data a...
Source: IEEE Transactions on Signal Processing - June 27, 2014 Category: Biomedical Engineering Source Type: research

Adaptive Distributed Estimation Based on Recursive Least-Squares and Partial Diffusion
Using the diffusion strategies, an unknown parameter vector can be estimated over an adaptive network by combining the intermediate estimates of neighboring nodes at each node. We propose an extension to the diffusion recursive least-squares algorithm by allowing partial sharing of the entries of the intermediate estimate vectors among the neighbors. Accordingly, the proposed algorithm, termed partial-diffusion recursive least-squares (PDRLS), enables a trade-off between estimation performance and communication cost. We analyze the performance of the PDRLS algorithm and prove its convergence in both mean and mean-square se...
Source: IEEE Transactions on Signal Processing - June 27, 2014 Category: Biomedical Engineering Source Type: research

Invariance and Optimality of CFAR Detectors in Binary Composite Hypothesis Tests
We investigate the relationship between constant false alarm rate (CFAR) and invariant tests. We introduce the minimal invariant group (MIG). We show that for a family of distributions, the unknown parameters are eliminated from the distribution of the maximal invariant statistic under the MIG while the maximum information of the observed signal is preserved. We prove that any invariant test with respect to MIG is CFAR and conversely, for any CFAR test an invariant statistic exists with respect to an MIG under some mild conditions. Moreover for a given CFAR test, we propose a systematic method for deriving an enhanced test...
Source: IEEE Transactions on Signal Processing - June 27, 2014 Category: Biomedical Engineering Source Type: research

IEEE Transactions on Industrial Electronics publication information
(Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - June 27, 2014 Category: Biomedical Engineering Source Type: research

Arm movement speed assessment via a Kinect camera: A preliminary study in healthy subjects
Conclusions: This is the first step toward laying the foundation for future studies that investigate abnormality inarm movement via use of a Kinect camera. (Source: BioMedical Engineering OnLine)
Source: BioMedical Engineering OnLine - June 27, 2014 Category: Biomedical Engineering Authors: Mohamed ElgendiFlavien PiconNadia Magnenat-ThalmannDerek Abbott Source Type: research

Arm movement speed assessment via a Kinect camera: A preliminary study in healthy subjects
Conclusions: This is the first step toward laying the foundation for future studies that investigate abnormality in arm movement via use of a Kinect camera. (Source: BioMedical Engineering OnLine)
Source: BioMedical Engineering OnLine - June 27, 2014 Category: Biomedical Engineering Authors: Mohamed ElgendiFlavien PiconNadia Magnenat-ThalmannDerek Abbott Source Type: research

Effect of pulsatile swirling flow on stenosed arterial blood flow
In this study, the effects of pulsatile swirling inlet flows with various swirling intensities on the flow field in a stenosis model are experimentally investigated using a particle image velocimetry velocity field measurement technique. A pulsatile pump provides cyclic pulsating inlet flow and spiral inserts with two different helical pitches (10D and 10/3D) induce swirling flow in the stenosed channel. (Source: Medical Engineering and Physics)
Source: Medical Engineering and Physics - June 27, 2014 Category: Biomedical Engineering Authors: Hojin Ha, Sang Joon Lee Source Type: research

Comparative study of corneal tangent elastic modulus measurement using corneal indentation device
The aim of this study is to examine the corneal tangent modulus measurement repeatability and performance of the corneal indentation device (CID). Twenty enucleated porcine eyes were measured and the eyes were pressurized using saline solution-filled manometer to 15 and 30mmHg. Corneal tangent moduli measured using the CID were compared with those measured using high precision universal testing machine (UTM). The within-subject standard deviation (Sw), repeatability (2.77×Sw), coefficient of variation (CV) (Sw/overall mean), and intraclass correlation coefficient (ICC) were determined. (Source: Medical Engineering and Physics)
Source: Medical Engineering and Physics - June 27, 2014 Category: Biomedical Engineering Authors: Match W.L. Ko, Leo K.K. Leung, David C.C. Lam Source Type: research

Conductivity image enhancement in MREIT using adaptively weighted spatial averaging filter
Conclusion: We developed the fast and simple method to enhance the conductivity image quality by adaptivelyadjusting the weights and window size of the spatial averaging filter using MR magnitude images.Since the new method is implemented as a postprocessing step, we suggest adopting it without orwith other preprocessing methods for application studies where conductivity contrast is of primaryconcern. (Source: BioMedical Engineering OnLine)
Source: BioMedical Engineering OnLine - June 26, 2014 Category: Biomedical Engineering Authors: Tong In OhHyung Joong KimWoo Chul JeongHun WiOh In KwonEung Je Woo Source Type: research