Biomechanics of Bone / Bone Biomechanics
Mohammad Nikkhoo; Ali Tahassori; Mohammad Haghpanahi
Volume 8, Issue 3 , September 2014, , Pages 203-212
Abstract
To develop the advanced technologies in medical device industry, design and manufacturing of cervical cage was performed in Iran for the first time. This research-based industrial project should be accomplished based on precise biomechanical studies and mechanical tests. Hence, this study presents the ...
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To develop the advanced technologies in medical device industry, design and manufacturing of cervical cage was performed in Iran for the first time. This research-based industrial project should be accomplished based on precise biomechanical studies and mechanical tests. Hence, this study presents the optimization and biomechanical functional investigations of the first Iranian cervical cage (Manufactured by Attila Ortopaed Co.). For this purpose the intact cervical spine (C2-C7) was developed and was validated with in-vitro experiments. Three inputs (i.e. geometrical parameters of the cage) and two outputs (i.e. deformation of the teeth in static and dynamic tests) parameters were selected for optimization procedure. Furthermore, the surgery in C5-C6 level was simulated by implanting the cervical cage. Finally, the biomechanical responses were investigated. The result confirmed that the biomechanical response of cervical cage is within the standard range and can be used well in clinics for surgical procedures.
Biomedical Signal Processing / Medical Signal Processing / Biosignal Processing
Sara Mohammadi; Ghasem Azemi
Volume 9, Issue 3 , December 2015, , Pages 215-227
Abstract
One of the most important newborn EEG abnormalities is the synchrony between different channels which, according to the clinical studies, can lead to neurological and neurodevelopmental outcomes in adulthood. This paper introduces a new method for automated detection of phase synchrony in multivariate ...
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One of the most important newborn EEG abnormalities is the synchrony between different channels which, according to the clinical studies, can lead to neurological and neurodevelopmental outcomes in adulthood. This paper introduces a new method for automated detection of phase synchrony in multivariate signals with applications to newborn EEG signals. In this method, first the instantaneous phase of each channel of the signal is estimated using Hilbert transform. In the case of EEG signals, due to their multicomponent nature, single-band signalsof the signal are needed to be extracted using a bank of band-pass filters. The synchronization between different channels of the signal is then quantitatively measured using a criterion based on the mutual information between instantaneous phases of theextracted single-band signals. The proposed method in this paper is then used to analyze, from synchronization point of view, multichannel EEG signals acquired from 5 newborns which include seizure-nonseizure periods and burst-suppression (B-S) patterns.Reciever operating curves (ROCs) are used to illustrate the performance of the method. The performance of the proposed method is also compared with that of the existing one based on the cointegration concept. Experimental results prove that the proposed method outperforms the existing one in measuring the generalized phase synchrony in multichannel newborn EEG signals. Also, results of analyzing seizure and nonseizure segments show that for all segmants there is a phase synchronization among EEG channels which is due to the connections between brain hemispheres in both cases. The results also show that seizure periods are more synchronous than nonseizure periods. The phase synchrony assessment of B-S patterns indicates that burst patterns are more synchronous than suppression patterns and there is a phase synchrony in both cases.
Biomechanics of Bone / Bone Biomechanics
Hoda Salemi; Ali Asghar Behnamghader; Mohammad Reza Baghaban Eslaminejad; Mohammad Ataei
Volume 6, Issue 4 , June 2012, , Pages 249-255
Abstract
Collagen and Hydroxyapatite (HA) nanoparticles are significant constituent of the natural bone. In this study, the effect of collagen on the morphological and phase characteristics of calcium phosphate nanoparticles was investigated. The synthesis reaction was initiated by mixing H3PO4 as phosphorous ...
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Collagen and Hydroxyapatite (HA) nanoparticles are significant constituent of the natural bone. In this study, the effect of collagen on the morphological and phase characteristics of calcium phosphate nanoparticles was investigated. The synthesis reaction was initiated by mixing H3PO4 as phosphorous source and CaCl2 as calcium source in presence of Collagen Type 1. Collagen concentration in suspension and Ca to P ratio was 1% and 1.67 respectively. The morphology and structure of samples (with collagen and without collagen), heat treated at 600 0C were characterized by X-Ray diffraction (XRD), Fourier transformation infrared (FTIR) and Scanning electron microscopy (SEM). More fine and flake-like shape particles were observed in the SEM images of sample synthesized in the presence of collagen compared to the control sample which was constituted of larger granular particles. The XRD results revealed the powders were composed of hydroxyapatite and octacalcium phosphate and the sample synthesized in the presence of collagen was less crystalline. The amide bands of collagen and P-O and OH characteristic peaks were identified in FT-IR spectra.
Majid Ghoshuni; Mohammad Ali Khalilzadeh; Ali Moghimi
Volume 1, Issue 4 , June 2007, , Pages 251-267
Abstract
Episodic memory is the explicit recollection of incidents occurred at a particular time and place in One’s Personal Past. In This Study, Detection of Episodic Memory Activity In Event Related Potentials (ERPs) was done. ERPs were recorded while the subjects made old/new recognition judgments on ...
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Episodic memory is the explicit recollection of incidents occurred at a particular time and place in One’s Personal Past. In This Study, Detection of Episodic Memory Activity In Event Related Potentials (ERPs) was done. ERPs were recorded while the subjects made old/new recognition judgments on the new unstudied meaningless pictures and the old pictures which had been presented at the study phase. In order to extract the features correlated with the episodic memory activity, time and time-frequency features were extracted from ERPs. Wavelet method was implemented for feature extraction in time-frequency. Independent sample test has was for detection of the separable degree the between old/new ERPs. Furthermore, by using stepwise linear discriminate analysis, ERP signals were classified to old and new classes. Ultimately for better classification between old/new ERPs, Multilayer Perceptron was implemented, and for best feature selection, genetic algorithm was used. In the best results, by using time domain features extracted from Pz channel, 100% accuracy in the training and test data was obtained.
Tissue Engineering
Fateme Shamsi; Mohsen Janmaleki; Nasser Fatouraee
Volume 3, Issue 4 , June 2009, , Pages 265-274
Abstract
In this study a mechanism was modeled to control the jet path of nanofibers produced by electrospinning through inducing a magnetic field over the jet path. Firstly, a model was developed for the jet path in which the fibers composed of a series of viscoelastic segments. Considering the mass and momentum ...
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In this study a mechanism was modeled to control the jet path of nanofibers produced by electrospinning through inducing a magnetic field over the jet path. Firstly, a model was developed for the jet path in which the fibers composed of a series of viscoelastic segments. Considering the mass and momentum conservation and maxwellian model of stretching viscoelastic segments using three equations governing the jet dynamics of the jet model in electrospinning, a program was developed in MATLAB with Runge–Kutta method. After ensuring the accuracy of the model, its behavior was evaluated in the presence of a magnetic field. The field induced a uniform force distribution over the jet. As the intensity of the magnetic field increased; the instability and bending radius of the jet reduced. The results of the research showed that utilizing a suitable mechanism for applying magnetic field can provide help in controlling the jet path and alignment of the nanofibers.
Biomedical Image Processing / Medical Image Processing
Sina Shamekhi; Mohammad Hosein Miranbeigi; Ali Gooya
Volume 12, Issue 4 , January 2019, , Pages 265-275
Abstract
Matching of the protein spots in two dimensional gel electrophoresis (2DGE) images is a main process of analyzing these images. Due to the challenges of 2DGE images such as the presence of noise and artifacts, the matching of protein spots is performed under human supervision. This supervision involves ...
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Matching of the protein spots in two dimensional gel electrophoresis (2DGE) images is a main process of analyzing these images. Due to the challenges of 2DGE images such as the presence of noise and artifacts, the matching of protein spots is performed under human supervision. This supervision involves human errors. Therefore, in this work a new automated algorithm has been proposed for spot matching in 2DGE images which is based on a probabilistic model. Due to the complexities of the proposed model, the Variational Bayes has been used to solve the equations of the model. The performance of the proposed algorithm has been evaluated on real and synthetic 2DGE images with some statistical criteria. Protein spots in real image dataset have been matched by the proposed method with angular error of 0.05 and end point error of 1.46 and in synthetic image dataset with angular error of 0.13 and end point error of 0.90. These results reveal higher precision and effectiveness and lower matching error of the proposed method.
Rehabilitation Engineering
Diako Mardanbeigi; Mohammad Reza Mallakzadeh
Volume 4, Issue 4 , June 2010, , Pages 267-278
Abstract
This paper investigates prototyping an online, low-cost, video based and applicable eye tracker, which is called "Dias Eye Tracker". Disabled people can use the proposed system to communicate with computer. What have made the system different from the other low-cost eye trackers, are the accuracy of ...
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This paper investigates prototyping an online, low-cost, video based and applicable eye tracker, which is called "Dias Eye Tracker". Disabled people can use the proposed system to communicate with computer. What have made the system different from the other low-cost eye trackers, are the accuracy of gaze estimation, the different application parts of the software and the lightweight wireless hardware, which can be mounted on the user’s head. This paper introduces the software/hardware and the methods of the system. In addition, two methods of pupil tracking have been compared together, and an uncertainty analysis on the mapping function of the system has been done. The performance of the designed eye tracker has been evaluated by analyzing the answers to the three questionnaires, which were filled by disabled people after performing three specific tasks. The results show that the system performs well for interaction with computer.
Biomedical Image Processing / Medical Image Processing
Dorsa Jafarkhah Seighalani; Mehran Yazdi; Mohammad Faghihi
Volume 14, Issue 4 , February 2021, , Pages 267-276
Abstract
Cancer is one of the most common diseases at the present time. Among different types of this disease, brain cancer has a high fatality rate and accurate and timely diagnosis of it, can have a major impact on the patient’s life. Doctors need MRI and CT scan of brain to diagnose this condition. A ...
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Cancer is one of the most common diseases at the present time. Among different types of this disease, brain cancer has a high fatality rate and accurate and timely diagnosis of it, can have a major impact on the patient’s life. Doctors need MRI and CT scan of brain to diagnose this condition. A precise image processing technique can help the medical specialists and speed up the diagnosis process. Many methods have been proposed to recognize brain tumors in medical images; however their accuracies were not acceptable. In fact, low accuracy is a result of the similarities between brain and tumor tissue. In this paper we propose a tumor recognition method using fusion of MRI and CT Scan images. This method exploits a deep learning based feature extraction algorithm that helps to distinguish tumors from brain tissue. Tumor recognition and accuracy calculation is performed for three common types of brain tumors (glioma, meningioma, and pituitary tumor). Our results show a great improvement of performance in comparison to related works.
Biomedical Signal Processing / Medical Signal Processing / Biosignal Processing
Hamed Danandeh Hesar; Maryam Mohebbi
Volume 11, Issue 4 , February 2018, , Pages 275-289
Abstract
Marginalized particle extended Kalman filter (MP-EKF) takes advantage of both extended Kalman filter and particle filter frameworks to estimate nonlinear ECG dynamic models (EDMs) with reduced number of calculations in comparison to typical particle filters. However, due to existence of Kalman filter ...
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Marginalized particle extended Kalman filter (MP-EKF) takes advantage of both extended Kalman filter and particle filter frameworks to estimate nonlinear ECG dynamic models (EDMs) with reduced number of calculations in comparison to typical particle filters. However, due to existence of Kalman filter framework inside MP-EKF, some limitations are introduced in implementation of MP-EKF especially in embedded systems with finite numerical accuracies. In this paper, for the first time, we propose a square root filtering strategy for MP-EKF which alleviates these restrictions using factorization. Typical or other square-root Kalman filters cannot be employed inside MP-EKF due to presence of minus operations in some equations of MP-EKF. However, our method can be implemented in MP-EKF structure. The proposed method can be used in any EDM previously used by EKF based frameworks in the field of ECG processing.
Nader Nezafati; Fathollah Moztarzadeh; Saeed Hesaraki; Nasim Nosoudi
Volume 2, Issue 4 , June 2008, , Pages 277-283
Abstract
Calcium phosphate cements are among the formable calcium phosphate cements which are widely used for reconstruction of hard tissue injuries. Unfortunately, due to low mechanical strength, the application of such materials is only limited to non-load bearing like skull. We have investigated some mechanical ...
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Calcium phosphate cements are among the formable calcium phosphate cements which are widely used for reconstruction of hard tissue injuries. Unfortunately, due to low mechanical strength, the application of such materials is only limited to non-load bearing like skull. We have investigated some mechanical and characteristics of a calcium phosphate cement which was reinforced with glass fiber. Compressed strength, setting time, phase composition and microstructure of the composite cement were among the cases which were investigated using appropriate techniques. The results indicated that adding only 15 weight percent of glass fiber (with about 100µm diameter) which was prepared using sol-gel method, does not show any meaningful change in the setting time of calcium phosphate cement This period of time was estimated about 20 minutes. Compressed strength of the cements without any fibers was 0.635MPa which was increased by adding fiber to 3.69MPa.The toughness of the cement was changed from 0.098KJ/m2 for cement without any fibers to 0.545KJ/m2 cement containing fibers. The XRD pattern of the composite samples which were maintained in the Ringer's solution showed that the reactant materials of the cement have almost thoroughly converted to hydroxyapatite which in this case does not show much difference with the non-fiber samples. As a whole, it seems that using glass fiber prepared by sol-gel method can considerably increase mechanical strength and toughness of calcium phosphate. This occurs without any effect on the quality of the cement.
Cardiovascular Biomechanics
Mehdi Molaei; Mohammad Saeid Saeidi; Bahar Firoozabadi
Volume 5, Issue 4 , June 2011, , Pages 279-288
Abstract
Study of Physiological Parameters of the Cardiovascular System by One Dimensional and Numerical Simulation. Owning to important role of the cardiovascular system in the human body and increase of cardiovascular diseases from day to day, in this study, we try to simulate a system of arteries by using ...
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Study of Physiological Parameters of the Cardiovascular System by One Dimensional and Numerical Simulation. Owning to important role of the cardiovascular system in the human body and increase of cardiovascular diseases from day to day, in this study, we try to simulate a system of arteries by using one dimensional numerical modeling. For the first time in the one dimensional simulation, we use the finite volume method for discretization of Navier-Stocks equations coupled with the state equation. In order to develop the outflow boundary condition, we use a kind of lumped model called arteriole structure tree. Results of this study are verified by results of other one dimensional modeling such as the characteristic method and are showed that finite volume method is able to demonstrate characteristic of blood flow in arteries. Normal pressure and flow profiles in main systemic arteries are determined, and it is founded that the pressure profile becomes steeper with distance from the heart, which is in agreement with physiological patterns. Furthermore, we can show that when elasticity of arteries is increased in arterioscleroses disease, systolic pressure increases, yet diastolic pressure decreases. Finally, according to available results, it is clear that the finite volume method is useful to simulate numerically and one dimensionally the cardiovascular system.
Human Computer Interaction / HCI
Mohsen Keshtkar; Amin Mahnam; Pegah Poladian
Volume 10, Issue 4 , January 2017, , Pages 279-290
Abstract
Steady State Visual Evoked Potentials (SSVEP) have been widely used in development of Brain Computer Interfaces (BCI). However, it is still a research challenge to have visual stimuli which provide strong SSVEP response while produce little eye fatigue. In this study, rectangular, sinosoidal, sawtooth ...
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Steady State Visual Evoked Potentials (SSVEP) have been widely used in development of Brain Computer Interfaces (BCI). However, it is still a research challenge to have visual stimuli which provide strong SSVEP response while produce little eye fatigue. In this study, rectangular, sinosoidal, sawtooth waveforms applied to a LED were compared with sum of two sinusoidals and a frequency modulated waveform to determine the most appropriate visual stimulus for realization of a BCI system. Moreover, circular, ring and anti-phase two rectangular flickers were generated by Cogent toolbox on a laptop screen and compared. Experiments were performed on 12 participants to determine the SSVEP response and eye fatigue corresponding to each of these visual stimuli. Experiments with the waveforms demonstrate that sum of two sine waves generated significantly lower SSVEP amplitude, but the responses for other four waveforms were not significantly different. On the other hand, the frequency modulated waveform resulted in the least eye fatigue significantly lower from other waveforms. Therefore, considering both criteria, frequency modulated waveform can provide superor performance in a BCI system with an average response of 17.3 pV2 and 1.58 fatigue level in a 1-4 fatigue scale. Experiments with visual stimuli on LCD showed that circular stimuli provided highest and anti-phase rectangular the lowest response. But all of them produced high levels of eye fatigue. Although, Circular stimuli had the highest power (26.7pV2) but due to its related high eye fatigue (3.8) it is not recommended for practical applications. In conclusion it is recommended to use frequency modulated visual stimuli for development of practical BCI systems to satisfy both strong response and low eye fatigue criteria.
Bioelectrics
Elham Dehghanpur Deharab; Peyvand Ghaderyan
Volume 15, Issue 4 , March 2022, , Pages 279-287
Abstract
Parkinson's disease (PD) is one of the most common types of dementia associated with motor impairments and affected performance of motor skills such as writing. Brain imaging techniques are the common methods used to diagnose PD, which are expensive or invasive, and their accuracy depends on the experience ...
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Parkinson's disease (PD) is one of the most common types of dementia associated with motor impairments and affected performance of motor skills such as writing. Brain imaging techniques are the common methods used to diagnose PD, which are expensive or invasive, and their accuracy depends on the experience and the skill of the physician. Therefore, the development of an automated, low cost, and reliable diagnostic system is desirable for researchers. In this study, a handwriting signal including cognitive and motor-perceptual components has been used as a non-invasive, cost effective and reliable characteristic in identifying PD-related cognitive and motor dysfunctions. For this purpose, the matching pursuit algorithm with high time-frequency resolution has been employed to decompose X-Y coordinates. It provides a sparse representation of the handwriting signals and quantifies the basic information about the local changes in the handwriting signals. The proposed method is evaluated on a database with 31 healthy samples and 29 Parkinson's samples using the support vector machine classifier and obtained results yields an average accuracy rate of 90%, sensitivity rate of 91.59% and specificity rate of 90%. Comparing different writing tasks has also demonstrated superior performance of writing an entire sentence for PD detection.
Robotic Surgery / Robot-Assisted Surgery
Marzie Saeidirad; Heidar Ali Talebi; Mohammad Zareinejad; Mohammad Reza Dehghan
Volume 7, Issue 4 , June 2013, , Pages 287-296
Abstract
Computationally fast biomechanical models are required to present the actual behavior of soft tissue in real-time simulation. These models are applied in medical diagnosis, surgical planning and training. One of the challenges in the surgical simulation is soft tissue cutting that requires topology changes ...
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Computationally fast biomechanical models are required to present the actual behavior of soft tissue in real-time simulation. These models are applied in medical diagnosis, surgical planning and training. One of the challenges in the surgical simulation is soft tissue cutting that requires topology changes and elements remeshing in real-time.This paper present a new algorithm for soft tissue cutting using its geometric analysis. This method creates a less number of degrees of freedom and shows a stable simulation that leads in less tissue damage as compared to other methods. According to the simulation results, the proposed algorithm has a relatively high speed. In addition, a mapping method has been proposed that relates physical and visual model and consequently shows a more realistic surgery. In order to achieve a physics based, accurate and reliable force model, Finite Element Method is used. Finally, the proposed algorithm is simulated for three-dimensional soft tissue tumor and evaluated using the SOFA-Framework.
Malihe Sabeti; Reza Boostani; Ehsan Moradi
Volume 13, Issue 4 , December 2019, , Pages 291-301
Abstract
The P300 event-related potentials (ERPs) has implicated in outcome evaluation and reward processing. It is controversial how reward processing affects the neural sources of P300. We try to investigate the effect of feedback on the neural sources of P300 component. Thirty healthy subjects were participated ...
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The P300 event-related potentials (ERPs) has implicated in outcome evaluation and reward processing. It is controversial how reward processing affects the neural sources of P300. We try to investigate the effect of feedback on the neural sources of P300 component. Thirty healthy subjects were participated and their EEG signals were recorded by thirty channels through the start (30 minutes), feedback (60-90 minutes) and last (30 minutes) segments. We analyzed feedback segment where an equal number of audio and visual stimulus were applied to the participants to perform audio and visual recognition tasks. We punished participants for wrong answers where each wrong answer adds four more tests to this segment. The P300 component was extracted from the background EEG at all channels using the conventional time-locked synchronous grand averaging over all time frames and subjects. Next, two well-known source localization algorithms including standardize low resolution electromagnetic tomography (sLORETA) and shrinking sLORETA were applied to the P300 waveforms for estimating the activity of the P300 sources. Our finding show a significant increase in the activation of P300 sources in the feedback-locked compared to the stimulus-locked over right tempo-parieto-occipital areas (secondary association area) in visual recognition task, but difference of P300 sources is not significant in audio recognition task. The discrepancy between the audio and visual task confirms the hypothesis that our participants considered more probability of wrong answers in the audio task, but they respond to visual test with more confidence.
Biomedical Image Processing / Medical Image Processing
Mohamad reza Rezaeian
Volume 16, Issue 4 , March 2023, , Pages 300-310
Abstract
The chemical exchange due to saturation transfer by applying an electromagnetic radio frequency (RF) pulse to a magnetic resonance scanner is called the CEST effect. The CEST effect depends mainly on relaxation times, chemical exchange rate, concentration of the contrast agent and RF pulse properties. ...
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The chemical exchange due to saturation transfer by applying an electromagnetic radio frequency (RF) pulse to a magnetic resonance scanner is called the CEST effect. The CEST effect depends mainly on relaxation times, chemical exchange rate, concentration of the contrast agent and RF pulse properties. Dependence of chemical exchange rate on some clinical indicators such as pH, temperature and glucose consumption, allows diagnosis diseases non-invasively. The chemical exchange rate is determined through presenting new objective function of the CEST effect in the mathematical closed form quantitatively. A new description of the optimal amplitude of the rectangular RF pulse is obtained by applying gradient-based methods on the proposed convex objective function. Chemical exchange rate is proposed at the simple representation form independent to contrast agent by reversing the optimal amplitude description for large shift frequency contrast agents. Evaluation of the objective function and the proposed relations are performed by comparing them with valid methods derived solving Bloch-McConnell equations through parametric and real data. The mean relative square error of the objective function based on the parametric data is 7.25% and for the proposed the optimal amplitude and chemical exchange rate based on the real data are 6.3% and 4.2%, respectively.
Biomedical Signal Processing / Medical Signal Processing / Biosignal Processing
Alireza Mirjalili; Vahid Abootalebi; Mohammad Taghi Sadeghi
Volume 8, Issue 4 , February 2015, , Pages 305-323
Abstract
In recent years, Brain-Computer Interface (BCI) has been noted as a new means of communication between the human brain and his surroundings. In order to set up such a system, the collaboration of several blocks, such as data recording, signal processing and user interface are needed. The signal processing ...
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In recent years, Brain-Computer Interface (BCI) has been noted as a new means of communication between the human brain and his surroundings. In order to set up such a system, the collaboration of several blocks, such as data recording, signal processing and user interface are needed. The signal processing block, includes two units of preprocessing and pattern recognition. Pattern recognition block itself involves two phases: feature extraction and classification. In this paper, the sparse representation based classification (SRC) has been used in the classification block. There are two important issues in using the SRC. These are creating an appropriate dictionary matrix and adopting a proper method for finding the sparse solution for an input data. In this research study, the dictionary matrix is formed by extracting an optimal set of features from the training data. Toward this goal, the common spatial patterns algorithm (CSP) is first used. Sensitivity to noise and the over learning phenomena are the main drawbacks of the CSP algorithm. In order to remove these problems, the regularized common spatial patterns algorithm (RCSP) is employed. In previous studies in within the BCI framework, the standard BP algorithm has been used to find a sparse solution. The main disadvantage of the BP algorithm is that the method is computationally expensive. To overcome this weakness, a recently proposed algorithm namely the SL0 approach is used instead. Our experimental results show that when the number of training samples is limited, the RCSP algorithm outperforms the CSP one. Using the features derived from the RCSP, the average detection rate is in average increased by a factor of 7.53%. Our classification results also show that using the SL0 algorithm, the classification process is highly speeded up as compared to the BP algorithm while an almost equivalent accuracy is achieved.
Spinal Biomechanics
Mohammad Nikkhoo; Sajjad Najafzadeh; Romina Kargar
Volume 9, Issue 4 , February 2015, , Pages 317-326
Abstract
Understanding the mechanism of artificial disc degeneration using animal models is useful to study the regenerative techniques in hope of finding potential therapeutic strategies. For any type of potential therapeutic techniques, first we need to have the degenerated model. Disc degeneration ...
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Understanding the mechanism of artificial disc degeneration using animal models is useful to study the regenerative techniques in hope of finding potential therapeutic strategies. For any type of potential therapeutic techniques, first we need to have the degenerated model. Disc degeneration can be mimicked in animal studies using needle puncture. However, the detailed mechanical response of the artificial degenerated disc using needle puncture under physiological diurnal activities has not been analyzed well.Hence, reverse finite element analyses combined with in-vitro experiments were used in this study to find the mechanical properties of intact (N=8) and injured discs using needle puncture (N=8). Afterward, specimen-specific FE models for 16 discs were simulated during physiological diurnal activity. The results showed that the variation of axial displacement, intradiscal pressure, and total fluid exchangein intact discs were significantly higher than the injured ones after 24h. But the maximum axial stress within disc was significantly higher in injured group. The achieved results are correlated with previous human cadaver data for natural disc degeneration. Therefore, it is concluded that the G-16needle puncture injury is a simple and cost-effective methodology which can be used to mimic the degeneration mechanism in animal models.
Vida Khalili; Jafar Khalil Allafi; Hosein Maleki Ghaleh
Volume 6, Issue 1 , June 2012, , Pages 9-15
Abstract
NiTi shape memory alloy cannot provide all the clinical requirements of an implant due to the high nickel content and bio-inert surface. Thus, its surface is coated by bio-ceramics such as hydroxyapatite (HA) in different methods in order to improve biocompatibility and bioactivity. In the present ...
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NiTi shape memory alloy cannot provide all the clinical requirements of an implant due to the high nickel content and bio-inert surface. Thus, its surface is coated by bio-ceramics such as hydroxyapatite (HA) in different methods in order to improve biocompatibility and bioactivity. In the present study, a bio-active coating of HA using electrophoretic deposition technique was created on the surface of NiTi alloy to act as a barrier and prevent the diffusion of nickel ions in to the body fluid. A suspension was prepared by n-butanol as solvent and triethylenamine as dispersant. Coatings were deposited at different voltage of 40, 60 and 80 V for duration of 120s on the cathode. Then coated samples were sintered at 800 °C under argon atmosphere for 2 hrs. Evaluation of coatings was performed by X-ray diffraction techniques (XRD), scanning electron microscope (SEM) and energy dispersive X-ray spectroscopy (EDX). Bioactivity and corrosion behavior of HA coatings was studied within simulated body fluid (SBF) environment. The results showed, the sample coated at 60 V is dense, uniform, owing proper corrosion resistant, and also the ability for nucleation and growth of apatite layer in SBF.
Fluid-Structure Interaction in Biological Media / FSI
Afsane Mojra; Mohammad Tafazzoli Shadpour; Ehsan Yakhshi Tafti
Volume 2, Issue 1 , June 2008, , Pages 9-20
Abstract
Arterial stenosis and the consequent cardiovascular diseases such as atherosclerosis remain the major cause of mortality in the world. In this study, blood flow was analyzed in a three-dimensional model of stenosed carotid artery with asymmetric stenosis utilizing fluid-structure interaction method. ...
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Arterial stenosis and the consequent cardiovascular diseases such as atherosclerosis remain the major cause of mortality in the world. In this study, blood flow was analyzed in a three-dimensional model of stenosed carotid artery with asymmetric stenosis utilizing fluid-structure interaction method. The modeling was performed by ANSYS finite element software. To overcome the software inconsistency in FSI mode, a new code was designed in ANSYS multi-physics environment for coupling of solid and fluid domains via incremental boundary iteration method. The results indicated a considerable variation of local blood pressure, velocity and shear stress in stenosed artery, high pressure drop along stenosis, compressive stress and larger flow separation zone in the post-stenotic region as the result of increased eccentricity of stenosis. The results might be applied in evaluation of plaque severity, progression of disease, plaque growth and vulnerable regions of plaque to fracture.
Cardiovascular Biomechanics
Nasser Fatouraee; Mojtaba Gholipour Samarghaveh
Volume 1, Issue 1 , June 2007, , Pages 9-17
Abstract
Blood is one of the vital fluids of the human body. Measurement of its viscosity and other properties is very important in detecting and understanding different cardiovascular diseases. In this study, the blood flow in a concentric cylinder viscometer was simulated numerically. The blood flow patterns ...
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Blood is one of the vital fluids of the human body. Measurement of its viscosity and other properties is very important in detecting and understanding different cardiovascular diseases. In this study, the blood flow in a concentric cylinder viscometer was simulated numerically. The blood flow patterns were analyzed by applying different rotational speed of inner cylinder. Creation of a Couette flow, end effects and suitable rotational speed limit were analyzed. The amount of the torque applied to the inner cylinder which prevents the generation of the Taylor vortices was also predicted. From the obtained results, one can conclude that these vortices were not as important as the end effects were. In order to keep the blood sample temperature within a constant and acceptable range a thermal bath was used. Heat removal rate with different inflow rates of coolant was also predicted numerically.
Neuro-Muscular Engineering
Mehrak Mahmoudi; Mohammad Jafar Abd Khodaei; Saeide Khatibirad
Volume -2, Issue 1 , July 2005, , Pages 9-16
Abstract
A mathematical model is presented for simulation of neurotransmitter release in the synaptic cleft of a neuromuscular junction. Chaudhuri's model is improved by adding calcium diffusion effect on the neurotransmitter release. When an action potential occurs, the calcium channels on presynaptic membrane ...
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A mathematical model is presented for simulation of neurotransmitter release in the synaptic cleft of a neuromuscular junction. Chaudhuri's model is improved by adding calcium diffusion effect on the neurotransmitter release. When an action potential occurs, the calcium channels on presynaptic membrane will open and allow calcium ions to enter in presynaptic terminal. Then, these ions diffuse between calcium channels and release sites, where clearance mechanisms remove some of them. The model is defined by some partial differential equations which are solved by numerical methods. Solving these equations, the temporal changes of calcium concentration in the release sites and the amount of neurotransmitter release at each time are obtained. Finally, the effect of two consecutive action potential pulses on the above mechanisms is studied.
Cardiovascular Biomechanics
Mosayeb Mobasheri; Manije Mokhtari Dizaji; Faride Roshanali
Volume 10, Issue 1 , May 2016, , Pages 11-23
Abstract
Heart torsion is one of the biomechanical parameters that are sensitive to changes in both regional and global left ventricular (LV) function. In this study, angle of myocardium’s trajectory in three dimensions (Ф) was estimated by simultaneous use of two dimensional long apical and short ...
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Heart torsion is one of the biomechanical parameters that are sensitive to changes in both regional and global left ventricular (LV) function. In this study, angle of myocardium’s trajectory in three dimensions (Ф) was estimated by simultaneous use of two dimensional long apical and short axis views of LV septum sequential images. Then correlation of 3D angle and 2D rotation angle from long (χ) and short (θ) axis views respectively was estimated and compared at three levels of base, mid and apex of interventricular septum wall. Sequential two dimensional echocardiography images of long and short axis views with minimum temporal resolution 14 ms of 19 healthy men was recorded and analyzed. Interventricular septum wall motion at three levels of base, mid and apex were estimated using sequential images processing of echocardiography in long and short axis views with block matching algorithm throughout three cardiac cycles. Then correlation of 2D angle of rotation from long (χ) and short (θ) axis views was analyzed with three dimentional angular of myocardium’s trajectory (Ф) at three levels of base, mid and apex of interventricular septum wall. Ф, θ and χ angles at base level 16.33±3.01, 10.61±3.38 and 15.11±3.30 degrees, mid level 22.77±4.95, 7.78±2.96 and 16.72±2.66 degrees and apex level of interventricular septum wall 14.60±5.81, 10.37±5.48 and 8.79±3.32 degrees were extracted respectively. Regard to sensitivity of 3D angle to variation of motion in each of three dimensions, it is suggested for examination of biomechanical behavior myocardium in different pathologic conditions.
Nano-Biomaterials
Mohammad Nazari; Razieh Solgi; Ghazale Graily; Seyed Rabi Mahdavi; Alireza Shirazi
Volume 12, Issue 1 , June 2018, , Pages 11-23
Abstract
In clinical studies, it is difficult to determine the temperature distribution throughout both tumor and normal tissue during hyperthermia treatment, since temperatures are sampled at only a limited number of locations with conventional sensors. Simulation studies can help physicians understand better ...
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In clinical studies, it is difficult to determine the temperature distribution throughout both tumor and normal tissue during hyperthermia treatment, since temperatures are sampled at only a limited number of locations with conventional sensors. Simulation studies can help physicians understand better the effects of the treatment. In this study, three 2D tumor models are built in the COMSOL software environment based on the images of nano-particle distributions in sliced PC3, DU145 and LAPC4 tumors. The images are pre-processed in MATLAB before being imported into COMSOL. A uniform distribution model is added as a control group. Temperature distribution, maximum temperature, time to reach steady state, CEM43, iso-effective dose and heat flux at tumor-tissue boundary are analyzed to evaluate the effect of the nano-particle distribution on hyperthermia treatment. The results indicate that a more concentrated nano-particle distribution is better in damaging diseased tissue than the uniform distribution under high heating power. A more uniform distribution is better than the concentrated distribution under low heating power. For concentrated nano-particle distributions, the location where the nano-particles are concentrated influences tissue damage: a more centered one has a better effect. Tumor tissue is more likely to be defective.
Cardiovascular Biomechanics
Hadi Taghizadeh; Faezeh Amini
Volume 16, Issue 1 , May 2022, , Pages 11-21
Abstract
Atherosclerosis, a common cardiovascular disease, is among the leading causes of death. Many of the heart attacks results from ruptured atherosclerotic lesion and emboli formation. Then, the susceptibility of the lesion is a key factor in preventing negative outcomes of the rupture. Mechanisms of plaque ...
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Atherosclerosis, a common cardiovascular disease, is among the leading causes of death. Many of the heart attacks results from ruptured atherosclerotic lesion and emboli formation. Then, the susceptibility of the lesion is a key factor in preventing negative outcomes of the rupture. Mechanisms of plaque rupture are under debate. However, a general agreement on the bold contribution of hemodynamic factors including the blood pressure is established. In the current study, biomechanical impacts of plaque calcification procedure and the changed thickness of fibrous cap were investigated. To do so, a cross-section of the constricted coronary artery is reconstructed from the histological images and extruded in the axial direction of the artery to produce the three dimensional configuration of the coronary model. Holzapfel strain energy density function is utilized for mechanical description of the arterial tissue and the fibrous cap which enables us to adopt collagen fiber orientation into the mechanical model. Furthermore, since the constricted vessel configuration is asymmetrical, instead of simplified cylindrical coordinates for collagen orientation, a discrete coordinate system is assigned to every element and respective circumferential, axial and radial directions were assigned. With calcification, plaque is more stable and produces monotonic stress patterns in its vicinity. Also, the fibrous cap thickness plays an important role as a barrier to inhibit stress concentration from soft lipid core and disturb the mechanical loads to the neighboring regions. These two parameters, provide useful insight on mechanical load distribution around an atherosclerotic lesion and the pathway of arterial tissue toward a new homeostasis.
