Pub Date : 2020-11-26DOI: 10.1109/ICBME51989.2020.9319410
Sadegh Ghofrani, Ali Abouei Mehrizi
Calcium phosphate cements are one the best grafting materials in bone fracture repair. They are easily shapeable, bioactive, and biocompatible. These group of materials have lower fracture toughness and compressive strength, due to their porosity. For enhancement of some mechanical properties and reducing porosity, they are combined with materials such as hydroxyapatite fibers. This combination makes it possible to control and increase elastic modulus and compressive strength. The shape and the orientation of fibers can affect these parameters. In this study, mechanical properties of calcium phosphate cement which is enhanced by three different shaped fibers of hydroxyapatite is investigated via FEM simulation. Ratio of the fibers added in this composite cement is 10 vol.% and they are in spherical, ellipsoidal, and polyhedral shapes. Three specimens have about same elastic modulus but compressive strengths of each specimen and the stress distribution among the fibers are different.
{"title":"Effect of hydroxyapatite fiber’s shape on mechanical properties of calcium phosphate cement","authors":"Sadegh Ghofrani, Ali Abouei Mehrizi","doi":"10.1109/ICBME51989.2020.9319410","DOIUrl":"https://doi.org/10.1109/ICBME51989.2020.9319410","url":null,"abstract":"Calcium phosphate cements are one the best grafting materials in bone fracture repair. They are easily shapeable, bioactive, and biocompatible. These group of materials have lower fracture toughness and compressive strength, due to their porosity. For enhancement of some mechanical properties and reducing porosity, they are combined with materials such as hydroxyapatite fibers. This combination makes it possible to control and increase elastic modulus and compressive strength. The shape and the orientation of fibers can affect these parameters. In this study, mechanical properties of calcium phosphate cement which is enhanced by three different shaped fibers of hydroxyapatite is investigated via FEM simulation. Ratio of the fibers added in this composite cement is 10 vol.% and they are in spherical, ellipsoidal, and polyhedral shapes. Three specimens have about same elastic modulus but compressive strengths of each specimen and the stress distribution among the fibers are different.","PeriodicalId":120969,"journal":{"name":"2020 27th National and 5th International Iranian Conference on Biomedical Engineering (ICBME)","volume":"261 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123438153","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-11-26DOI: 10.1109/ICBME51989.2020.9319464
Mahtab Mehrabbeik, S. Rashidi, A. Fallah, Elaheh Rafiei Khoshnood
Cardiovascular diseases (CVDs) are one of the leading causes of death each year. Early diagnosis of CVDs can help to control and prevent the complication of heart diseases. Although auscultation is one of the conventional methods of CVDs diagnosis, it is not accurate enough because of the human hearing restrictions and nonstationary nature of the heart sounds. Because the heart sound or phonocardiogram (PCG) signal contains heart functional information, it can be employed to diagnose various types of CVDs. The goal of this study is to detect Mitral valve Prolapse (PMV) using PCGs. To reach the goal, first, the PCGs were denoised using the Chebyshev filter along with the Wavelet Transform (WT). Then, using the Shannon Energy Envelope (SEE) along with adaptive thresholding, the denoised PCGs were divided into the cardiac cycles. Fractional Fourier Transform (FrFT) was performed to extract the desired features in the time-frequency space. Based on the Mahalanobis distance criterion, the optimal features were selected. The results of the proposed algorithm on the 15 prolapsed and 5 non-prolapsed patients show 95.65% accuracy using the SVM classifier.
心血管疾病(cvd)是每年死亡的主要原因之一。心血管疾病的早期诊断有助于控制和预防心脏病并发症。虽然听诊是cvd的常规诊断方法之一，但由于人的听力限制和心音的非静止性，听诊不够准确。由于心音或心音图(PCG)信号中含有心功能信息，可用于诊断各种类型的心血管疾病。本研究的目的是利用PCGs检测二尖瓣脱垂(PMV)。为了达到目标，首先，使用切比雪夫滤波器和小波变换(WT)对pcg进行去噪。然后，利用香农能量包络(Shannon Energy Envelope, SEE)和自适应阈值法，对去噪后的心电图进行心循环划分。采用分数阶傅立叶变换(FrFT)在时频空间中提取所需特征。基于马氏距离准则，选取最优特征。采用SVM分类器对15例脱垂患者和5例非脱垂患者进行分类，准确率达到95.65%。
{"title":"Computerized Diagnosis of the Prolapsed Mitral Valve Using Heart Sound Signal","authors":"Mahtab Mehrabbeik, S. Rashidi, A. Fallah, Elaheh Rafiei Khoshnood","doi":"10.1109/ICBME51989.2020.9319464","DOIUrl":"https://doi.org/10.1109/ICBME51989.2020.9319464","url":null,"abstract":"Cardiovascular diseases (CVDs) are one of the leading causes of death each year. Early diagnosis of CVDs can help to control and prevent the complication of heart diseases. Although auscultation is one of the conventional methods of CVDs diagnosis, it is not accurate enough because of the human hearing restrictions and nonstationary nature of the heart sounds. Because the heart sound or phonocardiogram (PCG) signal contains heart functional information, it can be employed to diagnose various types of CVDs. The goal of this study is to detect Mitral valve Prolapse (PMV) using PCGs. To reach the goal, first, the PCGs were denoised using the Chebyshev filter along with the Wavelet Transform (WT). Then, using the Shannon Energy Envelope (SEE) along with adaptive thresholding, the denoised PCGs were divided into the cardiac cycles. Fractional Fourier Transform (FrFT) was performed to extract the desired features in the time-frequency space. Based on the Mahalanobis distance criterion, the optimal features were selected. The results of the proposed algorithm on the 15 prolapsed and 5 non-prolapsed patients show 95.65% accuracy using the SVM classifier.","PeriodicalId":120969,"journal":{"name":"2020 27th National and 5th International Iranian Conference on Biomedical Engineering (ICBME)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125508101","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-11-26DOI: 10.1109/ICBME51989.2020.9319460
Mohammad Hossein Masoudi, M. Mikaeili
Hodgkin's disease is a cancer of the lymphatic system, which is part of the immune system. For an accurate diagnosis, a pathologist examines a slide of a sample of lymph node tissue stained with hematoxylin and eosin to find a tumoral cell called Reed-Sternberg cell. The diagnosis is subjective and prone to inter/intra-observer variations. Furthermore, it is a time-consuming task. Therefore, there is a necessity to provide an automatic system for better diagnosis and detection. In this paper, a method for identifying Reed-Sternberg cell nuclei in histopathological images of lymph nodes stained with (H&E) is presented. In the preprocessing stage, noise and annoying structures are removed. Then, we identify RS cell nuclei using three different segmentation algorithms based on morphological, color, and textural features. Using the Chan-Vese Active Contour model, we find the exact boundary of the RS cell nuclei in the histopathological image and distinguish them from other objects in the image with high accuracy. The proposed scheme is tested on an actual dataset containing 98 Reed-Sternberg cell images. The experiments' results show a high correlation between the results of the proposed algorithm and the ground-truth described by the pathologists. Moreover, a comparative study with other cell nuclei segmentation methods on histopathological images demonstrates the proposed method's efficiency. It gives the highest average accuracy rate (93.80 %) compared to recent approaches.
{"title":"Diagnosis of Hodgkin's disease by identifying Reed-Sternberg cell nuclei in histopathological images of lymph nodes stained with Hematoxylin and Eosin","authors":"Mohammad Hossein Masoudi, M. Mikaeili","doi":"10.1109/ICBME51989.2020.9319460","DOIUrl":"https://doi.org/10.1109/ICBME51989.2020.9319460","url":null,"abstract":"Hodgkin's disease is a cancer of the lymphatic system, which is part of the immune system. For an accurate diagnosis, a pathologist examines a slide of a sample of lymph node tissue stained with hematoxylin and eosin to find a tumoral cell called Reed-Sternberg cell. The diagnosis is subjective and prone to inter/intra-observer variations. Furthermore, it is a time-consuming task. Therefore, there is a necessity to provide an automatic system for better diagnosis and detection. In this paper, a method for identifying Reed-Sternberg cell nuclei in histopathological images of lymph nodes stained with (H&E) is presented. In the preprocessing stage, noise and annoying structures are removed. Then, we identify RS cell nuclei using three different segmentation algorithms based on morphological, color, and textural features. Using the Chan-Vese Active Contour model, we find the exact boundary of the RS cell nuclei in the histopathological image and distinguish them from other objects in the image with high accuracy. The proposed scheme is tested on an actual dataset containing 98 Reed-Sternberg cell images. The experiments' results show a high correlation between the results of the proposed algorithm and the ground-truth described by the pathologists. Moreover, a comparative study with other cell nuclei segmentation methods on histopathological images demonstrates the proposed method's efficiency. It gives the highest average accuracy rate (93.80 %) compared to recent approaches.","PeriodicalId":120969,"journal":{"name":"2020 27th National and 5th International Iranian Conference on Biomedical Engineering (ICBME)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116375836","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-11-26DOI: 10.1109/ICBME51989.2020.9319431
Roya Kheyrkhah Shali, S. Setarehdan
Dyslexia is a learning disorder and involves disability in reading. It is a deficit with a brain origin despite the presence of good intelligence. Dyslexic patients may have lower rates of learning compared to healthy individuals of the same age. This is a critical problem in the learning process at school years, which makes it important to determine the origin of dyslexia in the brain for treatment. There are different methods to investigate how the brain works. One of these methods is to record brain signals (Electroencephalography (EEG)). Dyslexic children have shown some anxiety and restlessness due to inability to perform tasks properly. Thus, their additional movements may cause an error in the signal recording. Reducing the number of connections decreases the possibility of measurement errors in EEG recording. We determined the optimal group of electrodes for Identification Dyslexic Patients in this research. The reduction in the number of electrodes makes the test easier and more practical. Classification accuracy can also improve with the removal of irrelevant channels. Bhagavatula (2009) and Modrzejewski (1993) increased the accuracy of the classification by removing inefficient electrodes. For this purpose, we extracted the best features including RSP features, mean, standard deviation, skewness and kurtosis, hjorth and AR parameters. Then, both SVM and Bayes classifiers were used to separate two classes. We used Mutual Information (MI) to electrode reduction. The aim of the proposed method is to apply reduced electrodes on dyslexic children and reach acceptable results for diagnosis. Finally, we succeeded to reduce the number of electrode channels from 19 to 2-6 and attain a classification accuracy of 70%.
{"title":"The impact of electrode reduction in the diagnosis of dyslexia","authors":"Roya Kheyrkhah Shali, S. Setarehdan","doi":"10.1109/ICBME51989.2020.9319431","DOIUrl":"https://doi.org/10.1109/ICBME51989.2020.9319431","url":null,"abstract":"Dyslexia is a learning disorder and involves disability in reading. It is a deficit with a brain origin despite the presence of good intelligence. Dyslexic patients may have lower rates of learning compared to healthy individuals of the same age. This is a critical problem in the learning process at school years, which makes it important to determine the origin of dyslexia in the brain for treatment. There are different methods to investigate how the brain works. One of these methods is to record brain signals (Electroencephalography (EEG)). Dyslexic children have shown some anxiety and restlessness due to inability to perform tasks properly. Thus, their additional movements may cause an error in the signal recording. Reducing the number of connections decreases the possibility of measurement errors in EEG recording. We determined the optimal group of electrodes for Identification Dyslexic Patients in this research. The reduction in the number of electrodes makes the test easier and more practical. Classification accuracy can also improve with the removal of irrelevant channels. Bhagavatula (2009) and Modrzejewski (1993) increased the accuracy of the classification by removing inefficient electrodes. For this purpose, we extracted the best features including RSP features, mean, standard deviation, skewness and kurtosis, hjorth and AR parameters. Then, both SVM and Bayes classifiers were used to separate two classes. We used Mutual Information (MI) to electrode reduction. The aim of the proposed method is to apply reduced electrodes on dyslexic children and reach acceptable results for diagnosis. Finally, we succeeded to reduce the number of electrode channels from 19 to 2-6 and attain a classification accuracy of 70%.","PeriodicalId":120969,"journal":{"name":"2020 27th National and 5th International Iranian Conference on Biomedical Engineering (ICBME)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126464619","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-11-26DOI: 10.1109/icbme51989.2020.9319437
{"title":"[ICBME 2020 Front cover]","authors":"","doi":"10.1109/icbme51989.2020.9319437","DOIUrl":"https://doi.org/10.1109/icbme51989.2020.9319437","url":null,"abstract":"","PeriodicalId":120969,"journal":{"name":"2020 27th National and 5th International Iranian Conference on Biomedical Engineering (ICBME)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128129461","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-11-26DOI: 10.1109/ICBME51989.2020.9319443
S. Tayyebi, Sara Ghasemi, M. Mokhlesabadi, S. Barati, N. Fatouraee
The high prevalence of cardiovascular diseases has increased the demand for using different stents. To prevent instent restenosis, the design and fabrication of safer stents for coronary angioplasty is essential. However, prototyping and mechanical testing of new stent designs are challenging, time-consuming, and expensive procedures. Therefore, parametric models and finite element simulations are used to help designers improve stent designs. In this study, three commercially available coronary stents are parametrically designed and modeled based on their diameter, number of rings, number of peaks, and strut thickness. Moreover, a finite element simulation of the expansion of each model in the artery is performed to investigate the effect of links on stent function and vascular injury. The results demonstrate that the applied stresses on the stent during its placement in the coronary artery are beyond elastic limits, and the stent’s material enters its plastic zone accordingly. The applied strain is less than the failure strain of the material. By comparing maximum Von-Mises stress, foreshortening, and dogboning of different types of stents, it can be concluded that the closed-cell stent is a safer model and causes fewer side effects regarding vascular injuries. However, open-cell stents provide more flexibility and can be advantageous in curved vessels. It is noteworthy that parametric modeling of stents can be beneficial in future studies and finite element analysis of stents for understanding the effect of the geometric parameters on stent function.
{"title":"Parametric Design and Finite Element Simulation of Coronary Stents","authors":"S. Tayyebi, Sara Ghasemi, M. Mokhlesabadi, S. Barati, N. Fatouraee","doi":"10.1109/ICBME51989.2020.9319443","DOIUrl":"https://doi.org/10.1109/ICBME51989.2020.9319443","url":null,"abstract":"The high prevalence of cardiovascular diseases has increased the demand for using different stents. To prevent instent restenosis, the design and fabrication of safer stents for coronary angioplasty is essential. However, prototyping and mechanical testing of new stent designs are challenging, time-consuming, and expensive procedures. Therefore, parametric models and finite element simulations are used to help designers improve stent designs. In this study, three commercially available coronary stents are parametrically designed and modeled based on their diameter, number of rings, number of peaks, and strut thickness. Moreover, a finite element simulation of the expansion of each model in the artery is performed to investigate the effect of links on stent function and vascular injury. The results demonstrate that the applied stresses on the stent during its placement in the coronary artery are beyond elastic limits, and the stent’s material enters its plastic zone accordingly. The applied strain is less than the failure strain of the material. By comparing maximum Von-Mises stress, foreshortening, and dogboning of different types of stents, it can be concluded that the closed-cell stent is a safer model and causes fewer side effects regarding vascular injuries. However, open-cell stents provide more flexibility and can be advantageous in curved vessels. It is noteworthy that parametric modeling of stents can be beneficial in future studies and finite element analysis of stents for understanding the effect of the geometric parameters on stent function.","PeriodicalId":120969,"journal":{"name":"2020 27th National and 5th International Iranian Conference on Biomedical Engineering (ICBME)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133431382","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-11-26DOI: 10.1109/ICBME51989.2020.9319408
Maryam Kiakojouri, H. Momeni, A. Ramezani
Brain dynamic modeling is essential in understanding neural mechanisms and also developing neurotechnologies such as closed-loop brain stimulation systems that are used in a broad range of neurological disorders. In this paper, intending to model brain’s dynamic in the presence of non-invasive stimulation, we present a dynamic model of electroencephalography (EEG) activity under transcranial magnetic stimulation (TMS). In this regard, using collected data from the conducted TMS/EEG experiment and performing special preprocessing steps on that we build a multi-input multi-output (MIMO) linear state-space model (LSSM) for the temporal dynamics of EEG signal. To further investigate LSSM's performance, we also use a multilayer perceptron (MLP) model structure and evaluate its prediction ability. Results illustrate that despite the low signal-to-noise ratio in EEG signal, especially during the stimulation, LSSM as a general linear model performs well in predicting EEG dynamics. Also, choosing an MLP nonlinear structure with more complexity does not improve the prediction performance. The present study can be considered as a preliminary approach in modeling neural signals during stimulation. Expanding the proposed method in modeling other features of neural signals during the stimulation procedures can be a promising step toward designing closed-loop stimulation systems.
{"title":"Brain State-Space Model Parameters Estimation During Non-Invasive Stimulation","authors":"Maryam Kiakojouri, H. Momeni, A. Ramezani","doi":"10.1109/ICBME51989.2020.9319408","DOIUrl":"https://doi.org/10.1109/ICBME51989.2020.9319408","url":null,"abstract":"Brain dynamic modeling is essential in understanding neural mechanisms and also developing neurotechnologies such as closed-loop brain stimulation systems that are used in a broad range of neurological disorders. In this paper, intending to model brain’s dynamic in the presence of non-invasive stimulation, we present a dynamic model of electroencephalography (EEG) activity under transcranial magnetic stimulation (TMS). In this regard, using collected data from the conducted TMS/EEG experiment and performing special preprocessing steps on that we build a multi-input multi-output (MIMO) linear state-space model (LSSM) for the temporal dynamics of EEG signal. To further investigate LSSM's performance, we also use a multilayer perceptron (MLP) model structure and evaluate its prediction ability. Results illustrate that despite the low signal-to-noise ratio in EEG signal, especially during the stimulation, LSSM as a general linear model performs well in predicting EEG dynamics. Also, choosing an MLP nonlinear structure with more complexity does not improve the prediction performance. The present study can be considered as a preliminary approach in modeling neural signals during stimulation. Expanding the proposed method in modeling other features of neural signals during the stimulation procedures can be a promising step toward designing closed-loop stimulation systems.","PeriodicalId":120969,"journal":{"name":"2020 27th National and 5th International Iranian Conference on Biomedical Engineering (ICBME)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132629997","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-11-26DOI: 10.1109/ICBME51989.2020.9319459
M. Salmeh, Mehrab Pourmadadi, F. Yazdian, H. Rashedi
The number of patients with various types of skin wounds has increased due to the emergence of new skin diseases. So that the traditional dressings have fallen out of the reach of researchers and replaced with new ones. Nowadays, biopolymeric scaffolds, especially nanofibers, are widely considered for engineering applications of skin tissue and wound coating. At first, Graphene oxide was synthesized from graphite and then added to the extract of Nigella sativa and Arginine. FTIR, Zeta potential, SEM and Mapping Elemental analyzes were used to confirm the accuracy of the materials. The antibacterial properties of the materials were also evaluated by MIC, OD and disk diffusion assay. The results showed that these materials are capable of inhibiting the growth of Gram-positive and Gram-negative bacteria. Next, the PVA solution was prepared and combined with GO/NS/Arg to produce by the electro spinning process of nanofibers. FTIR and elemental mapping confirmed the presence of nanomaterials in the nanofibers. Also, tensile strength test was performed to investigate the properties of nanofibers. According to the results, the tensile strength in the presence of GO/NS/Arg showed good results and its maximum strain was 1.42. Fibroblast cells were used to evaluate cell toxicity and viability by MTT and Scratching methods. The results indicate the non-toxicity of the nanocomposite at concentration 2 (µg)/mL. Nanofibers were used to investigate wound healing in animal models, and the results indicated that these nanofibers can accelerate the wound healing process, so that after 14 days the wound healing rate was 93.126%.
{"title":"Antibacterial Polymeric Wound Dressing Based On PVA/Graphene Oxide-Nigella Sativa-Arginine","authors":"M. Salmeh, Mehrab Pourmadadi, F. Yazdian, H. Rashedi","doi":"10.1109/ICBME51989.2020.9319459","DOIUrl":"https://doi.org/10.1109/ICBME51989.2020.9319459","url":null,"abstract":"The number of patients with various types of skin wounds has increased due to the emergence of new skin diseases. So that the traditional dressings have fallen out of the reach of researchers and replaced with new ones. Nowadays, biopolymeric scaffolds, especially nanofibers, are widely considered for engineering applications of skin tissue and wound coating. At first, Graphene oxide was synthesized from graphite and then added to the extract of Nigella sativa and Arginine. FTIR, Zeta potential, SEM and Mapping Elemental analyzes were used to confirm the accuracy of the materials. The antibacterial properties of the materials were also evaluated by MIC, OD and disk diffusion assay. The results showed that these materials are capable of inhibiting the growth of Gram-positive and Gram-negative bacteria. Next, the PVA solution was prepared and combined with GO/NS/Arg to produce by the electro spinning process of nanofibers. FTIR and elemental mapping confirmed the presence of nanomaterials in the nanofibers. Also, tensile strength test was performed to investigate the properties of nanofibers. According to the results, the tensile strength in the presence of GO/NS/Arg showed good results and its maximum strain was 1.42. Fibroblast cells were used to evaluate cell toxicity and viability by MTT and Scratching methods. The results indicate the non-toxicity of the nanocomposite at concentration 2 (µg)/mL. Nanofibers were used to investigate wound healing in animal models, and the results indicated that these nanofibers can accelerate the wound healing process, so that after 14 days the wound healing rate was 93.126%.","PeriodicalId":120969,"journal":{"name":"2020 27th National and 5th International Iranian Conference on Biomedical Engineering (ICBME)","volume":"5 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133211856","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-11-26DOI: 10.1109/ICBME51989.2020.9319462
Reyhane Faraji, Vida Shams Esfand Abadi, M. B. Shirin
The intervertebral disc (IVD) plays an important role in the normal functioning of the spine and acts as an interface to hold the vertebra together. IVDs have been subjected to different tests to find out their mechanical models. Different species of animal models are used for in vivo and in vitro for spinal column researches. Many studies have found similarities between sheep and human spines in terms of anatomy and geometry. The study of biomechanical similarities is essential for the improvement of diseases and surgical techniques. Obtaining precise mechanical behavior of IVDs is great importance for researching. In this study we try to investigate the hyperelastic behavior of sheep intervertebral disc and also find the appropriate mathematical model for describing of that. In order to do this, after isolating intervertebral disc from sheep uniaxial compression tests with constant strain rate carried out and the achieved data were used to fitted by three conventional hyper-elastic models, i.e. Moony-Rivlin, Neo-Hookean and Yeoh to report the best hyperelastic model for IVD.
{"title":"Hyperelastic Constitutive Model for Sheep Intervertebral Disc","authors":"Reyhane Faraji, Vida Shams Esfand Abadi, M. B. Shirin","doi":"10.1109/ICBME51989.2020.9319462","DOIUrl":"https://doi.org/10.1109/ICBME51989.2020.9319462","url":null,"abstract":"The intervertebral disc (IVD) plays an important role in the normal functioning of the spine and acts as an interface to hold the vertebra together. IVDs have been subjected to different tests to find out their mechanical models. Different species of animal models are used for in vivo and in vitro for spinal column researches. Many studies have found similarities between sheep and human spines in terms of anatomy and geometry. The study of biomechanical similarities is essential for the improvement of diseases and surgical techniques. Obtaining precise mechanical behavior of IVDs is great importance for researching. In this study we try to investigate the hyperelastic behavior of sheep intervertebral disc and also find the appropriate mathematical model for describing of that. In order to do this, after isolating intervertebral disc from sheep uniaxial compression tests with constant strain rate carried out and the achieved data were used to fitted by three conventional hyper-elastic models, i.e. Moony-Rivlin, Neo-Hookean and Yeoh to report the best hyperelastic model for IVD.","PeriodicalId":120969,"journal":{"name":"2020 27th National and 5th International Iranian Conference on Biomedical Engineering (ICBME)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124350409","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-11-26DOI: 10.1109/ICBME51989.2020.9319465
Gelareh Valizadeh, F. B. Mofrad, Ahmad Shalbaf
Registration and finding anatomical correspondent landmarks amongst the volumetric images in both inter and intra-subject studies are prevalent challenges, especially in the field of cardiac image analysis. On the other hand, among other functional criteria, the strain is promising to identify differences in the early stages of cardiac diseases. This study aims to develop a transformation model on the existing FFD non-rigid registration algorithm using combining the shape-based and the intensity-based approaches. A novel two-step multi-resolution non-rigid FFD-based registration algorithm was proposed to measure the radial strain of the left ventricle during the cardiac cycle using cine-MRI images. The endocardial wall shape information was introduced to improve the registration accuracy by combining the original intensity-based registration with the shape-based registration approach. The proposed algorithm was evaluated on ten sequences of cine-MR images: First, the proposed algorithm was validated by two identified 3D-landmarks and then applied to a healthy subject and an LVH patient to calculate the left ventricle regional radial strain during a cardiac cycle. Regarding two anatomical landmarks, their estimated displacements from our proposed two-step registration algorithm showed a better match with the reference values compared to the classical registration method. Moreover, a comparison of normal and abnormal radial segmental strain values calculated by our proposed algorithm showed a clear difference in their functional properties. The promising results showed that the proposed registration algorithm outperformed the conventional one in terms of the accuracies of the point-tracking.
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