Pub Date : 2018-11-01DOI: 10.1109/ICBME.2018.8703590
Seyyedeh Ensiyeh Hashemi, Mohammad Ali Ahmadi-Pajouh, Elham Shamsi
Movement is one of the most important abilities of the human being. Neurological disorders, such as spinal cord injury, stroke and Parkinson's disease can change all aspects of a patient’s life, from self-care to social behavior. One of the theories, which has a very strong evidence in rehabilitation, works on recovery of reflexes in order to treat patients. On the other hand, there has been a great deal of evidence that cerebrum has a very important role in recovery of functions. However, one open question is how these two views work together. In this research, change in the Hoffmann reflex (H-reflex) due to cortical activities was studied. The amplitude and delay of H-reflex before and after the motor imagery task were compared. Twelve healthy subjects participated in this study. Subjects were requested to imagine flexion and extension of wrist, and H-reflex was recorded during the imagery task. The EMG was recorded from flexor carpi radialis (FCR) muscle. There was a statistically significant difference between the H-reflex amplitude in the wrist flexion imagery and no-imagery condition (p-value = 0.002). However, there was no significant difference in the wrist extension imagery and no-imagery condition (p-value = 0.622). Thus, results can guide researchers to the conclusion that the motor imagery task may affect spinal reflexes.
{"title":"Does Motor Imagery Task Alter H-Reflex in FCR Muscle of The Human Hand?","authors":"Seyyedeh Ensiyeh Hashemi, Mohammad Ali Ahmadi-Pajouh, Elham Shamsi","doi":"10.1109/ICBME.2018.8703590","DOIUrl":"https://doi.org/10.1109/ICBME.2018.8703590","url":null,"abstract":"Movement is one of the most important abilities of the human being. Neurological disorders, such as spinal cord injury, stroke and Parkinson's disease can change all aspects of a patient’s life, from self-care to social behavior. One of the theories, which has a very strong evidence in rehabilitation, works on recovery of reflexes in order to treat patients. On the other hand, there has been a great deal of evidence that cerebrum has a very important role in recovery of functions. However, one open question is how these two views work together. In this research, change in the Hoffmann reflex (H-reflex) due to cortical activities was studied. The amplitude and delay of H-reflex before and after the motor imagery task were compared. Twelve healthy subjects participated in this study. Subjects were requested to imagine flexion and extension of wrist, and H-reflex was recorded during the imagery task. The EMG was recorded from flexor carpi radialis (FCR) muscle. There was a statistically significant difference between the H-reflex amplitude in the wrist flexion imagery and no-imagery condition (p-value = 0.002). However, there was no significant difference in the wrist extension imagery and no-imagery condition (p-value = 0.622). Thus, results can guide researchers to the conclusion that the motor imagery task may affect spinal reflexes.","PeriodicalId":338286,"journal":{"name":"2018 25th National and 3rd International Iranian Conference on Biomedical Engineering (ICBME)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125384046","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 : 2018-11-01DOI: 10.1109/ICBME.2018.8703502
A. Salari, B. M. Asl
In medical ultrasound imaging, the most famous adaptive beamforming algorithm is the minimum variance (MV). Diagonal loading (DL) method is usually used to improve the robustness of the MV. Conventional DL methods have a critical problem which is determining the loading factor ignoring the input data. To address this problem, in this paper, using the shrinkage algorithm is proposed in which the loading coefficient is completely automated and determined by the input data. The performance of the proposed algorithm is evaluated by simulated ultrasound data in Field II. In point targets simulation, it has been shown that the proposed method improves the resolution about 87% and 20%, compared to delay and sum (DAS) and MV algorithms (with a fixed loading coefficient of), respectively. In addition, in anechoic cyst simulation, the contrast and relative contrast of the proposed method has been retained, in comparison to those of the MV beamformer, while they are improved about 5% and 18%, in comparison to the DAS ones, respectively.
{"title":"Adaptive beamforming with automatic diagonal loading in medical ultrasound imaging","authors":"A. Salari, B. M. Asl","doi":"10.1109/ICBME.2018.8703502","DOIUrl":"https://doi.org/10.1109/ICBME.2018.8703502","url":null,"abstract":"In medical ultrasound imaging, the most famous adaptive beamforming algorithm is the minimum variance (MV). Diagonal loading (DL) method is usually used to improve the robustness of the MV. Conventional DL methods have a critical problem which is determining the loading factor ignoring the input data. To address this problem, in this paper, using the shrinkage algorithm is proposed in which the loading coefficient is completely automated and determined by the input data. The performance of the proposed algorithm is evaluated by simulated ultrasound data in Field II. In point targets simulation, it has been shown that the proposed method improves the resolution about 87% and 20%, compared to delay and sum (DAS) and MV algorithms (with a fixed loading coefficient of), respectively. In addition, in anechoic cyst simulation, the contrast and relative contrast of the proposed method has been retained, in comparison to those of the MV beamformer, while they are improved about 5% and 18%, in comparison to the DAS ones, respectively.","PeriodicalId":338286,"journal":{"name":"2018 25th National and 3rd International Iranian Conference on Biomedical Engineering (ICBME)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114599477","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 : 2018-11-01DOI: 10.1109/ICBME.2018.8703549
S. Mahdavi, M. Abdekhodaie, S. Mashayekhan
In this study the effects of temperature and polymer concentration were examined on the formation of neutral and acidic collagen nanofibers using benign solution. Neutral and acidic electrospun collagen nanofibers diameter were in the range of 90 to 220 nm and 160 to 310 nm respectively. Moreover, the acidic collagen solution had more stable jets and less bead formation was observed.` Fourier transform infrared spectroscopy showed the maintenance of the collagen triple helix at the temperature lower than 25°C for only neutral samples and the transition to the random coil in acidic collagen. In consequence, regarding the application of the scaffold factors such as pH, concentration of the polymer and temperature can be altered.
{"title":"Effect of pH along with other variables on physical properties of collagen nanofibers","authors":"S. Mahdavi, M. Abdekhodaie, S. Mashayekhan","doi":"10.1109/ICBME.2018.8703549","DOIUrl":"https://doi.org/10.1109/ICBME.2018.8703549","url":null,"abstract":"In this study the effects of temperature and polymer concentration were examined on the formation of neutral and acidic collagen nanofibers using benign solution. Neutral and acidic electrospun collagen nanofibers diameter were in the range of 90 to 220 nm and 160 to 310 nm respectively. Moreover, the acidic collagen solution had more stable jets and less bead formation was observed.` Fourier transform infrared spectroscopy showed the maintenance of the collagen triple helix at the temperature lower than 25°C for only neutral samples and the transition to the random coil in acidic collagen. In consequence, regarding the application of the scaffold factors such as pH, concentration of the polymer and temperature can be altered.","PeriodicalId":338286,"journal":{"name":"2018 25th National and 3rd International Iranian Conference on Biomedical Engineering (ICBME)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117073495","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 : 2018-11-01DOI: 10.1109/ICBME.2018.8703591
Ali Yazdani, Hojjat Aalizadeh, Farshid Karimi, Saeed Solouki, H. Soltanian-Zadeh
High precision center detection of X-markers is required in many applications such as navigation surgery systems and camera calibration. Hough transform is a preferable tool for extracting intersecting lines in an image, which leads to center detection. In this paper, we detect X-marker centers by the sub-pixel precision, using Hough transform. Switching to Hough space helps us to apply processes like thresholding, filtering and weighted averaging on coordinates. The algorithm involves two parameters ‘Hough Size’ and ‘Filter Size’ required to be adjusted for best performance of the algorithm. A dataset of 900 images is used and best performance is achieved by values of 180 and 23 for the above parameters, respectively. Using this setting, 90.8% of the centers are detected successfully by the sub-pixel precision. The average distance between detected centers and reference centers is 0.51 pixels. This suggests that the proposed algorithm has the potential to be utilized for sub-pixel marker detection.
{"title":"Sub-pixel X-marker detection by Hough transform","authors":"Ali Yazdani, Hojjat Aalizadeh, Farshid Karimi, Saeed Solouki, H. Soltanian-Zadeh","doi":"10.1109/ICBME.2018.8703591","DOIUrl":"https://doi.org/10.1109/ICBME.2018.8703591","url":null,"abstract":"High precision center detection of X-markers is required in many applications such as navigation surgery systems and camera calibration. Hough transform is a preferable tool for extracting intersecting lines in an image, which leads to center detection. In this paper, we detect X-marker centers by the sub-pixel precision, using Hough transform. Switching to Hough space helps us to apply processes like thresholding, filtering and weighted averaging on coordinates. The algorithm involves two parameters ‘Hough Size’ and ‘Filter Size’ required to be adjusted for best performance of the algorithm. A dataset of 900 images is used and best performance is achieved by values of 180 and 23 for the above parameters, respectively. Using this setting, 90.8% of the centers are detected successfully by the sub-pixel precision. The average distance between detected centers and reference centers is 0.51 pixels. This suggests that the proposed algorithm has the potential to be utilized for sub-pixel marker detection.","PeriodicalId":338286,"journal":{"name":"2018 25th National and 3rd International Iranian Conference on Biomedical Engineering (ICBME)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129845892","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 : 2018-11-01DOI: 10.1109/ICBME.2018.8703545
Goldis Safari, Babak Majidi, Pouria Khanzadi, M. T. Manzuri
Smart health applications are increasingly used in various healthcare environments. Deep neural networks provide the ability of visual interpretation of complex environments. An important part of providing smart health and smart care services, is patient monitoring and remote clinical decision management. In this paper a deep learning based patient monitoring and clinical decision management system for smart care facilities is proposed. The proposed cross-platform e-management system is a part of a medical business intelligence framework which is capable of helping care providers with various alerts, recommendations, data analytics and dashboards for better response to the situations in a smart care facility. The proposed system processes various information including the visual information to automatically alert the physician and care provider with the status of the patients. A series of simulations are performed for scenarios including children and adult care. The simulation results show that the proposed framework is capable of providing a cross-platform solution for patient monitoring in smart care facilities.
{"title":"Cross-Platform E- Management for Smart Care Facilities Using Deep Interpretation of Patient Surveillance Videos","authors":"Goldis Safari, Babak Majidi, Pouria Khanzadi, M. T. Manzuri","doi":"10.1109/ICBME.2018.8703545","DOIUrl":"https://doi.org/10.1109/ICBME.2018.8703545","url":null,"abstract":"Smart health applications are increasingly used in various healthcare environments. Deep neural networks provide the ability of visual interpretation of complex environments. An important part of providing smart health and smart care services, is patient monitoring and remote clinical decision management. In this paper a deep learning based patient monitoring and clinical decision management system for smart care facilities is proposed. The proposed cross-platform e-management system is a part of a medical business intelligence framework which is capable of helping care providers with various alerts, recommendations, data analytics and dashboards for better response to the situations in a smart care facility. The proposed system processes various information including the visual information to automatically alert the physician and care provider with the status of the patients. A series of simulations are performed for scenarios including children and adult care. The simulation results show that the proposed framework is capable of providing a cross-platform solution for patient monitoring in smart care facilities.","PeriodicalId":338286,"journal":{"name":"2018 25th National and 3rd International Iranian Conference on Biomedical Engineering (ICBME)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124225532","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 : 2018-11-01DOI: 10.1109/ICBME.2018.8703540
Kian Babanezhad, Hamed Azamoush, Safa Sanami
The Volume of the liver is a determining factor in measuring the severity of liver diseases and should be monitored regularly. Consequently, liver segmentation and volume estimation using image processing techniques play an important role in the follow up procedure. Automated liver segmentation is a challenging problem mostly addressed in CT images. MR imaging is preferred by radiologists for follow-up procedures since it does not expose patients to ionizing radiation and provides higher resolution. However, fewer studies report liver segmentation in MR images. MRI Liver segmentation represents a challenge due to presence of characteristic artifacts, such as partial volumes, noise, low contrast and poorly defined edges of the liver with respect to adjacent organs. In the present study we introduced a new automatic algorithm to 3D liver segmentation for MR and CE-MR images. The proposed algorithm includes a liver mean- shape that provides an automatic initialization together with a novel active contour method based on region with edge-weight and edge terms. In addition, different areas of liver were found, and dependent parameters were calculated automatically using modern geodesic function. We tested our algorithm on images acquired from 54 subjects in two hospitals. Finally, the results of the proposed method were compared with those of two conventional active contour methods.
{"title":"Automatic Liver Segmentation in MR and CE-MR Images with LCVAC - GAC Approach Using Mean- shape Initialization Technique","authors":"Kian Babanezhad, Hamed Azamoush, Safa Sanami","doi":"10.1109/ICBME.2018.8703540","DOIUrl":"https://doi.org/10.1109/ICBME.2018.8703540","url":null,"abstract":"The Volume of the liver is a determining factor in measuring the severity of liver diseases and should be monitored regularly. Consequently, liver segmentation and volume estimation using image processing techniques play an important role in the follow up procedure. Automated liver segmentation is a challenging problem mostly addressed in CT images. MR imaging is preferred by radiologists for follow-up procedures since it does not expose patients to ionizing radiation and provides higher resolution. However, fewer studies report liver segmentation in MR images. MRI Liver segmentation represents a challenge due to presence of characteristic artifacts, such as partial volumes, noise, low contrast and poorly defined edges of the liver with respect to adjacent organs. In the present study we introduced a new automatic algorithm to 3D liver segmentation for MR and CE-MR images. The proposed algorithm includes a liver mean- shape that provides an automatic initialization together with a novel active contour method based on region with edge-weight and edge terms. In addition, different areas of liver were found, and dependent parameters were calculated automatically using modern geodesic function. We tested our algorithm on images acquired from 54 subjects in two hospitals. Finally, the results of the proposed method were compared with those of two conventional active contour methods.","PeriodicalId":338286,"journal":{"name":"2018 25th National and 3rd International Iranian Conference on Biomedical Engineering (ICBME)","volume":"150 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123373829","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 : 2018-11-01DOI: 10.1109/ICBME.2018.8703578
N. Molaei, A. Mojra
Therapeutic ultrasound has been established as a targeted therapy treatment method. Nonlinear propagation of acoustic waves heats up the tissue especially in the region close to the ultrasound source. Intravascular Ultrasound uses thermal aspect of acoustic wave in the catheter size, in order to break down the blood clot tissue or plaque. A numerical method is conducted on three-dimensional model of the coronary artery partially blocked with a clot. The numerical simulation is developed to give a proper estimation of the temperature field through the coronary artery after implantation of the ultrasound catheter-assisted device. The wave propagates with the frequency of 1MHz and initial transducer pressure of 0.24MPa. Exposure of intravascular ultrasound leads to temperature rise of 1.54 °C during 100 seconds in the clot areas. Moreover, results show that by increasing the frequency of the transducer and the exposure time, the temperature rise could be increased.
{"title":"Numerical Simulation of Transducer-Tipped Ultrasound Catheter for Necrosis of Blood Clot through Coronary Artery","authors":"N. Molaei, A. Mojra","doi":"10.1109/ICBME.2018.8703578","DOIUrl":"https://doi.org/10.1109/ICBME.2018.8703578","url":null,"abstract":"Therapeutic ultrasound has been established as a targeted therapy treatment method. Nonlinear propagation of acoustic waves heats up the tissue especially in the region close to the ultrasound source. Intravascular Ultrasound uses thermal aspect of acoustic wave in the catheter size, in order to break down the blood clot tissue or plaque. A numerical method is conducted on three-dimensional model of the coronary artery partially blocked with a clot. The numerical simulation is developed to give a proper estimation of the temperature field through the coronary artery after implantation of the ultrasound catheter-assisted device. The wave propagates with the frequency of 1MHz and initial transducer pressure of 0.24MPa. Exposure of intravascular ultrasound leads to temperature rise of 1.54 °C during 100 seconds in the clot areas. Moreover, results show that by increasing the frequency of the transducer and the exposure time, the temperature rise could be increased.","PeriodicalId":338286,"journal":{"name":"2018 25th National and 3rd International Iranian Conference on Biomedical Engineering (ICBME)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133600777","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 : 2018-11-01DOI: 10.1109/ICBME.2018.8703581
Elham Mohammadpour, Y. Baleghi
This paper presents a new blood vessel segmentation approach in retinal images. Initially, an enhancement method based on illumination and contrast adjustment along with Gaussian smoothing is used in preprocessing step. Local coarse vessel segmentation and vessel refinement are employed in the next step to retrieve the vessels of various thicknesses. Circle Test and Branching Segment Detection (BSD) methods are reintroduced in this paper to adjust the algorithm with the width of vessel branches. The proposed method is evaluated with a recently popular measure BAcc (Balanced Accuracy), on DRIVE database. The results show that the proposed method outperforms most of unsupervised retinal blood vessel segmentation algorithms.
{"title":"Retinal Blood Vessel Segmentation Based on Vessel Branch Width Adaptation","authors":"Elham Mohammadpour, Y. Baleghi","doi":"10.1109/ICBME.2018.8703581","DOIUrl":"https://doi.org/10.1109/ICBME.2018.8703581","url":null,"abstract":"This paper presents a new blood vessel segmentation approach in retinal images. Initially, an enhancement method based on illumination and contrast adjustment along with Gaussian smoothing is used in preprocessing step. Local coarse vessel segmentation and vessel refinement are employed in the next step to retrieve the vessels of various thicknesses. Circle Test and Branching Segment Detection (BSD) methods are reintroduced in this paper to adjust the algorithm with the width of vessel branches. The proposed method is evaluated with a recently popular measure BAcc (Balanced Accuracy), on DRIVE database. The results show that the proposed method outperforms most of unsupervised retinal blood vessel segmentation algorithms.","PeriodicalId":338286,"journal":{"name":"2018 25th National and 3rd International Iranian Conference on Biomedical Engineering (ICBME)","volume":"601 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123186015","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}
Temporal lobe epilepsy (TLE) has been investigated by many researchers in the last two decades. Many efforts have been done based on magnetic resonance imaging (MRI) data such as identifying the TLE type, identifying the missing links, and automatically classifying epileptic subjects. Investigating TLE patients has paved the way for introducing, comparing, and developing new algorithms on diffusion weighted imaging (DWI) data. Fixel study is one of the newest methods for DWI analysis. Superiority of this method over other methods such as diffusion tensor imaging (DTI) is in correct recording of cross-over fibers. Furthermore, combination of fiber density and fiber cross-section measures has created a suitable method for group studies. Using fixel-based analysis, we have depicted the most important alterations in the fiber density of TLE patients. Statistically significant alteration in the ipsilateral hemisphere has been demonstrated for both right and left TLE. Superiority of fiber density and cross-section (FDC) over fiber density (FD) for TLE studies is illustrated.
{"title":"Fixel-Based Analysis of White Matter in Temporal Lobe Epilepsy","authors":"Mohamad Feshki, Elahe Parham, Hamid Soltanin-Zadeh","doi":"10.1109/ICBME.2018.8703504","DOIUrl":"https://doi.org/10.1109/ICBME.2018.8703504","url":null,"abstract":"Temporal lobe epilepsy (TLE) has been investigated by many researchers in the last two decades. Many efforts have been done based on magnetic resonance imaging (MRI) data such as identifying the TLE type, identifying the missing links, and automatically classifying epileptic subjects. Investigating TLE patients has paved the way for introducing, comparing, and developing new algorithms on diffusion weighted imaging (DWI) data. Fixel study is one of the newest methods for DWI analysis. Superiority of this method over other methods such as diffusion tensor imaging (DTI) is in correct recording of cross-over fibers. Furthermore, combination of fiber density and fiber cross-section measures has created a suitable method for group studies. Using fixel-based analysis, we have depicted the most important alterations in the fiber density of TLE patients. Statistically significant alteration in the ipsilateral hemisphere has been demonstrated for both right and left TLE. Superiority of fiber density and cross-section (FDC) over fiber density (FD) for TLE studies is illustrated.","PeriodicalId":338286,"journal":{"name":"2018 25th National and 3rd International Iranian Conference on Biomedical Engineering (ICBME)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115466322","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 : 2018-11-01DOI: 10.1109/ICBME.2018.8703597
Roghayeh Haghjoo, A. Karkhaneh
This project designed surface modification for films made from natural Chitosan-Alginate polymers containing multiple ratios via chemically immobilizing the gelatin polymer. Chitosan-Alginate (C-A) solutions were prepared in 8:2, 7:3 and 5:5 weight percentages. Afterwards, these solutions were used to make composite films to use as solvent casting. Gelatin (G) was immobilized onto C-A films using the crosslinking reagents, which included Glutaraldehyde. The effects of C-A ratio, gelatin concentration, amount of crosslinking agent and duration of immobilization process on the actual immobilized layer were investigated. The films were characterized by Scanning Electron Microscopy (SEM), Furrier Transformer Infrared Spectroscopy (FTIR), Differential Scanning Calorimetry (DSC) and Zeta Potential. SEM images demonstrated that immobilization onto 7:3 and 5:5 weight percentages ratios of C-A, resulted in a more consistent gelatin layer compared to 8:2. FTIR stereoscopy, which showed the appearance of amid peak in modified films. In DSC curves, suppression in Glass Transmission Temperature (Tg) in modified films was detected. Also, Zeta potential decreased as the amount of gelatin layer on C-A films was increased. The newly developed (C-A-G) Composite films by simple, yet effective method of immobilization can be used for various biomedical applications like tissue engineering and wound healing.
{"title":"Enhanced Biomedical Properties of Chitosan/Alginate Composites by Chemical Immobilization of Gelatin layer on the surface","authors":"Roghayeh Haghjoo, A. Karkhaneh","doi":"10.1109/ICBME.2018.8703597","DOIUrl":"https://doi.org/10.1109/ICBME.2018.8703597","url":null,"abstract":"This project designed surface modification for films made from natural Chitosan-Alginate polymers containing multiple ratios via chemically immobilizing the gelatin polymer. Chitosan-Alginate (C-A) solutions were prepared in 8:2, 7:3 and 5:5 weight percentages. Afterwards, these solutions were used to make composite films to use as solvent casting. Gelatin (G) was immobilized onto C-A films using the crosslinking reagents, which included Glutaraldehyde. The effects of C-A ratio, gelatin concentration, amount of crosslinking agent and duration of immobilization process on the actual immobilized layer were investigated. The films were characterized by Scanning Electron Microscopy (SEM), Furrier Transformer Infrared Spectroscopy (FTIR), Differential Scanning Calorimetry (DSC) and Zeta Potential. SEM images demonstrated that immobilization onto 7:3 and 5:5 weight percentages ratios of C-A, resulted in a more consistent gelatin layer compared to 8:2. FTIR stereoscopy, which showed the appearance of amid peak in modified films. In DSC curves, suppression in Glass Transmission Temperature (Tg) in modified films was detected. Also, Zeta potential decreased as the amount of gelatin layer on C-A films was increased. The newly developed (C-A-G) Composite films by simple, yet effective method of immobilization can be used for various biomedical applications like tissue engineering and wound healing.","PeriodicalId":338286,"journal":{"name":"2018 25th National and 3rd International Iranian Conference on Biomedical Engineering (ICBME)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130824424","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}
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