Pub Date : 2010-04-21DOI: 10.1109/BIYOMUT.2010.5479776
Alireza Mazloumi Gavgani, Y. Serinağaoğlu
In this study several inverse problem of electrocardiography (ECG) solution algorithms are combined to be accessed with a single graphical user interface. This interface is designed to be used for both research and educational purposes. Although this interface is mainly designed for the inverse problem of ECG it could be benefited to solve other inverse problems as well. This interface provides a number of error functions as well as a direct link to Map3D program which provides a 3 dimensional display of the results on the heart surface. It is certain that the quantitive and visual results displayed in this interface ease the comparison of different inverse ECG algorithms significantly.
{"title":"Graphical user interface for inverse problem of electrocardiography","authors":"Alireza Mazloumi Gavgani, Y. Serinağaoğlu","doi":"10.1109/BIYOMUT.2010.5479776","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2010.5479776","url":null,"abstract":"In this study several inverse problem of electrocardiography (ECG) solution algorithms are combined to be accessed with a single graphical user interface. This interface is designed to be used for both research and educational purposes. Although this interface is mainly designed for the inverse problem of ECG it could be benefited to solve other inverse problems as well. This interface provides a number of error functions as well as a direct link to Map3D program which provides a 3 dimensional display of the results on the heart surface. It is certain that the quantitive and visual results displayed in this interface ease the comparison of different inverse ECG algorithms significantly.","PeriodicalId":180275,"journal":{"name":"2010 15th National Biomedical Engineering Meeting","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133946067","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 : 2010-04-21DOI: 10.1109/BIYOMUT.2010.5479855
Duygu Sertel, Yunus Şen Bozdemir, Nalan Özkurt
In this study, the white matter, gray matter and the tissues affected by Multiple Sclerosis are segmented semi-automatically from Magnetic Resonance images using programming environments ITK (Insight Registration and Segmentation Toolkit), VTK (Visualization Toolkit) and MeVisLab (Medical Image Processing and Visualization).
在本研究中，使用ITK (Insight Registration and Segmentation Toolkit)、VTK (Visualization Toolkit)和MeVisLab (Medical Image Processing and Visualization)编程环境，对磁共振图像中的白质、灰质和受多发性硬化症影响的组织进行半自动分割。
{"title":"Segmentation of Brain Magnetic Resonance images using ITK, VTK and MeVisLab","authors":"Duygu Sertel, Yunus Şen Bozdemir, Nalan Özkurt","doi":"10.1109/BIYOMUT.2010.5479855","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2010.5479855","url":null,"abstract":"In this study, the white matter, gray matter and the tissues affected by Multiple Sclerosis are segmented semi-automatically from Magnetic Resonance images using programming environments ITK (Insight Registration and Segmentation Toolkit), VTK (Visualization Toolkit) and MeVisLab (Medical Image Processing and Visualization).","PeriodicalId":180275,"journal":{"name":"2010 15th National Biomedical Engineering Meeting","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123883878","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 : 2010-04-21DOI: 10.1109/BIYOMUT.2010.5479743
Onder Demir, A. Çamurcu
In this study, we developed a computer aided detection system (CAD) to detect lung nodules on computed tomography images. Template matching and similarity measurement methods used for examine whether region of interest which extracted using image pre-processing techniques are nodule candidate. Intensity thresholding, distance thresholding, neighbourhood analysis are preprocessing techniques of the developed CAD system. Pearson's correlation coefficient, simple matching coefficient, Jaccard's coefficient, Euclidean Distance and Sokal & Sneath similarity coeeficient calculated to measure similarity between nodule candidate and the template. Sensitivity of the CAD and number of false positives per slice are given in conclusion.
{"title":"Lung nodule detection using template matching and similarity measurement","authors":"Onder Demir, A. Çamurcu","doi":"10.1109/BIYOMUT.2010.5479743","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2010.5479743","url":null,"abstract":"In this study, we developed a computer aided detection system (CAD) to detect lung nodules on computed tomography images. Template matching and similarity measurement methods used for examine whether region of interest which extracted using image pre-processing techniques are nodule candidate. Intensity thresholding, distance thresholding, neighbourhood analysis are preprocessing techniques of the developed CAD system. Pearson's correlation coefficient, simple matching coefficient, Jaccard's coefficient, Euclidean Distance and Sokal & Sneath similarity coeeficient calculated to measure similarity between nodule candidate and the template. Sensitivity of the CAD and number of false positives per slice are given in conclusion.","PeriodicalId":180275,"journal":{"name":"2010 15th National Biomedical Engineering Meeting","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123953296","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 : 2010-04-21DOI: 10.1109/BIYOMUT.2010.5479731
O. Polat
In this study, a fuzzy logic technique for classification of different biomedical dataset is optimized for improving performance. Threshold acceptance algorithm is used for optimization process. The proposed method is tested on heart data set and simulation results show that the optimized fuzzy logic approach provides higher classification accuracy compare with that of unoptimized fuzzy logic structure.
{"title":"The optimum fuzzy logic approach for biomedical data classification","authors":"O. Polat","doi":"10.1109/BIYOMUT.2010.5479731","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2010.5479731","url":null,"abstract":"In this study, a fuzzy logic technique for classification of different biomedical dataset is optimized for improving performance. Threshold acceptance algorithm is used for optimization process. The proposed method is tested on heart data set and simulation results show that the optimized fuzzy logic approach provides higher classification accuracy compare with that of unoptimized fuzzy logic structure.","PeriodicalId":180275,"journal":{"name":"2010 15th National Biomedical Engineering Meeting","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121315136","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 : 2010-04-21DOI: 10.1109/BIYOMUT.2010.5479853
Seçil Zeybekoǧlu, Mehmed Özkan
In this study, Electrocardiographic(ECG) Arrythmias were classified by using Artificial Neural Networks (ANN). During the training process of ANN, the ECG recordings from MIT BIH Arrythmia database are used as a reference. 24 recordings out of 48 30 minutes recordings in this database were used for data extraction. In order to have more realistic data, the extractons were made from different recordings, and, the typical ECG signals with acceptable amount of noise were included. The arrhythmia samples that are extracted from the database were prepreprocessed to create input sets to train ANNs. The Fourier Transforms of a predefined window of signals were taken as a feature extraction method. As a result of this study, 5 types of ECG signals (Ventricular Tachicardy, Left Bundle Branch Block, Right Bundle Branch Block, Atrial Fibrillation, Normal ECG) were labeled with 82% accuracy.
{"title":"Classification of ECG Arrythmia beats with Artificial Neural Networks","authors":"Seçil Zeybekoǧlu, Mehmed Özkan","doi":"10.1109/BIYOMUT.2010.5479853","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2010.5479853","url":null,"abstract":"In this study, Electrocardiographic(ECG) Arrythmias were classified by using Artificial Neural Networks (ANN). During the training process of ANN, the ECG recordings from MIT BIH Arrythmia database are used as a reference. 24 recordings out of 48 30 minutes recordings in this database were used for data extraction. In order to have more realistic data, the extractons were made from different recordings, and, the typical ECG signals with acceptable amount of noise were included. The arrhythmia samples that are extracted from the database were prepreprocessed to create input sets to train ANNs. The Fourier Transforms of a predefined window of signals were taken as a feature extraction method. As a result of this study, 5 types of ECG signals (Ventricular Tachicardy, Left Bundle Branch Block, Right Bundle Branch Block, Atrial Fibrillation, Normal ECG) were labeled with 82% accuracy.","PeriodicalId":180275,"journal":{"name":"2010 15th National Biomedical Engineering Meeting","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115155945","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 : 2010-04-21DOI: 10.1109/BIYOMUT.2010.5479815
H. F. Carlak, N. G. Gencer, C. Besikci
Tissues have different electrical conductivity and metabolic energy consuming values depending on their state of health and species. Since metabolic heat generation values show differences from tissue to tissue, thermal imaging goes on very important and vital point in breast cancer diagnosis. Temperature differences of healthy and cancerous tissue is changed by the help of low frequency current application in medical safety limits and depth dependent imaging performance can be increased. In this study, a three-dimensional realistic model of breast and cancerous tissue is developed and feasibility work for proposed method is implemented. Temperature distributions are obtained by solving Pennes Bio Heat Equation (with finite element method). Temporal and spatial temperature distribution images are obtained at desired depths for two cases; with and without current stimulation. Imaging performance can be increased with current stimulation and the temperature difference at breast surface due to 40 mm3 tumor at 1.5 cm depth can be sensed with the state-of-the-art thermal infrared imagers.
{"title":"Simulations of electrically stimulated thermal imaging using a 3D breast model","authors":"H. F. Carlak, N. G. Gencer, C. Besikci","doi":"10.1109/BIYOMUT.2010.5479815","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2010.5479815","url":null,"abstract":"Tissues have different electrical conductivity and metabolic energy consuming values depending on their state of health and species. Since metabolic heat generation values show differences from tissue to tissue, thermal imaging goes on very important and vital point in breast cancer diagnosis. Temperature differences of healthy and cancerous tissue is changed by the help of low frequency current application in medical safety limits and depth dependent imaging performance can be increased. In this study, a three-dimensional realistic model of breast and cancerous tissue is developed and feasibility work for proposed method is implemented. Temperature distributions are obtained by solving Pennes Bio Heat Equation (with finite element method). Temporal and spatial temperature distribution images are obtained at desired depths for two cases; with and without current stimulation. Imaging performance can be increased with current stimulation and the temperature difference at breast surface due to 40 mm3 tumor at 1.5 cm depth can be sensed with the state-of-the-art thermal infrared imagers.","PeriodicalId":180275,"journal":{"name":"2010 15th National Biomedical Engineering Meeting","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115816571","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 : 2010-04-21DOI: 10.1109/BIYOMUT.2010.5479746
M. Bilgili, B. Şahin, E. Şimşek, A. Yaşar
In this study, the effects of seasonal weather differences in Antalya city on the bio-heat losses from the human body have been investigated. For application, the monthly atmospheric temperature, relative humidity, wind speed and atmospheric pressure data, which are observed in 2006, have been used. The sensible and latent heat losses from the human body in terms of skin surface and respiration have been calculated and compared to each other. According to the obtained results, the latent and sensible heat losses from the human body have been varied considerably from season to season. Approximately ninety percent of bio-heat transferred from the human body to the surrounding is caused by the skin and the rest of 10% by respiration.
{"title":"The effects of seasonal weather differences on the bio-heat loss transferred from the human body in Antalya city","authors":"M. Bilgili, B. Şahin, E. Şimşek, A. Yaşar","doi":"10.1109/BIYOMUT.2010.5479746","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2010.5479746","url":null,"abstract":"In this study, the effects of seasonal weather differences in Antalya city on the bio-heat losses from the human body have been investigated. For application, the monthly atmospheric temperature, relative humidity, wind speed and atmospheric pressure data, which are observed in 2006, have been used. The sensible and latent heat losses from the human body in terms of skin surface and respiration have been calculated and compared to each other. According to the obtained results, the latent and sensible heat losses from the human body have been varied considerably from season to season. Approximately ninety percent of bio-heat transferred from the human body to the surrounding is caused by the skin and the rest of 10% by respiration.","PeriodicalId":180275,"journal":{"name":"2010 15th National Biomedical Engineering Meeting","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126211875","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 : 2010-04-21DOI: 10.1109/BIYOMUT.2010.5479768
R. U. Tok, Tamer Olmez, A. Akın
The non-invasive measurement of cerebral oxy-haemoglobin(HbObr2) and deoxy-haemoglobin (HHbbr) changes using near-infrared spectroscopy instruments is often affected by the absorption in the extracerebral layer. The changes in the extra cerebral and cerebral hemodynamics arise from different physiological facts. Therefore the changes corresponding to these hemodynamics with respect to time occur at different speeds. Based on that fact if a suitable filtering is applied it was shown that hemodynamics corresponding to brain can be obtained more accurately.
{"title":"Elimination of disruptive effect of extracerebral biological tissues in near infrared spectroscopy","authors":"R. U. Tok, Tamer Olmez, A. Akın","doi":"10.1109/BIYOMUT.2010.5479768","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2010.5479768","url":null,"abstract":"The non-invasive measurement of cerebral oxy-haemoglobin(HbObr2) and deoxy-haemoglobin (HHbbr) changes using near-infrared spectroscopy instruments is often affected by the absorption in the extracerebral layer. The changes in the extra cerebral and cerebral hemodynamics arise from different physiological facts. Therefore the changes corresponding to these hemodynamics with respect to time occur at different speeds. Based on that fact if a suitable filtering is applied it was shown that hemodynamics corresponding to brain can be obtained more accurately.","PeriodicalId":180275,"journal":{"name":"2010 15th National Biomedical Engineering Meeting","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126685168","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 : 2010-04-21DOI: 10.1109/BIYOMUT.2010.5479767
S. Tok, A. Zengin, A. Nurten, R. Nurten
It's a well known fact that Diphtheria Toxin (DT) causes myocarditis in heart and demyelination in nervous system. DT causes dead via heart attack as a result that DT inhibits protein synthesis in heart muscles by generating mitochondrial damage. Although it's known that DT causes damages in all tissues, the mechanism of it is not clear. In this study, together with some specific antioxidants the effect of DT on contraction responses at neuromuscular junction is investigated. For this reason, at specific times DT and antioxidants are given to Guinea Pigs which are known to be sensitive to DT, phrenic nerve-hemidiaphram preparations are isolated, and direct, indirect and titanic contraction responses are investigated. So, the effect of DT on neuromuscular junction and the role of some antioxidants such as α-tocopherol, β-carotene, resveratrol, catechine, epicatechine whose antioxidants properties is multi directionally known, on this effect is investigated. In conclusion, it's established that DT causes a reduction in contraction responses by acting on neuromuscular junction and the antioxidants have also role on this effect.
{"title":"The effect of Diphtheria Toxin and antioxidants on neuromuscular junction of Guinea Pig","authors":"S. Tok, A. Zengin, A. Nurten, R. Nurten","doi":"10.1109/BIYOMUT.2010.5479767","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2010.5479767","url":null,"abstract":"It's a well known fact that Diphtheria Toxin (DT) causes myocarditis in heart and demyelination in nervous system. DT causes dead via heart attack as a result that DT inhibits protein synthesis in heart muscles by generating mitochondrial damage. Although it's known that DT causes damages in all tissues, the mechanism of it is not clear. In this study, together with some specific antioxidants the effect of DT on contraction responses at neuromuscular junction is investigated. For this reason, at specific times DT and antioxidants are given to Guinea Pigs which are known to be sensitive to DT, phrenic nerve-hemidiaphram preparations are isolated, and direct, indirect and titanic contraction responses are investigated. So, the effect of DT on neuromuscular junction and the role of some antioxidants such as α-tocopherol, β-carotene, resveratrol, catechine, epicatechine whose antioxidants properties is multi directionally known, on this effect is investigated. In conclusion, it's established that DT causes a reduction in contraction responses by acting on neuromuscular junction and the antioxidants have also role on this effect.","PeriodicalId":180275,"journal":{"name":"2010 15th National Biomedical Engineering Meeting","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127261899","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 : 2010-04-21DOI: 10.1109/BIYOMUT.2010.5479771
Umit Aydin, Y. Serinağaoğlu
In this study some of the spatial and spatio-temporal methods for the solution of the inverse problem of electrocardiography (ECG) are compared with each other. Comparisons are also made for the cases with geometric errors, where the location of the heart is shifted for 10mm and the size of the heart is reduced by 5%. The compared methods are the Kalman filter and Bayesian maximum a posteriori estimation (MAP). Two different Bayesian-MAP algorithms are used. While one uses only spatial information the other uses spatio-temporal information. In Kalman filter algorithms the state transition matrix (STM) that contains the spatio-temporal information is calculated with two different scenarios. In the first case the STM is calculated directly from the training set and in the second case the solution of the spatial Bayesian-MAP is employed to calculate STM.
{"title":"Comparison of Kalman filter and Bayesian-MAP approaches in the spatio-temporal solution of the inverse electrocardiography","authors":"Umit Aydin, Y. Serinağaoğlu","doi":"10.1109/BIYOMUT.2010.5479771","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2010.5479771","url":null,"abstract":"In this study some of the spatial and spatio-temporal methods for the solution of the inverse problem of electrocardiography (ECG) are compared with each other. Comparisons are also made for the cases with geometric errors, where the location of the heart is shifted for 10mm and the size of the heart is reduced by 5%. The compared methods are the Kalman filter and Bayesian maximum a posteriori estimation (MAP). Two different Bayesian-MAP algorithms are used. While one uses only spatial information the other uses spatio-temporal information. In Kalman filter algorithms the state transition matrix (STM) that contains the spatio-temporal information is calculated with two different scenarios. In the first case the STM is calculated directly from the training set and in the second case the solution of the spatial Bayesian-MAP is employed to calculate STM.","PeriodicalId":180275,"journal":{"name":"2010 15th National Biomedical Engineering Meeting","volume":"226 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123248779","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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