Pub Date : 2009-10-30DOI: 10.1109/BMEI.2009.5302430
Hua Liu
In this paper, the effect of intra-specific competition of host in a host-parasitoid model is investigated qualitatively by computer simulation. Many forms of complex dynamic are observed, including quasi-periodic, Hopf bifurcation reversal, and attractors crises. Furthermore, we obtain that the density- dependent effect may be a stabilizing factor. When hosts intra- specific competition stronger, the parameter region for persistent and stable interaction increases. I. INTRODUCTION The size of a natural population varies constantly and the variations may be small or large; sometimes regular, but in most cases irregular (1)-(4), so the dynamics of natural populations are very complicated (5), (6). The research area dealing with the complexities in the population dynamic models is the central issue in population ecology. In particular, the pioneering work in this field was initiated by May (7), (8). Now, the theory of single-population dynamics is quite well understood compared with the dynamics of interacting populations. Scientists have focused on studying interspecific interaction of natural populations whose generations are non- overlapping that can be modeled by difference equations. Difference equations describe how the population evolves in discrete time-step and can produce a much richer set of dynamic patterns than those observed in continuous-time models (9). Scientists have established many mathematical models to explain the dynamic behaviors of these interactions. It is not easy to analyze its global stability by qualitative method since the intrinsic nonlinearity, so people often study the dynamic complexity of host-parasitoid model by computer simulation. For different parameters and initial conditions, we can iterate the difference equations for thousands time steps and analyze the time series of population size to elucidate the regularity and mechanisms that hidden behind the population dynamics. Recently, many authors have adopted computer simulation to investigate the complexities of discrete-time host-parasitoid models. Kaitala and Heino (10) reported the dynamic com- plexity of host-parasitoid interaction with immunized and non- immunized host. Kaitala Ylikarjula and Heino (11), Tang and Chen (12) showed that many forms of complex dynam- ics were observed in host-parasitoid interaction model with Holling-type functional response. Xu and Boyce (13) also demonstrated the dynamic complexity of a mutual interference host-parasitoid model. All these research relied on a Logistic growth function to analyze the dyanmics of the host-parasitoid interaction and obtained some intriguing results. However, all these research are not to account for the discrepancy between dynamics predicted from these mathematical models is usually very intrigued and the dynamic behavior of real data is much simpler. Since this obvious discrepancy, many ecologists refused to accept the predictions from the deterministic mathematical models and prefer to accep
{"title":"Intra-Specific Density Dependent Effect of a Host-Parasitoid Interaction Model","authors":"Hua Liu","doi":"10.1109/BMEI.2009.5302430","DOIUrl":"https://doi.org/10.1109/BMEI.2009.5302430","url":null,"abstract":"In this paper, the effect of intra-specific competition of host in a host-parasitoid model is investigated qualitatively by computer simulation. Many forms of complex dynamic are observed, including quasi-periodic, Hopf bifurcation reversal, and attractors crises. Furthermore, we obtain that the density- dependent effect may be a stabilizing factor. When hosts intra- specific competition stronger, the parameter region for persistent and stable interaction increases. I. INTRODUCTION The size of a natural population varies constantly and the variations may be small or large; sometimes regular, but in most cases irregular (1)-(4), so the dynamics of natural populations are very complicated (5), (6). The research area dealing with the complexities in the population dynamic models is the central issue in population ecology. In particular, the pioneering work in this field was initiated by May (7), (8). Now, the theory of single-population dynamics is quite well understood compared with the dynamics of interacting populations. Scientists have focused on studying interspecific interaction of natural populations whose generations are non- overlapping that can be modeled by difference equations. Difference equations describe how the population evolves in discrete time-step and can produce a much richer set of dynamic patterns than those observed in continuous-time models (9). Scientists have established many mathematical models to explain the dynamic behaviors of these interactions. It is not easy to analyze its global stability by qualitative method since the intrinsic nonlinearity, so people often study the dynamic complexity of host-parasitoid model by computer simulation. For different parameters and initial conditions, we can iterate the difference equations for thousands time steps and analyze the time series of population size to elucidate the regularity and mechanisms that hidden behind the population dynamics. Recently, many authors have adopted computer simulation to investigate the complexities of discrete-time host-parasitoid models. Kaitala and Heino (10) reported the dynamic com- plexity of host-parasitoid interaction with immunized and non- immunized host. Kaitala Ylikarjula and Heino (11), Tang and Chen (12) showed that many forms of complex dynam- ics were observed in host-parasitoid interaction model with Holling-type functional response. Xu and Boyce (13) also demonstrated the dynamic complexity of a mutual interference host-parasitoid model. All these research relied on a Logistic growth function to analyze the dyanmics of the host-parasitoid interaction and obtained some intriguing results. However, all these research are not to account for the discrepancy between dynamics predicted from these mathematical models is usually very intrigued and the dynamic behavior of real data is much simpler. Since this obvious discrepancy, many ecologists refused to accept the predictions from the deterministic mathematical models and prefer to accep","PeriodicalId":6389,"journal":{"name":"2009 2nd International Conference on Biomedical Engineering and Informatics","volume":"88 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85319796","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 : 2009-10-30DOI: 10.1109/BMEI.2009.5305586
Zhongbo Wu, Min Wang, Lei Yuan, Hongxi Jiang
Skyline is an important query in many applications such as environment monitoring and industrial controlling. Lots of achievements of skyline query have been made in traditional database. But they can not be used directly to wireless sensor network. In this paper we study continuous skyline query in wireless sensor network and put forward an energy efficient algorithm named ORSSQ. ORSSQ sets up filters in sensor nodes based on optimized routing structure. Filters can prune the sample data that can not be the final skyline result to save energy and prolong network life. Experiments show that ORSSQ has good performance.
{"title":"Optimized Routing Structure Based Skyline Query Algorithm in Wireless Sensor Network","authors":"Zhongbo Wu, Min Wang, Lei Yuan, Hongxi Jiang","doi":"10.1109/BMEI.2009.5305586","DOIUrl":"https://doi.org/10.1109/BMEI.2009.5305586","url":null,"abstract":"Skyline is an important query in many applications such as environment monitoring and industrial controlling. Lots of achievements of skyline query have been made in traditional database. But they can not be used directly to wireless sensor network. In this paper we study continuous skyline query in wireless sensor network and put forward an energy efficient algorithm named ORSSQ. ORSSQ sets up filters in sensor nodes based on optimized routing structure. Filters can prune the sample data that can not be the final skyline result to save energy and prolong network life. Experiments show that ORSSQ has good performance.","PeriodicalId":6389,"journal":{"name":"2009 2nd International Conference on Biomedical Engineering and Informatics","volume":"87 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90657236","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 : 2009-10-30DOI: 10.1109/BMEI.2009.5305685
Shaojie Lv, Cai Meng, F. Zhou, Bo Liu, Xiaojun Zhou
In traditional methods, the C-Arm system calibration was performed based on the result of C-Arm image correction. When correcting images, high-order polynomial was used to fit relating distorted pixels to ideal image pixel. However accurate ideal image could not be established easily, that heavily restricted the precision of correction. In this paper, a novel method is presented based on visual model which does not depend on ideal image and integrates correction and calibration as one process. In this method, the Tsai's calibration method is used to calculate the internal and external parameters of C-Arm system with markers in the center region of the image. Then, nonlinear optimization is applied to get more precise C-Arm imaging model with all markers. Finally, the distortion image is corrected using the distortion parameters of internal parameters. To verify this method, known distances between points are reconstructed and the experimental results show that the maximum error is less than 1mm.
{"title":"Visual Model Based C-Arm System Calibration and Image Correction","authors":"Shaojie Lv, Cai Meng, F. Zhou, Bo Liu, Xiaojun Zhou","doi":"10.1109/BMEI.2009.5305685","DOIUrl":"https://doi.org/10.1109/BMEI.2009.5305685","url":null,"abstract":"In traditional methods, the C-Arm system calibration was performed based on the result of C-Arm image correction. When correcting images, high-order polynomial was used to fit relating distorted pixels to ideal image pixel. However accurate ideal image could not be established easily, that heavily restricted the precision of correction. In this paper, a novel method is presented based on visual model which does not depend on ideal image and integrates correction and calibration as one process. In this method, the Tsai's calibration method is used to calculate the internal and external parameters of C-Arm system with markers in the center region of the image. Then, nonlinear optimization is applied to get more precise C-Arm imaging model with all markers. Finally, the distortion image is corrected using the distortion parameters of internal parameters. To verify this method, known distances between points are reconstructed and the experimental results show that the maximum error is less than 1mm.","PeriodicalId":6389,"journal":{"name":"2009 2nd International Conference on Biomedical Engineering and Informatics","volume":"39 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91244678","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 : 2009-10-30DOI: 10.1109/BMEI.2009.5305760
Xiaojun Wang, Weiyi Chen, Chunsheng Liu, Yanjun Li, Lei Ma
In order to study the effects of aging on biomechanics properties, twenty rabbits with healthy eyes were divided into four groups including infancy (3 months), youth (5 months), midlife (18 months) and agedness (48 months). After measuring the central corneal thickness (CCT) and the intraocular pressure (IOP), the alteration of eye volume with intraocular pressure was determined of four different age groups. Then sclera strips were prepared for biomechanical properties measurement through uniaxial tension using an Instron 5544 test machine. Our results showed: The CCT of the infancy was lower than the agedness (p 0.05) in four groups for the creep rate of sclera in 30 minutes.
{"title":"Effects of Aging on Biomechanics Properties in Rabbit Eyes","authors":"Xiaojun Wang, Weiyi Chen, Chunsheng Liu, Yanjun Li, Lei Ma","doi":"10.1109/BMEI.2009.5305760","DOIUrl":"https://doi.org/10.1109/BMEI.2009.5305760","url":null,"abstract":"In order to study the effects of aging on biomechanics properties, twenty rabbits with healthy eyes were divided into four groups including infancy (3 months), youth (5 months), midlife (18 months) and agedness (48 months). After measuring the central corneal thickness (CCT) and the intraocular pressure (IOP), the alteration of eye volume with intraocular pressure was determined of four different age groups. Then sclera strips were prepared for biomechanical properties measurement through uniaxial tension using an Instron 5544 test machine. Our results showed: The CCT of the infancy was lower than the agedness (p 0.05) in four groups for the creep rate of sclera in 30 minutes.","PeriodicalId":6389,"journal":{"name":"2009 2nd International Conference on Biomedical Engineering and Informatics","volume":"57 3 1","pages":"1-3"},"PeriodicalIF":0.0,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90936081","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 : 2009-10-30DOI: 10.1109/BMEI.2009.5305027
Dong-Hyun Park, Young-Ho Park, Kyung-Sook Kim, Gi-Ja Lee, Hun-Kuk Park
The purpose of this study was to develop the radiographic technique for detecting the demineralization which is known as indication of dental caries. This technique was based on the comparing of multiple radiographs which was irradiated by multiple X-ray spectra. For the meaningful comparison, the multiple radiographs were reconstructed to the dosimetrically consistent images using a standard material. The difference of resulting images of same target with multiple spectra represents the difference of response of material as regards the spectra. Consequently, we have found about 10% of demineralization of dental hard tissues particularly in the proximal region through the analyzing of differences. Most intriguing thing in this investigation was that the method to analyze difference shows us to an anatomic structure of dental hard tissues even if absolute values of optical density were excluded during the procedures.
{"title":"Multiple X-Ray Beam Radiography for Detecting Dental Demineralization","authors":"Dong-Hyun Park, Young-Ho Park, Kyung-Sook Kim, Gi-Ja Lee, Hun-Kuk Park","doi":"10.1109/BMEI.2009.5305027","DOIUrl":"https://doi.org/10.1109/BMEI.2009.5305027","url":null,"abstract":"The purpose of this study was to develop the radiographic technique for detecting the demineralization which is known as indication of dental caries. This technique was based on the comparing of multiple radiographs which was irradiated by multiple X-ray spectra. For the meaningful comparison, the multiple radiographs were reconstructed to the dosimetrically consistent images using a standard material. The difference of resulting images of same target with multiple spectra represents the difference of response of material as regards the spectra. Consequently, we have found about 10% of demineralization of dental hard tissues particularly in the proximal region through the analyzing of differences. Most intriguing thing in this investigation was that the method to analyze difference shows us to an anatomic structure of dental hard tissues even if absolute values of optical density were excluded during the procedures.","PeriodicalId":6389,"journal":{"name":"2009 2nd International Conference on Biomedical Engineering and Informatics","volume":"1 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89586482","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}
Syndrome is a unique TCM concept, which is an abstractive collection of symptoms and signs. Several modern algorithms have been applied to classify syndromes, but no satisfied results have been obtained because of the complexity of diagnosis procedure. Support vector machine (SVM) has been found to be very efficient to solve the classification problems, especially for binary classification with good generalization properties. In this paper, firstly patients’ clinic data of heart disease were preprocessed, then chose the optimal kernel function and used the cross-validation method to find the best parameters for SVM model, finally, the accuracy of testing different syndromes in accordance with pathology of heart disease was obtained. The results indicated that SVM was the best identifier with 81.08% accuracy on samples than the stepwise regression with 77.30% and the neural network with 73.72%. In addition, by comparing with four different kernel functions of SVM, radial basis function (RBF) was the best identifier than the others. Keywords-Syndrome; Traditional Chinese Medicine; Support Vector Machine
{"title":"Classification Research on Syndromes of TCM Based on SVM","authors":"Chunming Xia, Feng Deng, Yiqin Wang, Zhaoxia Xu, Guoping Liu, Jin Xu, Helge Gewiss","doi":"10.1109/BMEI.2009.5305418","DOIUrl":"https://doi.org/10.1109/BMEI.2009.5305418","url":null,"abstract":"Syndrome is a unique TCM concept, which is an abstractive collection of symptoms and signs. Several modern algorithms have been applied to classify syndromes, but no satisfied results have been obtained because of the complexity of diagnosis procedure. Support vector machine (SVM) has been found to be very efficient to solve the classification problems, especially for binary classification with good generalization properties. In this paper, firstly patients’ clinic data of heart disease were preprocessed, then chose the optimal kernel function and used the cross-validation method to find the best parameters for SVM model, finally, the accuracy of testing different syndromes in accordance with pathology of heart disease was obtained. The results indicated that SVM was the best identifier with 81.08% accuracy on samples than the stepwise regression with 77.30% and the neural network with 73.72%. In addition, by comparing with four different kernel functions of SVM, radial basis function (RBF) was the best identifier than the others. Keywords-Syndrome; Traditional Chinese Medicine; Support Vector Machine","PeriodicalId":6389,"journal":{"name":"2009 2nd International Conference on Biomedical Engineering and Informatics","volume":"18 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78041882","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 : 2009-10-30DOI: 10.1109/BMEI.2009.5301655
Hua Lin, Weiying Zheng, Dongguo Li, Jinwang Zhang, Lin Hui, Yan Yan, Jian Zhang, Liu Hong
In this paper, a method combining pathway analysis with random forests was provided. After the important pathways were discovered by computing the classification error rates of out-of-bag (OOB), the feature genes were also discovered according to these important pathways. The important pathways were recombined as the new gene sets and the classification error rates were recomputed by random forests algorithms. According to the rank and the frequency of feature genes, the important feature genes associated with disease were discovered. At each important pathway, the relativity of gene expression was also studied. The results showed that our method was available because the expressions of genes at the same pathway were approximate. Those genes selected by SAM software directly were not feature genes but noises. We also compared random forests with other machine learning methods and found that random forests classification error rates were the lowest. This method can provide biological insight into the study of microarray data. Keywordsrandom forest, KEGG, pathway analysis, Microarray
{"title":"Combine Pathway Analysis with Random Forests to Hunting for Feature Genes","authors":"Hua Lin, Weiying Zheng, Dongguo Li, Jinwang Zhang, Lin Hui, Yan Yan, Jian Zhang, Liu Hong","doi":"10.1109/BMEI.2009.5301655","DOIUrl":"https://doi.org/10.1109/BMEI.2009.5301655","url":null,"abstract":"In this paper, a method combining pathway analysis with random forests was provided. After the important pathways were discovered by computing the classification error rates of out-of-bag (OOB), the feature genes were also discovered according to these important pathways. The important pathways were recombined as the new gene sets and the classification error rates were recomputed by random forests algorithms. According to the rank and the frequency of feature genes, the important feature genes associated with disease were discovered. At each important pathway, the relativity of gene expression was also studied. The results showed that our method was available because the expressions of genes at the same pathway were approximate. Those genes selected by SAM software directly were not feature genes but noises. We also compared random forests with other machine learning methods and found that random forests classification error rates were the lowest. This method can provide biological insight into the study of microarray data. Keywordsrandom forest, KEGG, pathway analysis, Microarray","PeriodicalId":6389,"journal":{"name":"2009 2nd International Conference on Biomedical Engineering and Informatics","volume":"28 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78058403","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 : 2009-10-30DOI: 10.1109/BMEI.2009.5305366
Chunxiao Han, Jiang Wang, Wenye Guan, Bin Deng, Feng Dong
We study the nonlinear response of the Hodgkin- Huxley model without external periodic signal to Gaussian white noise (GWN) and Ornstein-Uhlenbeck noise (OUN) as synaptic current respectively near the saddle-node bifurcation of limit cycles. The coherence of the system, estimated from the Coefficient of Variation of interspike interval of membrane potentials and spike trains, is minimal at certain noise intensity, so that the coherence resonance occurs. When GWN is served as synaptic input, coherence resonance occurs when noise intensity is greater than a certain threshold; when OUN is served as synaptic input, coherence resonance only occurs only with a moderate diffusion coefficient: too large diffusion coefficient will not generate coherence resonance. These findings further our understanding of how neurons respond to different types of noises.
{"title":"Coefficient of Variation Based Analysis of Coherence Resonance in Hodgkin-Huxley Neuron Model","authors":"Chunxiao Han, Jiang Wang, Wenye Guan, Bin Deng, Feng Dong","doi":"10.1109/BMEI.2009.5305366","DOIUrl":"https://doi.org/10.1109/BMEI.2009.5305366","url":null,"abstract":"We study the nonlinear response of the Hodgkin- Huxley model without external periodic signal to Gaussian white noise (GWN) and Ornstein-Uhlenbeck noise (OUN) as synaptic current respectively near the saddle-node bifurcation of limit cycles. The coherence of the system, estimated from the Coefficient of Variation of interspike interval of membrane potentials and spike trains, is minimal at certain noise intensity, so that the coherence resonance occurs. When GWN is served as synaptic input, coherence resonance occurs when noise intensity is greater than a certain threshold; when OUN is served as synaptic input, coherence resonance only occurs only with a moderate diffusion coefficient: too large diffusion coefficient will not generate coherence resonance. These findings further our understanding of how neurons respond to different types of noises.","PeriodicalId":6389,"journal":{"name":"2009 2nd International Conference on Biomedical Engineering and Informatics","volume":"8 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78357143","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 : 2009-10-30DOI: 10.1109/BMEI.2009.5305784
Hao Wu, Yijian Pei
The studies of citations are comprehensively carried out with the increasing electronically citation data on the Web. Most of the metrics observe scientific quality in a global view instead of in multiple fine-grained views. In this paper, we suggest to apply Topic Model and adaptive PageRank algorithm to assess the relative importance of scientific objects including articles, authors, conferences and journals. The scientific quality is measured by an aggregation PageRank metric towards some topics. This metric considers the impact of a paper both in global view and local view. The experiments on ACL Anthology bibliographic corpus show our method is a useful measure to observe scientific quality on multi-views. KeywordsPageRank; Topic Model; Citation Analysis
{"title":"Scientific Quality Towards Specific Topics","authors":"Hao Wu, Yijian Pei","doi":"10.1109/BMEI.2009.5305784","DOIUrl":"https://doi.org/10.1109/BMEI.2009.5305784","url":null,"abstract":"The studies of citations are comprehensively carried out with the increasing electronically citation data on the Web. Most of the metrics observe scientific quality in a global view instead of in multiple fine-grained views. In this paper, we suggest to apply Topic Model and adaptive PageRank algorithm to assess the relative importance of scientific objects including articles, authors, conferences and journals. The scientific quality is measured by an aggregation PageRank metric towards some topics. This metric considers the impact of a paper both in global view and local view. The experiments on ACL Anthology bibliographic corpus show our method is a useful measure to observe scientific quality on multi-views. KeywordsPageRank; Topic Model; Citation Analysis","PeriodicalId":6389,"journal":{"name":"2009 2nd International Conference on Biomedical Engineering and Informatics","volume":"94 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78577289","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 : 2009-10-30DOI: 10.1109/BMEI.2009.5305690
Sun Zheng
A method to reconstruct vessels from intravascular ultrasound (IVUS) image sequence and X-ray angiograms is proposed in this paper. The pullback path of IVUS catheter is tracked and reconstructed from angiographic image pair acquired during IVUS intervention. Cross-sectional borders of the vessel wall are detected from IVUS frames in a semi- automatic manner. After axial locations of IVUS frames are determined along the 3D pullback path of IVUS catheter, their spatial orientations are determined based on a Frenet-Serret frame model and global optimization. Finally, the vessel is accurately reconstructed with solid modeling technique. Experimental results with clinical data demonstrate the validity.
{"title":"Three-Dimensional Reconstruction of Vessels from Intravascular Ultrasound Sequence and X-Ray Angiograms","authors":"Sun Zheng","doi":"10.1109/BMEI.2009.5305690","DOIUrl":"https://doi.org/10.1109/BMEI.2009.5305690","url":null,"abstract":"A method to reconstruct vessels from intravascular ultrasound (IVUS) image sequence and X-ray angiograms is proposed in this paper. The pullback path of IVUS catheter is tracked and reconstructed from angiographic image pair acquired during IVUS intervention. Cross-sectional borders of the vessel wall are detected from IVUS frames in a semi- automatic manner. After axial locations of IVUS frames are determined along the 3D pullback path of IVUS catheter, their spatial orientations are determined based on a Frenet-Serret frame model and global optimization. Finally, the vessel is accurately reconstructed with solid modeling technique. Experimental results with clinical data demonstrate the validity.","PeriodicalId":6389,"journal":{"name":"2009 2nd International Conference on Biomedical Engineering and Informatics","volume":"26 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78319098","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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