{"title":"Accelerating dynamic cardiac imaging based on a dual-dictionary learning algorithm","authors":"Changjiu Zhang, Zhaoyang Jin, Haihui Ye, Feng Liu","doi":"10.1109/BMEI.2015.7401473","DOIUrl":"https://doi.org/10.1109/BMEI.2015.7401473","url":null,"abstract":"Traditional CS with dictionary learning (DL) algorithm can be applied in reconstruction for dynamic cardiac imaging (DCI), which is realized by multi-slice two-dimensional format (2D-DLDCI) or directly three-dimensional format (3D-DLDCI). It was reported that dual-dictionary learning algorithm can improve the reconstruction quality for the 3D magnetic resonance imaging (MRI) by introducing prior information and inter-frame correlation. In this study, dual-dictionary learning algorithm was applied in dynamic cardiac imaging (Dual-DLDCI) by exploring the symmetry of the cardiac cycle. High resolution dictionary was trained from the fully acquired previous frames within a period of relaxation, and low resolution dictionary was trained from the under-sampled frames. The patches for traditional 2D dictionary were replaced by the blocks to utilize the spatial correlation among frames. The high resolution dictionary instead of low resolution dictionary was used in the iterative reconstruction to provide prior information. The simulation and experiment results showed that, the Dual-DLDCI algorithm achieves much better reconstruction quality than the other two algorithms.","PeriodicalId":119361,"journal":{"name":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122140883","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}
{"title":"Virtual performance evaluation platform for ARGUS microPET: An economic approach to PET scanner quality assessment","authors":"L. Shen, Cheng-Han Wu, Jyh-Cheng Chen","doi":"10.1109/BMEI.2015.7401522","DOIUrl":"https://doi.org/10.1109/BMEI.2015.7401522","url":null,"abstract":"Purpose: The primary objective of this study was to assess the performance of a preclinical micro PET/CT (ARGUS-SEDECAL) via GATE, Geant4 Application for Tomographic Emission, a virtual platform for tomographic emission simulation. Methods: By using GATE, we were able to accurately reproduce the physics of a PET scanner, including such as the instrument's parameters, and the data collecting system of an Argus system. A dual-ring detector with the same parameters as compared to the ARGUS was set up via GATE. A dual-layer scanner with 18 modules, with lutetium - yttrium orthosilicate (LYSO) front layer and gadolinium orthosilicate (GSO) rear layer crystal, geometry of the simulated scanner all represented that of the ARGUS model. Results: The data collected from GATE was used to evaluate the uniformity of our images, by calculating the percentage standard deviation (%STD). The %STD of images from Argus showed comparable results to our own self designed modules. Conclusions: This study has shown that GATE can serve well as a relatively unbiased and practical method to evaluate performances of PET scanners without the need of having true instrumentation and physical testing, which in turns can be a very cost-effective method to PET design and performance evaluation.","PeriodicalId":119361,"journal":{"name":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116841614","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}
Jingpeng Wang, Jie Huang, Hao Chen, Mi Li, Z. Tian
{"title":"Optimization and parallelization of the isotopic Mass-to-charge ratio and envelope fingerprinting algorithm on SuperVessel Cloud","authors":"Jingpeng Wang, Jie Huang, Hao Chen, Mi Li, Z. Tian","doi":"10.1109/BMEI.2015.7401596","DOIUrl":"https://doi.org/10.1109/BMEI.2015.7401596","url":null,"abstract":"To accommodate the new features of modern protein mass spectra with Nobel-prize-winner electrospray ionization, Zhixin Tian, et al. developed isotopic Mass-to-charge ratio and Envelope Fingerprinting (iMEF) algorithm for in situ interpretation and database search of protein tandem mass spectra. The creation of the customized theoretical database of both proteins and their dissociated fragment ions requires efficient computation of isotopic envelopes. This paper presents an optimized parallel algorithm for rapid computation of isotopic envelopes on IBM SuperVessel Cloud Platform based on OpenPOWER, and mainly adopt pre storage strategy with IBM DB2 and parallelization based on OpenMP and MPI to implement an effective application to calculate isotopic envelopes with high performance. With optimization on pre storage, the program saves lots of time from redundant computing. And by parallelization within and among tasks, we compare the output result of performance and conclude that parallelization among tasks has better performance than the program paralleled within tasks. The speedup can achieve 31 with 90 threads on a single Power8 node. On a cluster of three nodes with MPI and OpenMP combined, the speed up can reach 86.4. The experimental results show that parallel algorithm with multiple optimization strategies provide an effective method of high performance to compute isotopic envelopes.","PeriodicalId":119361,"journal":{"name":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123138230","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}
{"title":"Utility-based emergency service and power control scheme in multi-hop WIFI/LTE heterogeneous networks","authors":"Yu Chen, Lin Zheng, Xiaoji Li","doi":"10.1109/BMEI.2015.7401612","DOIUrl":"https://doi.org/10.1109/BMEI.2015.7401612","url":null,"abstract":"In recent years, integration and heterogeneous of network have become the two major characteristics of the future evolution about wireless communication. In this paper, multi-hop WIFI/LTE networks and dual-mode single communication mobile terminals, i.e. integral association, are considered in flat converged network. With the constraint of Quality of Service (QoS) for emergency service and load balance, a distributed optimization algorithms is constructed by jointing power control, vertical handoff and routing. More specifically, the framework model of network is represented by a generalized network utility maximization (NUM) problem. Furthermore, achieving utility maximization is proved to be NP-hard. Then, a generic framework is given to simplify the problem to arrive a distributed optimization algorithm. Simulation results show that the distributed algorithm can approach the optimal solution. Compared with greedy algorithm, the proposed one is able to improve the network utility on the basis of ensuring load balancing as much as possible.","PeriodicalId":119361,"journal":{"name":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123338530","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}
{"title":"The heart sound de-noising method based on the wavelet packet and local noise estimation","authors":"X. Cai, Zufu Yang, Shoulin Li","doi":"10.1109/BMEI.2015.7401543","DOIUrl":"https://doi.org/10.1109/BMEI.2015.7401543","url":null,"abstract":"Heart sound is a kind of typical non-stationary weak signal. Heart sounds from clinical settings are unavoidably contaminated by some noise. The noise in heart sounds includes colored noise and white noise. A de-noising method is presented in this paper, which is based on a harmonic wavelet packet and adopts the methods of finding an optimal decomposing under the minimum entropy principle, selecting reasonable decomposing depths and estimating the local noise as de-noising thresholds. The experiment results show that the method is effective.","PeriodicalId":119361,"journal":{"name":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123516762","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}
Cuihua Tian, Xuhui Chen, D. Guo, Jinhua Sun, Ling Liu, Jiangshui Hong
{"title":"Analysis and design of security in Internet of things","authors":"Cuihua Tian, Xuhui Chen, D. Guo, Jinhua Sun, Ling Liu, Jiangshui Hong","doi":"10.1109/BMEI.2015.7401589","DOIUrl":"https://doi.org/10.1109/BMEI.2015.7401589","url":null,"abstract":"With the extensive applications of the Internet of things in many fields, Internet of things confronted various problems of privacy protection. As a heterogeneous converged network, Internet of things is particular. This study looks into the basic knowledge and privacy protection technology of Internet of things. The protection schemes mentioned above in the medical health care scene environment have been applied. The framework of the smart home system is proposed, and it implements the security privacy protection platform based on the design and realization of hardware and software, aimed at the security consideration.","PeriodicalId":119361,"journal":{"name":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","volume":"399 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115313658","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}
J. Xia, Jianhua Yin, Jin-quan Zhao, L. Fan, Xingxin Guo
{"title":"Sensitivity analysis for timedomain response of nonuniform coupled transmission lines with nonlinear loads","authors":"J. Xia, Jianhua Yin, Jin-quan Zhao, L. Fan, Xingxin Guo","doi":"10.1109/BMEI.2015.7401624","DOIUrl":"https://doi.org/10.1109/BMEI.2015.7401624","url":null,"abstract":"Since the sensitivity of non-uniform coupled transmission lines is hard to analyse, a precise integrated way in time domain is put forward in this paper. The coupled transmission lines equation of telegrapher in time domain is discretized as well as differenced in spatial domain by the means. Non-uniform couple transmission lines sensitivity's first order is established. Thus the analysis of timedomain response' sensitivity becomes to solve the differential first-order equation. The paper's approach could be used in all kinds of non-uniform and uniform transmission loads and lines. Computed results indicate that the proposed method is reliability and validity.","PeriodicalId":119361,"journal":{"name":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115399918","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}
{"title":"The tracking and reconstructing for sharp spikes of biomedical signals: An exploration for applications of tracking-differentiators","authors":"Wei Wang","doi":"10.1109/BMEI.2015.7401509","DOIUrl":"https://doi.org/10.1109/BMEI.2015.7401509","url":null,"abstract":"Biomedical signal processing is important for biologists and physicians. Because of the speciality and complexity of biomedical signals, they bring about many substantial troubles for the mathematical methods to deal with. In this paper, we discuss the tracking and reconstructing of sharp spikes of biomedical signals by exploring the new possibility for the applications of tracking-differentiators (TDs), which have been used successfully in many of industrial fields. Firstly, for tracking the observations with the spiking components, we try to find the proper parameters of tracking-differentiators, and to obtain the estimation of the generalized derivatives. Secondly, for the effective reconstruction of the signals with sharp spikes, we employ the Taylor's formula with generalized derivatives. Finally, simulation results on the tracking and reconstruction for the electrocardiogram (ECG) of a pregnant woman have been provided which indicate not only the possibility of applying TDs in the new area but also the effectiveness of the method.","PeriodicalId":119361,"journal":{"name":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125091132","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}
Kuo Yang, Xuezhong Zhou, Runshun Zhang, Baoyan Liu, Lei Lei, Xiaoping Zhang, Hongwei Chu, Changkai Sun, Zhuye Gao, Hao Xu
{"title":"Integrating herb effect similarity for network-based herb target prediction","authors":"Kuo Yang, Xuezhong Zhou, Runshun Zhang, Baoyan Liu, Lei Lei, Xiaoping Zhang, Hongwei Chu, Changkai Sun, Zhuye Gao, Hao Xu","doi":"10.1109/BMEI.2015.7401553","DOIUrl":"https://doi.org/10.1109/BMEI.2015.7401553","url":null,"abstract":"Network pharmacology has become the new approach for drug mechanism research and novel drug design. Drug target prediction based on computational approach became one of the primary approaches. However, due to the diversity and complexity of herbal chemical structures, the performance of herb target prediction based on chemical structure similarity is limited by the quality and the data availability of herb chemical ingredients and their structural properties. To gain insights into the molecular mechanism of herbs by using clinical herb efficacies, we develop a computational approach to predict the potential targets of herbs by integrating the herb effect properties. We found that herbs with high effect similarities have high degree of shared targets. Meanwhile, an algorithm integrating propagation on protein-protein interaction network and effect-based herb similarity was proposed and obtained better accuracy than the chemical structure similarity. Furthermore, we manually evaluated some novel predictions like the target SP1 for herb turmeric, which is not recorded in the benchmark set, but has been confirmed by recent published paper.","PeriodicalId":119361,"journal":{"name":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128665121","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}
Weilin Wu, H. Gong, Mingyu Liu, Guannan Chen, Rong Chen
{"title":"Noninvasive breast tumors detection based on saliva protein surface enhanced Raman spectroscopy and regularized multinomial regression","authors":"Weilin Wu, H. Gong, Mingyu Liu, Guannan Chen, Rong Chen","doi":"10.1109/BMEI.2015.7401503","DOIUrl":"https://doi.org/10.1109/BMEI.2015.7401503","url":null,"abstract":"This study aims to present a noninvasive breast tumors detection method using saliva protein surface enhanced Raman spectroscopy (SERS) and regularized multinomial regression (RMR) techniques through human saliva sample. Saliva proteins SERS spectra are acquired from 33 healthy subjects, 33 patients with benign breast tumors, and 31 patients with malignant breast tumors. RMR is employed for classifying measured SERS spectra. The study results showed that for RMR diagnostic model, the diagnostic accuracy of 92.78% (85/97), 95.87% (93/97), and 88.66% (86/97) are acquired, while discriminating among the normal group, the benign breast tumor group, and the malignant breast tumor group. This study indicated that saliva protein SERS technology combined with RMR algorithm has great potentiality in noninvasive breast tumors detection.","PeriodicalId":119361,"journal":{"name":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129012296","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}