This paper proposes a novel combined method to improve micro-calcification clusters (MCs) detection accuracy in mammograms. The presented method includes three main steps: firstly, exponentiation operation and a new improved successive mean quantization transform (SMQT) algorithm are employed to enhance MCs; secondly, wavelet transform is introduced to obtain the significant MCs information; thirdly, pulse-coupled neural network (PCNN) model is used to detect MCs. In the experiment, totally 73 mammograms from MIAS database and 41 mammograms from JSMIT database are chosen to test the algorithm, and experimental results demonstrate that the algorithm presented in this paper is better than the other algorithms by yielding higher specificity of 98.0%, accuracy of 97.26%, and sensitivity of 95.65%. Besides, the method is verified on 20 mammograms from the People's Hospital of Gansu Province, and the detection results indicate that our algorithm can detect MCs correctly. Above all, the proposed method is simple and effective, and it can be considered to assist the radiologist for breast cancer diagnosis.
{"title":"Improved SMQT Algorithm and PCNN Model for Micro-calcification Clusters Detection in Mammograms","authors":"Lili Zhu, Yonggang Guo, Jianhui Tu, Yide Ma, Yanan Guo, Zhen Yang, Deyuan Wang","doi":"10.1109/ICBCB.2019.8854644","DOIUrl":"https://doi.org/10.1109/ICBCB.2019.8854644","url":null,"abstract":"This paper proposes a novel combined method to improve micro-calcification clusters (MCs) detection accuracy in mammograms. The presented method includes three main steps: firstly, exponentiation operation and a new improved successive mean quantization transform (SMQT) algorithm are employed to enhance MCs; secondly, wavelet transform is introduced to obtain the significant MCs information; thirdly, pulse-coupled neural network (PCNN) model is used to detect MCs. In the experiment, totally 73 mammograms from MIAS database and 41 mammograms from JSMIT database are chosen to test the algorithm, and experimental results demonstrate that the algorithm presented in this paper is better than the other algorithms by yielding higher specificity of 98.0%, accuracy of 97.26%, and sensitivity of 95.65%. Besides, the method is verified on 20 mammograms from the People's Hospital of Gansu Province, and the detection results indicate that our algorithm can detect MCs correctly. Above all, the proposed method is simple and effective, and it can be considered to assist the radiologist for breast cancer diagnosis.","PeriodicalId":136995,"journal":{"name":"2019 IEEE 7th International Conference on Bioinformatics and Computational Biology ( ICBCB)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122402001","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 : 2019-03-01DOI: 10.1109/ICBCB.2019.8854669
Ning Zhou, Jiajun Wang, Bing Sun, Renyu Liu, Nan Hu
The auscultation signal collected by the electronic stethoscope may be sometimes accompanied by various interferences, including external speech/acoustic interferences, clipping distortions, frictional noises, etc. The external speech/acoustic interferences can be eliminated by adaptive filtering, with the aid of an extra recording sensor. However, clipping distortions and frictional noises cannot be addressed by this methodology, and how to automatically repair them has not been fully discussed in the literatures, which affects the signal quality and further the cardiopulmonary sound automatic diagnosis. In this paper, the repairing method that automatically addresses clipping distortions and frictional noises for electronic stethoscope is developed. A simple signal difference method is introduced to automatically detect the clipping distortion regions, and these regions are repaired by the Hermite interpolation. The regions that frictional noises exist are detected by employing Mel-frequency cepstral coefficients (MFCCs) and support vector machine (SVM), and they are repaired by involving the empirical mode decomposition (EMD) as well as correlation coefficients. The proposed method can automatically detect, locate and ultimately repair multiple regions of clipping distortions and frictional noises, and applying it in recorded real auscultation data proves its efficiency.
{"title":"The Automatic Repairing Method Addressing Clipping Distortions and Frictional Noises in Electronic Stethoscope","authors":"Ning Zhou, Jiajun Wang, Bing Sun, Renyu Liu, Nan Hu","doi":"10.1109/ICBCB.2019.8854669","DOIUrl":"https://doi.org/10.1109/ICBCB.2019.8854669","url":null,"abstract":"The auscultation signal collected by the electronic stethoscope may be sometimes accompanied by various interferences, including external speech/acoustic interferences, clipping distortions, frictional noises, etc. The external speech/acoustic interferences can be eliminated by adaptive filtering, with the aid of an extra recording sensor. However, clipping distortions and frictional noises cannot be addressed by this methodology, and how to automatically repair them has not been fully discussed in the literatures, which affects the signal quality and further the cardiopulmonary sound automatic diagnosis. In this paper, the repairing method that automatically addresses clipping distortions and frictional noises for electronic stethoscope is developed. A simple signal difference method is introduced to automatically detect the clipping distortion regions, and these regions are repaired by the Hermite interpolation. The regions that frictional noises exist are detected by employing Mel-frequency cepstral coefficients (MFCCs) and support vector machine (SVM), and they are repaired by involving the empirical mode decomposition (EMD) as well as correlation coefficients. The proposed method can automatically detect, locate and ultimately repair multiple regions of clipping distortions and frictional noises, and applying it in recorded real auscultation data proves its efficiency.","PeriodicalId":136995,"journal":{"name":"2019 IEEE 7th International Conference on Bioinformatics and Computational Biology ( ICBCB)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127811833","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 : 2019-03-01DOI: 10.1109/ICBCB.2019.8854638
Yashuo Zhu, Hui Gao, Qiang Yang, Zhonglin Li, Li Tong
Real-time functional magnetic resonance imaging neurofeedback (rtfMRI-NF) is a non-invasive imaging technique which can extract the concurrent brain state and provide neurofeedback to subjects in an online fashion so that subjects can self-regulate their internal brain state accordingly. In this area, most studies give the continuous NF that is obtained upon every fMRI data acquisition. Although the time resolution of NF signal is maximized, the continuous NF may have some drawbacks. Subjects can be dispersed in the condition of emotion regulation because (1) there is an inherent delay between the hemodynamic response which is caused by neuronal activity and associated NF, (2) there is a limit on the cognitive attention available to simultaneously assess NF and keep with the regulation. In this study, we investigated the differences of the capability to up-regulate activity of hippocampus between groups. The three groups were presented with continuous and intermittent NF and a control group receiving sham NF signal using positive autobiographical memories recalling. Compared with the NF groups, there was no remarkable regulating effect in the control group. The performance of hippocampal regulation in the intermittent group was better than it in the continuous neurofeedback group. In general, we not only showed that the NF was a prerequisite to learn self-regulation of hippocampus activity but also showed that intermittent NF was superior to continuous NF presentation. Training with rtfMRI-NF has promising translational value in future therapeutic process of emotionally related mental disorders.
实时功能磁共振成像神经反馈(rtfMRI-NF, Real-time functional magnetic resonance imaging neurofeedback)是一种非侵入性成像技术，它可以在线提取并发的大脑状态，并向被试提供神经反馈，从而使被试能够自我调节大脑内部状态。在这方面，大多数研究给出了每次fMRI数据采集后获得的连续NF。虽然可以最大限度地提高NF信号的时间分辨率，但连续的NF信号也存在一定的缺陷。被试在情绪调节条件下能够分散是因为:(1)神经元活动引起的血流动力学反应与相关的NF之间存在固有的延迟;(2)同时评估NF并与调节保持一致的认知注意是有限的。在本研究中，我们研究了各组海马上调活动能力的差异。三组接受连续和间歇的NF信号，对照组接受假NF信号，使用积极的自传体记忆回忆。与NF组比较，对照组无明显调节作用。间歇神经反馈组海马调节功能优于连续神经反馈组。总的来说，我们不仅表明NF是学习海马活动自我调节的先决条件，而且还表明间歇性NF优于连续NF呈现。rtfMRI-NF训练在未来情绪相关精神障碍的治疗过程中具有很好的转化价值。
{"title":"The Effects of Self-Regulation in Hippocampus Activation Using Different Types of Real-Time Neurofeedback","authors":"Yashuo Zhu, Hui Gao, Qiang Yang, Zhonglin Li, Li Tong","doi":"10.1109/ICBCB.2019.8854638","DOIUrl":"https://doi.org/10.1109/ICBCB.2019.8854638","url":null,"abstract":"Real-time functional magnetic resonance imaging neurofeedback (rtfMRI-NF) is a non-invasive imaging technique which can extract the concurrent brain state and provide neurofeedback to subjects in an online fashion so that subjects can self-regulate their internal brain state accordingly. In this area, most studies give the continuous NF that is obtained upon every fMRI data acquisition. Although the time resolution of NF signal is maximized, the continuous NF may have some drawbacks. Subjects can be dispersed in the condition of emotion regulation because (1) there is an inherent delay between the hemodynamic response which is caused by neuronal activity and associated NF, (2) there is a limit on the cognitive attention available to simultaneously assess NF and keep with the regulation. In this study, we investigated the differences of the capability to up-regulate activity of hippocampus between groups. The three groups were presented with continuous and intermittent NF and a control group receiving sham NF signal using positive autobiographical memories recalling. Compared with the NF groups, there was no remarkable regulating effect in the control group. The performance of hippocampal regulation in the intermittent group was better than it in the continuous neurofeedback group. In general, we not only showed that the NF was a prerequisite to learn self-regulation of hippocampus activity but also showed that intermittent NF was superior to continuous NF presentation. Training with rtfMRI-NF has promising translational value in future therapeutic process of emotionally related mental disorders.","PeriodicalId":136995,"journal":{"name":"2019 IEEE 7th International Conference on Bioinformatics and Computational Biology ( ICBCB)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131626840","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 : 2019-03-01DOI: 10.1109/icbcb.2019.8854650
{"title":"2019 IEEE 7th International Conference on Bioinformatics and Computational Biology","authors":"","doi":"10.1109/icbcb.2019.8854650","DOIUrl":"https://doi.org/10.1109/icbcb.2019.8854650","url":null,"abstract":"","PeriodicalId":136995,"journal":{"name":"2019 IEEE 7th International Conference on Bioinformatics and Computational Biology ( ICBCB)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130943779","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 : 2019-03-01DOI: 10.1109/ICBCB.2019.8854654
Yinhe Sheng, Kang Huang, Jiemeng Zou, Liping Wang, Pengfei Wei
The mental fatigue affects the state of one's daily life easily, therefore, understanding the neural mechanisms of mental fatigue and better detection of it have been the focus of many researchers. Quit a few previous studies have found EEG indicators and high-precision detection methods related to mental fatigue, however, how to combine these EEG indicators with detection methods for better detection remains to be solved. To classify mental fatigue based on EEG features, our previous research, which adopted GA-SVM method, have demonstrated the optimal channels are mainly distributed in the prefrontal, occipital and temporal lobes, and the optimal channel number is 5. Here, we further explored the question by developing a new method combining genetic algorithm and hierarchical clustering to study the mental fatigue caused by visual search. Our results suggest that the optimal EEG features for assessing fatigue state vary from person to person, while the corresponding optimal channel positions are consistent. The channels with the largest changes in EEG features are mainly distributed in the frontal lobe, followed by the temporal lobe and a small area of the occipital lobe, while the corresponding regions of the almost all parietal lobe and part occipital lobe show little changes in EEG features during fatigue. Current study shows that the optimal EEG features of different individuals are different in the mental fatigue detection, and they need to be determined separately, but only a few of the same channels can be used to achieve the better detection.
{"title":"Exploring the Relationship between Neural Mechanism and Detection in Mental Fatigue by Genetic Algorithm and Hierarchical Clustering","authors":"Yinhe Sheng, Kang Huang, Jiemeng Zou, Liping Wang, Pengfei Wei","doi":"10.1109/ICBCB.2019.8854654","DOIUrl":"https://doi.org/10.1109/ICBCB.2019.8854654","url":null,"abstract":"The mental fatigue affects the state of one's daily life easily, therefore, understanding the neural mechanisms of mental fatigue and better detection of it have been the focus of many researchers. Quit a few previous studies have found EEG indicators and high-precision detection methods related to mental fatigue, however, how to combine these EEG indicators with detection methods for better detection remains to be solved. To classify mental fatigue based on EEG features, our previous research, which adopted GA-SVM method, have demonstrated the optimal channels are mainly distributed in the prefrontal, occipital and temporal lobes, and the optimal channel number is 5. Here, we further explored the question by developing a new method combining genetic algorithm and hierarchical clustering to study the mental fatigue caused by visual search. Our results suggest that the optimal EEG features for assessing fatigue state vary from person to person, while the corresponding optimal channel positions are consistent. The channels with the largest changes in EEG features are mainly distributed in the frontal lobe, followed by the temporal lobe and a small area of the occipital lobe, while the corresponding regions of the almost all parietal lobe and part occipital lobe show little changes in EEG features during fatigue. Current study shows that the optimal EEG features of different individuals are different in the mental fatigue detection, and they need to be determined separately, but only a few of the same channels can be used to achieve the better detection.","PeriodicalId":136995,"journal":{"name":"2019 IEEE 7th International Conference on Bioinformatics and Computational Biology ( ICBCB)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134288797","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 : 2019-03-01DOI: 10.1109/ICBCB.2019.8854646
Hui Jiang, Songyuan Tang, Yating Li, Danni Ai, Hong Song, Jian Yang
Colorization of grayscale images is crucial for clinical image-based diagnosis. However, it is an ill-posed problem that requires a comprehensive understanding of image content. The present study proposes a novel convolutional neural network (CNN) for a fully automatic colorization process by first employing the pre-trained residual network to extract high-level image features and then introducing the CNN to analyze the complex nonlinear relationship between the image features and chrominance values. Luminance and the learned chrominance values are then combined to recover the color of the image, and the proposed color-perceptual loss function is used to calculate the recovered and real color image loss. Based on the experiments conducted, the proposed method was proven to be highly effective and robust in restoring endoscopic images to their true colors. The average values of the feature similarity index incorporating chromatic information (FSIMc) and the quaternion structural similarity (QSSIM) for the experimental endoscopic image datasets reached 0.9961 and 0.9739, respectively.
{"title":"Endoscopic Image Colorization Using Convolutional Neural Network","authors":"Hui Jiang, Songyuan Tang, Yating Li, Danni Ai, Hong Song, Jian Yang","doi":"10.1109/ICBCB.2019.8854646","DOIUrl":"https://doi.org/10.1109/ICBCB.2019.8854646","url":null,"abstract":"Colorization of grayscale images is crucial for clinical image-based diagnosis. However, it is an ill-posed problem that requires a comprehensive understanding of image content. The present study proposes a novel convolutional neural network (CNN) for a fully automatic colorization process by first employing the pre-trained residual network to extract high-level image features and then introducing the CNN to analyze the complex nonlinear relationship between the image features and chrominance values. Luminance and the learned chrominance values are then combined to recover the color of the image, and the proposed color-perceptual loss function is used to calculate the recovered and real color image loss. Based on the experiments conducted, the proposed method was proven to be highly effective and robust in restoring endoscopic images to their true colors. The average values of the feature similarity index incorporating chromatic information (FSIMc) and the quaternion structural similarity (QSSIM) for the experimental endoscopic image datasets reached 0.9961 and 0.9739, respectively.","PeriodicalId":136995,"journal":{"name":"2019 IEEE 7th International Conference on Bioinformatics and Computational Biology ( ICBCB)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123643907","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 : 2019-03-01DOI: 10.1109/ICBCB.2019.8854656
Wei Wang, Huashan Si, Xiaoni Zhang, Zhangyong Li
Aiming at the complexity and fuzziness of the connotation, extension and extension of sports fatigue, this paper constructs a quantitative and grading index evaluation model of cycling fatigue based on Kirkpatrick's classical evaluation model. With the help of Ironman tacx T2060 virtual intelligent riding platform to obtain real-time riding power and speed, while wearing wearable Zephyr BioHarness physical signs detector, recording the heart rate and respiratory rate of subjects, after 30 subjects during the movement of real-time data collection, analysis and processing of the parameters. Using the multi-level fuzzy comprehensive evaluation method and mathematical matrix method, the fatigue caused by cyclists in sports can be quantitatively classified and evaluated.
{"title":"Research on Quantitative Classification of Exercise Fatigue Based on Fuzzy Comprehensive Evaluation Method","authors":"Wei Wang, Huashan Si, Xiaoni Zhang, Zhangyong Li","doi":"10.1109/ICBCB.2019.8854656","DOIUrl":"https://doi.org/10.1109/ICBCB.2019.8854656","url":null,"abstract":"Aiming at the complexity and fuzziness of the connotation, extension and extension of sports fatigue, this paper constructs a quantitative and grading index evaluation model of cycling fatigue based on Kirkpatrick's classical evaluation model. With the help of Ironman tacx T2060 virtual intelligent riding platform to obtain real-time riding power and speed, while wearing wearable Zephyr BioHarness physical signs detector, recording the heart rate and respiratory rate of subjects, after 30 subjects during the movement of real-time data collection, analysis and processing of the parameters. Using the multi-level fuzzy comprehensive evaluation method and mathematical matrix method, the fatigue caused by cyclists in sports can be quantitatively classified and evaluated.","PeriodicalId":136995,"journal":{"name":"2019 IEEE 7th International Conference on Bioinformatics and Computational Biology ( ICBCB)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114546402","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}
This study proposed a novel method for the integration of microfluidic devices on the textile product for the potential applications in wearable sensing and monitoring of human health status. The proposed wearable microfluidic devices enables the controlled fluid flow inside the fiber structure with the capillary force in micro-scale. The structure of microfluidic devices were printed on the surface of a textile product using a commercial wax printer, after thermal treatment, the wax meltdown and permeate through the whole thickness of the textile fiber structure. The hydrophilic textile fiber with hydrophobic wax defined barrier formed a wearable microfluidic device integrated on the textile product. With the proposed protocol, the microfluidics devices could be easily integrated with textile product with a board adaptability with various types of fibers. This primary study for the integration protocols of microfluidics with textile product may have wide potential applications in wearable technology for continues health monitoring and treatment applications.
{"title":"The Primary Study for the Integration of Wax-Based Microfluidics on Textile Product","authors":"Jing Zhang, Xianbo Qiu, Yiqiang Fan, Lulu Zhang, Guijun Miao","doi":"10.1109/ICBCB.2019.8854659","DOIUrl":"https://doi.org/10.1109/ICBCB.2019.8854659","url":null,"abstract":"This study proposed a novel method for the integration of microfluidic devices on the textile product for the potential applications in wearable sensing and monitoring of human health status. The proposed wearable microfluidic devices enables the controlled fluid flow inside the fiber structure with the capillary force in micro-scale. The structure of microfluidic devices were printed on the surface of a textile product using a commercial wax printer, after thermal treatment, the wax meltdown and permeate through the whole thickness of the textile fiber structure. The hydrophilic textile fiber with hydrophobic wax defined barrier formed a wearable microfluidic device integrated on the textile product. With the proposed protocol, the microfluidics devices could be easily integrated with textile product with a board adaptability with various types of fibers. This primary study for the integration protocols of microfluidics with textile product may have wide potential applications in wearable technology for continues health monitoring and treatment applications.","PeriodicalId":136995,"journal":{"name":"2019 IEEE 7th International Conference on Bioinformatics and Computational Biology ( ICBCB)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131265284","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 : 2019-03-01DOI: 10.1109/ICBCB.2019.8854641
Shuli Ma, Huiqian Du, Qiongzhi Wu, Wenbo Mei
In this paper, we proposed a new method to reconstruct dynamic magnetic imaging (dMRI) data from highly undersampled k-t space measurements. First, we use the partial separability (PS) model to capture the spatiotemporal correlations of dMRI data. Then, we introduce a new tensor decomposition method named as tensor singular value decomposition (t-SVD) to the reconstruction problem. PS and low tensor multi-rank constrains are jointly enforced to reconstruct dynamic MRI data. We develop an efficient algorithm based on the alternating direction method of multipliers (ADMM) to solve the proposed optimization problem. The experimental results demonstrate the superior performance of the proposed method.
{"title":"Dynamic MRI Reconstruction Exploiting Partial Separability and t-SVD","authors":"Shuli Ma, Huiqian Du, Qiongzhi Wu, Wenbo Mei","doi":"10.1109/ICBCB.2019.8854641","DOIUrl":"https://doi.org/10.1109/ICBCB.2019.8854641","url":null,"abstract":"In this paper, we proposed a new method to reconstruct dynamic magnetic imaging (dMRI) data from highly undersampled k-t space measurements. First, we use the partial separability (PS) model to capture the spatiotemporal correlations of dMRI data. Then, we introduce a new tensor decomposition method named as tensor singular value decomposition (t-SVD) to the reconstruction problem. PS and low tensor multi-rank constrains are jointly enforced to reconstruct dynamic MRI data. We develop an efficient algorithm based on the alternating direction method of multipliers (ADMM) to solve the proposed optimization problem. The experimental results demonstrate the superior performance of the proposed method.","PeriodicalId":136995,"journal":{"name":"2019 IEEE 7th International Conference on Bioinformatics and Computational Biology ( ICBCB)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132474604","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 : 2019-03-01DOI: 10.1109/ICBCB.2019.8854662
Zhangyong Li, Qianqian Chen, Fuqu Chen, Chao Ge
In this paper, we mainly use the ability of lectin molecules to bind specifically to the sugar molecules on the cell surface to study the changes in the associated laws of lectin blood agglutination, so as to widely apply lectin to biology, medicine and other aspects. By collecting the dynamic change information of blood agglutination with lectin under the microscope, we use the image with the information in Gaussian filter to extract I_B component for image enhancement and then get Cr component by obtaining the ycrcb image. In the next, we use Or operations with the two components after the top-hat and bottom-hat transformation, the edge detection of the Canny operator and the Morphological operations separately. Finally, the cell segmentation statistics are performed by Watershed operations. It is obtained from the results of statistical analysis that the addition of lectin will affect the cell grouping rate. Although the cell agglutination is random, the grouping rate tends to be highest when the lectin concentration reaches about 250 ug/mL. We can also get that the fusion rate was positively correlated with the lectin concentration and the speed of cell aggregation is directly related to the lectin concentration and the lectin concentration is more, the reaction time of the cell agglutination process is shorter. The results of this paper fully confirm the agglutinin characteristics and provide a new observation and monitoring method for the study of the action of agglutinin on blood.
{"title":"Study on the Characteristics of Blood Agglutination Based on Microscopic Images","authors":"Zhangyong Li, Qianqian Chen, Fuqu Chen, Chao Ge","doi":"10.1109/ICBCB.2019.8854662","DOIUrl":"https://doi.org/10.1109/ICBCB.2019.8854662","url":null,"abstract":"In this paper, we mainly use the ability of lectin molecules to bind specifically to the sugar molecules on the cell surface to study the changes in the associated laws of lectin blood agglutination, so as to widely apply lectin to biology, medicine and other aspects. By collecting the dynamic change information of blood agglutination with lectin under the microscope, we use the image with the information in Gaussian filter to extract I_B component for image enhancement and then get Cr component by obtaining the ycrcb image. In the next, we use Or operations with the two components after the top-hat and bottom-hat transformation, the edge detection of the Canny operator and the Morphological operations separately. Finally, the cell segmentation statistics are performed by Watershed operations. It is obtained from the results of statistical analysis that the addition of lectin will affect the cell grouping rate. Although the cell agglutination is random, the grouping rate tends to be highest when the lectin concentration reaches about 250 ug/mL. We can also get that the fusion rate was positively correlated with the lectin concentration and the speed of cell aggregation is directly related to the lectin concentration and the lectin concentration is more, the reaction time of the cell agglutination process is shorter. The results of this paper fully confirm the agglutinin characteristics and provide a new observation and monitoring method for the study of the action of agglutinin on blood.","PeriodicalId":136995,"journal":{"name":"2019 IEEE 7th International Conference on Bioinformatics and Computational Biology ( ICBCB)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130322554","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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