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Improving Nonlocal Means Method via a No-reference Image Content Metric for MRI Denoising

Chinese Journal of Electronics 2014年第4期23卷 735-741页

作者： HOU Xin LI Jianwu LU Yao DONG Zhengchao Beijing Key Laboratory of Intelligent Information Technology School of Computer Science and TechnologyBeijing Institute of Technology Brain Imaging Lab Columbia University

The patch matching of the traditional Nonlocal means(NLM) filter mainly depends on structure similarity and cannot adapt to the patch rotation or mirroring transformation. Therefore, designing a measure with rotationally invariant similarity is of significant importance for improving the effectiveness of patch comparison of NLM. This paper proposes to apply a no-reference image content metric with the rotation-invariance to NLM for denoising Magnetic resonance(MR) images. The metric measures quantitatively the content of a patch in an image, including sharpness, contrast, and geometric features such as textures and edges. The metric values for every patch are computed and added into the Gaussian matching kernel of NLM so as to effectively perform patch matching. The main advantage of the proposed method is that it does not need to rotate patches in different orientations during patch matching. Experimental results show that the proposed method is superior to the traditional NLM, the state-of-the-art method Block-matching and 3-D(BM3D) filtering and the Unbiased NLM(UNLM) for MRI denoising.

关键词： Nonlocal means Rotationally invariant similarity measure No-reference image content metric Magnetic resonance image denoising

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A computational cognition model of perception,memory,and judgment

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science China(Information sciences) 2014年第3期57卷 154-168页

作者： FU XiaoLan CAI LianHong LIU Ye JIA Jia CHEN WenFeng YI Zhang ZHAO GuoZhen LIU YongJin WU ChangXu State Key Laboratory of Brain and Cognitive Science Institute of PsychologyChinese Academy of Sciences TNLIST Department of Computer Science and TechnologyTsinghua University College of Computer Science Sichuan University Key Laboratory of Behavioral Science Institute of PsychologyChinese Academy of Sciences

The mechanism of human cognition and its computability provide an important theoretical foundation to intelligent computation of visual *** paper focuses on the intelligent processing of massive data of visual media and its corresponding processes of perception,memory,and judgment in *** particular,both the human cognitive mechanism and cognitive computability of visual media are investigated in this paper at the following three levels:neurophysiology,cognitive psychology,and computational modeling.A computational cognition model of Perception,Memory,and Judgment(PMJ model for short)is proposed,which consists of three stages and three pathways by integrating the cognitive mechanism and computability aspects in a unified ***,this paper illustrates the applications of the proposed PMJ model in five visual media research *** demonstrated by these applications,the PMJ model sheds some light on the intelligent processing of visual media,and it would be innovative for researchers to apply human cognitive mechanism to computer science.

关键词： perception memory judgment computational cognition model

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Change in Human brain Functional Network Based on Granger Causality Analysis

Change in Human Brain Functional Network Based on Granger Ca...

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IEEE International Conference on Cyber technology in Automation, Control, and Intelligent Systems

作者： Chuan Li Haiyan Zhou Jun Zhou Jie Xiang Yulin Qin Ning Zhong Beijing University of Technology International WIC Institute Beijing Key Laboratory of MRI and Brain Informatics Taiyuan University of Technology College of Computer Science and Technology Carnegie Mellon University Dept. of Psychology Maebashi Institute of Technology Dept. of Life Science and Informatics

ISBN: (纸本)9781479987313

In recent years, the emergence of the fMRI provides a possibility of further exploration for the human brain. The complex workings of the brain are composed of a plurality of brain functional networks. To further explore the change affected by task in human brain functional network, the efficiency of a method of effective connectivity is examined by comparing the two resting state fMRI data before and after a task. Distinguished from the view of the brain network as a whole in previous studies, the method of Granger causality analysis (GCA) we used is focused on the internal organization within a brain network. Also, the method of functional connectivity is used to compare the efficiency of Granger causality analysis. The results show that taking the default mode network (DMN) as an example, the method of Granger causality analysis can be more sensitive to the functional re-organization in a human brain network after a task compared with functional connectivity. And the target of incoming causal influences area changed from rPCu to BG after task.

关键词： wetware Cerebrum brain Connectivity fMRI Network FUNCTIONALS basic group

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Hermes: A fast cross-ISA binary translator with post-optimization 15

Hermes: A fast cross-ISA binary translator with post-optimiz...

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International Symposium on Code Generation and Optimization (CGO)

作者： Xiaochun Zhang Qi Guo Yunji Chen Tianshi Chen Weiwu Hu Loongson Technology Corporation Limited Beijing China State Key Laboratory of Computer Architecture Chinese Academy of Sciences Beijing China Carnegie Mellon University Pittsburgh PA USA Center for Excellence in Brain Science CAS

ISBN: (纸本)9781479981618

In the era of mobile and cloud computing, cross-ISA (Instruction Set Architecture) binary translation attracts increasing attentions due to the ISA diversity of computing platforms. To easily adapt to vast guest- and host-ISAs with minimal porting efforts, existing cross-ISA binary translators (e.g., QEMU) are typically built upon ISA-independent Intermediate Representation (IR). Although IR conceals the architectural details of different IS As, it also prevents enforcing several effective ISA-specific optimizations, which results in severe performance degradation. To improve the performance of cross-ISA binary translation without loss of portability, we present a fast cross-ISA binary translator, Hermes, by conducting post-optimization on the translated code, rather than on the IR as conventional binary translators do. The proposed post-optimization technique uses Host-specific Data Dependence Graph (HDDG) to significantly eliminate redundant instructions, including arithmetic, load/store and call/return-emulation instructions. To validate our approach, we implement Hermes on a commercial MIPS host system for both ×86 and ARM guest. Compared with QEMU dynamic binary translator, HERMES improves the performance by a factor of 3.14× and 5.18× for ×86 and ARM guest, respectively. Compared with state-of-the-art static binary translator, HERMES achieves comparable performance, while it reduces the translation overhead by 185×.

关键词： Optimization Registers Emulation Mobile communication Cloud computing Program processors computer architecture

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FOUR NOVEL SUSCEPTIBILITY VARIANTS IDENTIFIED IN CHINESE ARE ASSOCIATED WITH SPORADIC ALZHEIMER’S DISEASE

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Alzheimer's & Dementia 2017年第7期13卷 P189-P191页

作者： Jianping Jia Xianbo Zuo Ling Wei Cuibai Wei Kai Wang Luxi Shen Fangyu Li Wei Qin Yi Tang Dantao Peng Lan Tan Benyan Luo Qihao Guo Yong Ji Muni Tang Yanjiang Wang Yifeng Du Jiewen Zhang Junjian Zhang Qiumin Qu Longfei Jia Center of Alzheimer's Disease Beijing Institute for Brain Disorders Beijing China Xuan Wu Hospital Capital Medical University Beijing China Neurodegenerative Laboratory of Ministry of Education of the People’s Republic of China Beijing China Beijing Key Laboratory of Geriatric Cognitive Disorders Beijing China First Affiliated Hospital of Anhui Medical University Hefei China State Key Laboratory Incubation Base of Dermatology Ministry of National Science and Technology Hefei China China-Japan Friendship Hospital Beijing China Qingdao Municipal Hospital School of Medicine Qingdao University Qingdao China First Affiliated Hospital Zhejiang University Hangzhou China Huashan Hospital Fudan University Shanghai China Tianjin Huanhu Hospital Tianjin China Guangzhou Huiai Hospital Affiliated Hospital of Guangzhou Medical College Guangzhou China Daping Hospital Third Military Medical University Chongqing China Shandong Provincial Hospital Shandong University Jinan China Henan Provincial People's Hospital Zhengzhou China Zhongnan Hospital Wuhan University Wuhan China First Affiliated Hospital of Xi'an Jiaotong University Xi'an China Henry Ford Hospital Detroit MI USA

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Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits (vol 50, pg 1412, 2018)

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NATURE GENETICS 2018年第12期50卷 1755-1755页

作者： Evangelou, Evangelos Warren, Helen R. Mosen-Ansorena, David Mifsud, Borbala Pazoki, Raha Gao, He Ntritsos, Georgios Dimou, Niki Cabrera, Claudia P. Karaman, Ibrahim Fu Liang Ng Evangelou, Marina Witkowska, Katarzyna Tzanis, Evan Hellwege, Jacklyn N. Giri, Ayush Edwards, Digna R. Velez Sun, Yan V. Cho, Kelly Gaziano, J. Michael Wilson, Peter W. F. Tsao, Philip S. Kovesdy, Csaba P. Esko, Tonu Magi, Reedik Milani, Lili Almgren, Peter Boutin, Thibaud Debette, Stephanie Ding, Jun Giulianini, Franco Holliday, Elizabeth G. Jackson, Anne U. Li-Gao, Ruifang Lin, Wei-Yu Luan, Jian'an Mangino, Massimo Oldmeadow, Christopher Prins, Bram Peter Qian, Yong Sargurupremraj, Muralidharan Shah, Nabi Surendran, Praveen Theriault, Sebastien Verweij, Niek Willems, Sara M. Zhao, Jing-Hua Amouyel, Philippe Connell, John de Mutsert, Renee Doney, Alex S. F. Farrall, Martin Menni, Cristina Morris, Andrew D. Noordam, Raymond Pare, Guillaume Poulter, Neil R. Shields, Denis C. Stanton, Alice Thom, Simon Abecasis, Goncalo Amin, Najaf Arking, Dan E. Ayers, Kristin L. Barbieri, Caterina M. Batini, Chiara Bis, Joshua C. Blake, Tineka Bochud, Murielle Boehnke, Michael Boerwinkle, Eric Boomsma, Dorret I. Bottinger, Erwin P. Braund, Peter S. Brumat, Marco Campbell, Archie Campbell, Harry Chakravarti, Aravinda Chambers, John C. Chauhan, Ganesh Ciullo, Marina Cocca, Massimiliano Collins, Francis Cordell, Heather J. Davies, Gail de Borst, Martin H. de Geus, Eco J. Deary, Ian J. Deelen, Joris Del Greco, Fabiola M. Demirkale, Cumhur Yusuf Dorr, Marcus Ehret, Georg B. Elosua, Roberto Enroth, Stefan Erzurumluoglu, A. Mesut Ferreira, Teresa Franberg, Mattias Franco, Oscar H. Gandin, Ilaria Gasparini, Paolo Giedraitis, Vilmantas Gieger, Christian Girotto, Giorgia Goel, Anuj Gow, Alan J. Gudnason, Vilmundur Guo, Xiuqing Gyllensten, Ulf Hamsten, Anders Harris, Tamara B. Harris, Sarah E. Hartman, Catharina A. Havulinna, Aki S. Hicks, Andrew A. Hofer, Edith Hofman, Albert Hottenga, Jouke-Jan Huffman, Jennifer E. Hwang, Shih-Jen Ingelsson, Erik James, Alan Jansen Department of Epidemiology and Biostatistics Imperial College London London UK Department of Hygiene and Epidemiology University of Ioannina Medical School Ioannina Greece William Harvey Research Institute Barts and The London School of Medicine and Dentistry Queen Mary University of London London UK National Institute for Health Research Barts Cardiovascular Biomedical Research Center Queen Mary University of London London UK MRC-PHE Centre for Environment and Health Imperial College London London UK Department of Mathematics Imperial College London London UK Division of Epidemiology Department of Medicine Institute for Medicine and Public Health Vanderbilt Genetics Institute Vanderbilt University Medical Center Tennessee Valley Healthcare System (626)/Vanderbilt University Nashville TN USA Vanderbilt Genetics Institute Vanderbilt Epidemiology Center Department of Obstetrics and Gynecology Vanderbilt University Medical Center Tennessee Valley Health Systems VA Nashville TN USA Department of Epidemiology Emory University Rollins School of Public Health Atlanta GA USA Department of Biomedical Informatics Emory University School of Medicine Atlanta GA USA Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC) VA Boston Healthcare System Boston MA USA Division of Aging Department of Medicine Brigham and Women’s Hospital Department of Medicine Harvard Medical School Boston MA USA Atlanta VAMC and Emory Clinical Cardiovascular Research Institute Atlanta GA USA VA Palo Alto Health Care System Division of Cardiovascular Medicine Stanford University School of Medicine Stanford CA USA Nephrology Section Memphis VA Medical Center and University of Tennessee Health Science Center Memphis TN USA Estonian Genome Center University of Tartu Tartu Estonia Program in Medical and Population Genetics Broad Institute of Harvard and MIT Cambridge MA USA Department Clinical Sciences Malmö Lund University Malmö Sweden MRC Human Genetics Un

High blood pressure is a highly heritable and modifiable risk factor for cardiovascular disease. We report the largest genetic association study of blood pressure traits (systolic, diastolic and pulse pressure) to date in over 1 million people of European ancestry. We identify 535 novel blood pressure loci that not only offer new biological insights into blood pressure regulation but also highlight shared genetic architecture between blood pressure and lifestyle exposures. Our findings identify new biological pathways for blood pressure regulation with potential for improved cardiovascular disease prevention in the future.

关键词： Cardiovascular diseases Genome informatics Genome-wide association studies

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A clonal selection algorithm for classification of mangroves remote sensing image

International Journal of Control and Automation

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International Journal of Control and Automation 2014年第4期7卷 395-404页

作者： Luo, Yan-Min Liao, Ming-Hong Department of Cognitive Science Fujian Key Laboratory of the Brain-like Intelligent Systems Xiamen University Xiamen 361005 China College of Computer Science and Technology Huaqiao University Xiamen 361021 China Software School Xiamen University Xiamen 361005 China

As a new computational intelligence model based on artificial immune systems, clonal selection algorithm has been widely utilized for data analysis and pattern recognition. Recently it was applied to remote-sensing image classification. However, due to the similar spectral feature between mangroves and other land cover types such as agricultural land and forests, serious misclassification and confusion can develop in mangroves classification using conventional methods. This paper proposes a clonal selection based supervised classification algorithm which takes into account not only spectral feature but also geographical feature and image feature. The proposed algorithm searches the best cluster centers for various types of training samples by the improved clonal selection algorithm. The antibody represents the candidate solution, while antigen is reflected by affinity function. The antibody is encoding by decimal way. The inner superiority and the outer superiority together are used to measure the superiority of antibody. The selection operator and mutation operator are designed to guarantee the diversity and global optimality. Experiments are performed and the results show that the proposed method can improve the extraction accuracy of mangroves effectively. © 2014 SERSC.

关键词： Antibodies

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Data-brain driven documents ranking for constructing brain informatics provenances

Data-brain driven documents ranking for constructing brain i...

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2014 International Conference on brain Informatics and Health, BIH 2014

作者： Zhong, Han Chen, Jianhui Han, Jian Zhong, Ning International WIC Institute Beijing University of Technology Beijing 100024 China Department of Computer Science and Technology Tsinghua University Beijing 100084 China Beijing Key Laboratory of MRI and Brain Informatics Beijing China Department of Life Science and Informatics Maebashi Institute of Technology Maebashi-City 371-0816 Japan

ISBN: (纸本)9783319098906

The documents selection related brain information based on the data-brain ontology not only has an important significance in the promotion of data-brain ontology, but also lays the foundation for knowledge integration. However, traditional research of documents selection focuses on the concept, and cannot meet the requirement of the systematic brain Informatics study. This paper analyzes the characteristics of source knowledge firstly with concepts, attributes and relations. Then, we calculate the weight of documents by using the improved method of VSM. Finally, the experiments using real documents associated with brain science are given and calculating the weight of each document achieves a better effect of ranking selection. © 2014 Springer International Publishing.

关键词： Ontology

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A brain informatics research recommendation system

A brain informatics research recommendation system

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2014 International Conference on brain Informatics and Health, BIH 2014

作者： Han, Jian Chen, Jianhui Zhong, Han Zhong, Ning International WIC Institute Beijing University of Technology Beijing 100024 China Department of Computer Science and Technology Tsinghua University Beijing 100084 China Beijing Key Laboratory of MRI and Brain Informatics Beijing China Department of Life Science and Informatics Maebashi Institute of Technology Maebashi-City 371-0816 Japan

ISBN: (纸本)9783319098906

Finding and learning related research is a necessary work in brain Informatics studies. However, the keyword-based search on brain and mental big data center often brings a large amount of unnecessary results. It is very difficult to find needed research from those results for researchers. This paper proposes a brain Informatics research recommendation system based on the Data-brain and BI provenances. By choosing interest aspects from the Data-brain and applying the unification of search and reasoning based on Data-brain interests, the more accurate search can be realized to find really related literatures for supporting systematic brain Informatics studies. © 2014 Springer International Publishing.

关键词： Recommender systems

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Lying-pose detection with training dataset expansion

Lying-pose detection with training dataset expansion

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作者： Xia, Dao-Xun Su, Song-Zhi Li, Shao-Zi Jodoin, Pierre-Marc School of Information Science and Technology Xiamen University Xiamen361005 China Fujian Key Laboratory of the Brain-like Intelligent Systems Xiamen361005 China School of Mathematics and Computer Science Guizhou Normal University Guiyang550001 China Sherbrooke University SherbrookeQC Canada

ISBN: (纸本)9781479957514

We propose a rotation and scale invariant method to locate people lying on the ground. Unlike conventional human-shape detection methods which assume that all human shapes are in upright position, a person lying on the ground can have arbitrary orientation and pose. Accounting for every possible body configuration would thus require a huge training dataset that would be challenging to gather. In this paper, we propose a method which increases the size of a small training dataset and allows to detect multiple body poses. To do so, our method increases the size of the dataset with a geometric distortion method followed by a rejection sampling method. Then, it automatically identifies K body configurations in the training set, realign it in upright position and trains K SVM classifiers, one for each body configuration. Lying pose detection is then performed by considering a max pooling strategy across all K SVM classifiers. © 2014 IEEE.

关键词： Classification (of information)

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