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计算机科研与技术

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2016年12月19日收录SCI论文2条、EI论文5条  

2016-12-22 11:57:00|  分类: 论文写作发表 |  标签: |举报 |字号 订阅

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一、SCI 2条
*Record 1 of 2. Search terms matched: CHONGQING JIAOTONG(2)
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Title: Single base station hybrid localization with scatter and angle of departure in circular scattering environment 
Authors: Wu, SX; Xu, DY; Zhang, SJ; Huang, DR
Author Full Names: Wu, Shixun; Xu, Dengyuan; Zhang, Shengjun; Huang, Darong
Source: ANNALS OF TELECOMMUNICATIONS, 71 (11-12):649-655; 10.1007/s12243-016-0535-6 DEC 2016 
Language: English
Document Type: Article
Author Keywords: Localization, Single base station, Scatter, Angle of departure (AOD), Angle of arrival(AOA)
KeyWords Plus: NLOS ENVIRONMENTS; LOCATION; ALGORITHM; PROPAGATION; NETWORKS; LOS
Abstract: A single base station (BS) localization approach is proposed in this paper when the BS measures time of arrival (TOA) and angle of arrival (AOA). As the mobile stations (MSs) are gradually evolving to become sophisticated wireless access devices rather than just pocket telephones, the angle of departure (AOD) can also be obtained. Based on the circular scattering model, a nonlinear constrained optimization localization approach is formulated by introducing the coordinate of scatter. More accurate localization results with AOD and AOA informations can be achieved by reducing the feasible area among the coordinates of scatter, MS, and BS. Due to the measurement errors, the AOD and AOA measurements may decide incorrect relation among them. Then, the theoretic probabilities of wrong decision about the solo judgment of AOD measurement and joint judgment of AOD and AOA measurements are analyzed and derived, respectively. Simulation results demonstrate that the proposed approaches give better performance compared to the existing approaches, and the theoretic probabilities of wrong decision are consistent with simulation results.
Reprint Address: Wu, SX (reprint author), Chongqing Jiaotong Univ, Informat Sci & Engn Coll, Chongqing, Peoples R China.
Addresses: [Wu, Shixun; Xu, Dengyuan; Zhang, Shengjun; Huang, Darong] Chongqing Jiaotong Univ, Informat Sci & Engn Coll, Chongqing, Peoples R China. 
E-mail Addresses: wushixun333@163.com
Funding Acknowledgement: Science and Technology Research Project of Chongqing Municipal Education Commission [KJ1400305]; Foundation and Frontier Research Project of Chongqing [cstc2016jcyjA0365, cstc2013jcyjA30017]; Natural Science Foundation of China [61573706, 61304104, 51308573]; Scientific Research Foundation for the Returned Overseas Chinese Scholars [2015-49]; Program for Excellent Talents of Chongqing Higher School [2014-18]; open fund project of key Laboratory of Hydraulic and Waterway Engineering of the Ministry of Education; National Engineering Research Center for Inland Waterway Regulation in Chongqing Jiaotong University [SLK2016A01]; open fund project of state key laboratory cultivation base for mountain bridge and tunnel engineering [CQSLBF-Y16-7] 
Funding Text: This research was supported by the Science and Technology Research Project of Chongqing Municipal Education Commission (KJ1400305), Foundation and Frontier Research Project of Chongqing (cstc2016jcyjA0365, cstc2013jcyjA30017), Natural Science Foundation of China (no. 61573706, no. 61304104, no. 51308573), the Scientific Research Foundation for the Returned Overseas Chinese Scholars (no. 2015-49), Program for Excellent Talents of Chongqing Higher School(no. 2014-18), open fund project of key Laboratory of Hydraulic and Waterway Engineering of the Ministry of Education and National Engineering Research Center for Inland Waterway Regulation in Chongqing Jiaotong University (SLK2016A01), and open fund project of state key laboratory cultivation base for mountain bridge and tunnel engineering (CQSLBF-Y16-7). 
Cited Reference Count: 28 
Times Cited: 0 
Publisher: SPRINGER FRANCE, 22 RUE DE PALESTRO, PARIS, 75002, FRANCE 
ISSN: 0003-4347 
eISSN: 1958-9395 
Web of Science Categories: Telecommunications
Research Areas: Telecommunications
IDS Number: EC5ID 
Unique ID: WOS:000388166800009
Cited References: 
Caffery J, 1998, IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, V47, P406
Al-Jazzar Saleh, 2009, IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, V58, P468
Venkatraman S, 2004, IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY55th IEEE Vehicular Technology Conference (VTC 2002), MAY 06-09, 2002, BIRMINGHAM, AL, V53, P1515
Zhaounia M, 2010, The IEEE Symposium on Computers and Communications, Riccione, Italy, P671
Pejovic Predrag, 2015, ANNALS OF TELECOMMUNICATIONS-ANNALES DES TELECOMMUNICATIONS, V70, P491
Wu Shixun, 2012, IEEE COMMUNICATIONS LETTERS, V16, P196
Zhang S, 2015, IEEE Commun Lett, V19, 
Zhaounia Mohamed, 2008, 2008 3RD INTERNATIONAL SYMPOSIUM ON WIRELESS PERVASIVE COMPUTING, VOLS 1-23rd International Symposium on Wireless Pervasive Computing, MAY 07-09, 2008, Santorini, GREECE, P370
Silventoinen MI, 1996, 1996 IEEE INTERNATIONAL CONFERENCE ON PERSONAL WIRELESS COMMUNICATIONS, PROCEEDINGS & EXHIBITION – FUTURE ACCESS1996 IEEE International Conference on Personal Wireless Communications, FEB 19-21, 1996, NEW DELHI, INDIA, P232
Xie Y, 2009, IEEE communications letters, V12, P254
Jami I, 2000, IEEE/AFCEA EUROCOMM 2000, CONFERENCE RECORDIEEE/AFCEA EUROCOMM 2000 on Information Systems for Enhanced Public Safety and Security, MAY 17, 2000, MUNICH, GERMANY, P131
Wu Shixun, 2013, WIRELESS PERSONAL COMMUNICATIONS, V68, P187
Tsalolikhin Evgeny, 2011, IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, V60, P1124
Wu Shixun, 2016, INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS, V29, P1073
Wu Shixun, 2015, WIRELESS PERSONAL COMMUNICATIONS, V84, P3143
AI-Qaisi A, 2016, Ann Telecommun, P1
Mazuelas S., 2009, IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, V58, P2585
Shixun Wu, 2015, WSEAS Transactions on Communications, V14, P235
Miao Honglei, 2007, IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY31st IEEE International Conference on Acoustics, Speech and Signal Processing, MAY 14-19, 2006, Toulouse, FRANCE, V56, P2568
Wu S, 2011, Improved localization algorithms based on reference selection of linear least square in LOS and NLOS environments, 
Seow Chee Kiat, 2008, IEEE TRANSACTIONS ON MOBILE COMPUTING, V7, P647
Jazzar SA, 2007, IEEE Trans Veh Technol, V56, P583
Cong L, 2002, IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, V1, P439
Ertel RB, 1999, IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, V17, P1829
Venkatranman S, 2004, Proc. wireless communications and networking conference (WCNC), Mar., 2004, V1, P274
Gill PE, 1981, Practical optimization, 
Porretta M, 2004, IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, V53, P1502
Tang Hong, 2008, EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING,

 

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*Record 2 of 2. Search terms matched: CHONGQING 400074(2); CHONGQING JIAOTONG(2)
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Title: Parametric modeling and contact analysis of helical gears with modifications 
Authors: He, ZY; Lin, TJ; Luo, TH; Deng, T; Hu, QG
Author Full Names: He Zeyin; Lin Tengjiao; Luo Tianhong; Deng Tao; Hu Qiguo
Source: JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY, 30 (11):4859-4867; 10.1007/s12206-016-1004-x NOV 2016 
Language: English
Document Type: Article
Author Keywords: Helical gear, Profile modification, Longitudinal crowning, Dynamic contact
KeyWords Plus: COMPUTERIZED DESIGN
Abstract: An approach for a mathematical model and contact analysis of helical gears including tip relief, root relief, end relief and longitudinal crowning modification was developed. First, tooth profile equations of non-modified involutes, tip reliefs, root reliefs and fillets were derived after applying gear principles and coordinate transformation to transverse cross section profiles of a rack cutter. Then the intersecting lines between different profiles were solved through by Gauss-Newton numerical method. Parametric modeling program of modified helical gears was obtained to automatically generate exact gear surfaces of tip reliefs, root reliefs, end reliefs and longitudinal crowning modifications via Matlab code. Subsequently, an example of helical gear pair in practical engineering was presented, and the solid model and finite element model with modification were established. Finally, the dynamic contact characteristic of helical gear pair was calculated by three-dimensional dynamic contact finite element method. It is expected that the proposed approach can be applied in analyzing the effect of modification on radiation noise prediction of gear system in further study.
Reprint Address: He, ZY (reprint author), Chongqing Jiaotong Univ, Sch Mech & Vehicle Engn, Chongqing 400074, Peoples R China.
He, ZY (reprint author), Chongqing Univ, State Key Lab Mech Transmiss, Chongqing 400030, Peoples R China.
Addresses: [He Zeyin; Luo Tianhong; Deng Tao; Hu Qiguo] Chongqing Jiaotong Univ, Sch Mech & Vehicle Engn, Chongqing 400074, Peoples R China.
[He Zeyin; Lin Tengjiao] Chongqing Univ, State Key Lab Mech Transmiss, Chongqing 400030, Peoples R China. 
E-mail Addresses: zeyin_he@126.com
Funding Acknowledgement: Scientific and Technological Research Program of Chongqing Municipal Education Commission [KJ1600503]; Chongqing Research Program of Basic Research and Frontier technology [cstc2016jcyjA0514, cstc2015jcyjBX 0133]; National Science & Technology Support Project of P. R. China [2015BAF06B02]; National Natural Science Foundation of P. R. China [51375519, 51305473] 
Funding Text: The authors are grateful for the financial support provided by Scientific and Technological Research Program of Chongqing Municipal Education Commission No. KJ1600503, Chongqing Research Program of Basic Research and Frontier technology No.cstc2016jcyjA0514 and No.cstc2015jcyjBX 0133, National Science & Technology Support Project of P. R. China under Contract No. 2015BAF06B02, National Natural Science Foundation of P. R. China under Contract No. 51375519 and No. 51305473. 
Cited Reference Count: 15 
Times Cited: 0 
Publisher: KOREAN SOC MECHANICAL ENGINEERS, KSTC NEW BLD. 7TH FLOOR, 635-4 YEOKSAM-DONG KANGNAM-KU, SEOUL 135-703, SOUTH KOREA 
ISSN: 1738-494X 
eISSN: 1976-3824 
Web of Science Categories: Engineering, Mechanical
Research Areas: Engineering
IDS Number: EC4VH 
Unique ID: WOS:000388131900004
Cited References: 
吴勇军, 2011, 航空动力学报Journal of Aerospace Power, V26, P409
Wang Wei-Shiang, 2008, MECHANISM AND MACHINE THEORY, V43, P1416
Chen BingKui, 2008, SCIENCE IN CHINA SERIES E-TECHNOLOGICAL SCIENCES, V51, P598
Huang Kuo Jao, 2010, FINITE ELEMENTS IN ANALYSIS AND DESIGN, V46, P1106
Wang Suyu, 2005, Chinese Journal of Mechanical Engineering, V41, P163
Hsu Ruei-Hung, 2010, MECHANISM AND MACHINE THEORY, V45, P1298
Litvin FL, 2003, COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, V192, P3619
Gurumani R., 2011, Engineering Mechanics, V18, P65
唐进元, 2012, 中南大学学报. 自然科学版Journal of Central South University of Science and Technology, V43, P1703
Xiao Laiyuan, 2004, Journal of Huazhong University of Science and Technology, V32, P58
李国龙, 2011, 机械工程学报Chinese Journal of Mechanical Engineering, V47, P155
Oswald F. B., 1996, Gear Technology, V13, P20
Fuentes Alfonso, 2010, COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, V199, P1677
Wei Jing, 2014, JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY, V28, P2253
Jiang Hanjun, 2015, JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY, V29, P4563


二、EI 5条
1. Bearing faults recognition based on the local mode decomposition morphological spectrum and optimized support vector machine
Accession number: 20164903100992
Authors: Dong, Shaojiang (1, 2, 3); Wang, Jun (1); Tang, Baoping (4); Xu, Xiangyang (3); Liu, Juan (5)
Author affiliation: (1) School of Mechatronics and Automotive Engineering, Chongqing Jiaotong University, Chongqing; 400074, China; (2) Key Laboratory of Road Construction Technology and Equipment ( chang’An University), MOE, Xian; 710064, China; (3) School of Mechanical Engineering, Xihua University, Chengdu; 61 0039, China; (4) State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing; 400030, China; (5) Chongqing University of Eduction, Chongqing; 400065, China
Source title: 2016 13th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2016
Abbreviated source title: Int. Conf. Ubiquitous Robots Ambient Intell., URAI
Monograph title: 2016 13th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2016
Issue date: October 21, 2016
Publication year: 2016
Pages: 1012-1016
Article number: 7734128
Language: English
ISBN-13: 9781509008216
Document type: Conference article (CA)
Conference name: 13th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2016
Conference date: August 19, 2016 – August 22, 2016
Conference location: Xian, China
Conference code: 124463
Publisher: Institute of Electrical and Electronics Engineers Inc.
Abstract: A novel method to solve the bearing fault recognition problem is proposed, which is based on local mode decomposition (LMD) to extract the characteristic features and the transfer learning strategy optimized support vector machine (TLSSVM) to achieve the fault state classification. Firstly, the gathered vibration signals were decomposed by the LMD to obtain the corresponding product functions (PFs). The morphological spectrums of the chosen PFs that include typical feature information are calculated and defined as the characteristic features. However, the extracted features remained high-dimensional, and excessive redundant information still existed. So, the principal components analysis (PCA) is used to extract the characteristic features to extract the characteristic features and reduce the dimension. The characteristic features are input into the SVM model, in order to get a higher accuracy of the diagnosis accuracy, because of the fuzzy features, the transfer learning strategy is used to optimized the SVM model, and the optimized model is used to construct the fault state identification model, the bearing fault state identification is realized. The fault states of a bearing normal and several inner races with different degree of fault were recognized, the results validate the effectiveness of the proposed algorithm. ? 2016 IEEE.
Number of references: 8
Main heading: Principal component analysis
Controlled terms: Artificial intelligence  -  Bearings (structural)  -  Intelligent robots  -  Learning systems  -  Signal processing  -  Support vector machines
Uncontrolled terms: Bearing fault recognition  -  Feature information  -  Local modes  -  Morphological spectrum  -  Principal components analysis  -  State classification  -  State identification  -  Transfer learning
Classification code: 401.1 Bridges
Bridges
  -  716.1 Information Theory and Signal Processing
Information Theory and Signal Processing
  -  723 Computer Software, Data Handling and Applications
Computer Software, Data Handling and Applications
  -  723.4 Artificial Intelligence
Artificial Intelligence
  -  731.6 Robot Applications
Robot Applications
  -  922.2 Mathematical Statistics
Mathematical Statistics
DOI: 10.1109/URAI.2016.7734128
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2016 Elsevier Inc.
Data Provider: Engineering Village
 
2. Stability analysis of fractional-order complex-valued neural networks with both leakage and discrete delays
Accession number: 20165003109794
Authors: Zhang, Lei (1); Song, Qiankun (1); Zhao, Zhenjiang (2)
Author affiliation: (1) Department of Mathematics, Chongqing Jiaotong University, Chongqing; 400074, China; (2) Department of Mathematics, Huzhou University, Huzhou; 313000, China
Corresponding author: Zhang, Lei(qiankunsong@163.com)
Source title: Applied Mathematics and Computation
Abbreviated source title: Appl. Math. Comput.
Volume: 298
Issue date: April 1, 2017
Publication year: 2017
Pages: 296-309
Language: English
ISSN: 00963003
CODEN: AMHCBQ
Document type: Journal article (JA)
Publisher: Elsevier Inc.
Abstract: In this paper, the problem of uniform stability for fractional-order complex-valued neural networks with both leakage and discrete delays is considered. Base on the contracting mapping principle, a sufficient condition is proposed for the existence and uniqueness of the equilibrium point of the addressed neural networks. By employing analysis technique, some delay-dependent criteria are established for checking the global uniform stability of the fractional-order complex-valued neural networks. Two numerical examples are presented to demonstrate the validity and feasibility of the proposed results. ? 2016
Number of references: 52
Main heading: Complex networks
Controlled terms: Stability  -  Stability criteria
Uncontrolled terms: Analysis techniques  -  Complex-valued neural networks  -  Delay-dependent criteria  -  Discrete delay  -  Existence and uniqueness  -  Global uniform stability  -  Leakage delays  -  Uniform stability
Classification code: 722 Computer Systems and Equipment
Computer Systems and Equipment
  -  961 Systems Science
Systems Science
DOI: 10.1016/j.amc.2016.11.027
Funding Details: Number; Acronym; Sponsor: 61273021; NSFC; National Natural Science Foundation of China  -  Number; Acronym; Sponsor: 61473332; NSFC; National Natural Science Foundation of China
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2016 Elsevier Inc.
Data Provider: Engineering Village
 
3. Time-frequency analysis of track irregularity based on orthogonal empirical mode decomposition
Accession number: 20164903096043
Authors: Zhao, Ling (1, 2); Huang, Darong (1); Wang, Honggang (1); Yu, Hongtao (3); Chu, Xiaoyan (1)
Author affiliation: (1) School of Computer Science and Technology, Chongqing Jiaotong University, Chongqing; 400074, China; (2) School of Automation, Chongqing University, Chongqing; 400030, China; (3) Department of Mechanical Engineering, Texas A and M University, College Station; 77840, United States
Corresponding author: Zhao, Ling(zhao.ling@163.com)
Source title: Telkomnika (Telecommunication Computing Electronics and Control)
Abbreviated source title: Telkomnika Telecomun. Compt. Electr. Control
Volume: 14
Issue: 3A
Issue date: September 2016
Publication year: 2016
Pages: 237-243
Language: English
ISSN: 16936930
E-ISSN: 23029293
Document type: Journal article (JA)
Publisher: Universitas Ahmad Dahlan
Abstract: A method of extracting transient features of a non-stationary signal was proposed based on the combination of orthogonal empirical mode decomposition (OEMD) and the Hilbert transform. After obtaining orthogonal intrinsic mode functions, the instantaneous frequency and amplitude can be calculated, so problems existing in the original Hilbert-Huang Transform (HHT) method, such as mode aliasing, can be solved. The track irregularity signal is studied with the OEMD method, and the statistical and analytic result indicates that there are relatively serious short wave and long wave track irregularities in the sample signal. Analysis of track irregularities using OEMD is a new technical method for guaranteeing the safe running of railway. ? 2016 Universitas Ahmad Dahlan. All rights reserved.
Number of references: 9
Main heading: Orthogonal functions
Controlled terms: Mathematical transformations  -  Railroad tracks  -  Signal processing
Uncontrolled terms: Hilbert transform  -  Hilberthuang transform method(HHT)  -  Instantaneous frequency  -  Intrinsic Mode functions  -  Nonstationary signals  -  Orthogonal empirical mode decomposition  -  Time frequency analysis  -  Track irregularity
Classification code: 681.1 Railway Plant and Structures, General
Railway Plant and Structures, General
  -  716.1 Information Theory and Signal Processing
Information Theory and Signal Processing
  -  921 Mathematics
Mathematics
  -  921.3 Mathematical Transformations
Mathematical Transformations
DOI: 10.12928/TELKOMNIKA.v14i3A.4400
Funding Details: Number; Acronym; Sponsor: 61304104; NSF; National Science Foundation
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2016 Elsevier Inc.
Data Provider: Engineering Village
 
4. The study on an automotive refill opening cap preforming process based on single point incremental forming
Accession number: 20165003105043
Authors: Zhiguo, A. (1); Zhengfang, L. (1); Tianhua, F. (1); Jianjian, Q. (1)
Author affiliation: (1) Chongqing Jiaotong University, Chongqing, China
Source title: Metalurgija
Abbreviated source title: Metalurgija
Volume: 56
Issue: 1-2
Issue date: January 2017
Publication year: 2017
Pages: 211-214
Language: English
ISSN: 05435846
Document type: Journal article (JA)
Publisher: Faculty of Metallurgy
Abstract: In this paper, the preform of an automotive refill opening cap is manufactured through the incremental sheet forming (ISF) with large rigidity because of the lower thickness reduction percentage, and the production cost is reduced. Four processing parameters, including the preforming height (PH), the preforming press amount (PPA), the preforming tool diameter (PTD) and the preforming angle (PA), are optimized by orthogonal tests and response surface methods, and the max thickness reduction percentage (MTRP) is taken as the test target. Results: The optimal processing parameters include a PH of 15 mm, a PPA of 0,5 mm, a PTD of 8 mm and a PA of 40°. ? 2017, Faculty of Metallurgy. All rights reserved.
Number of references: 5
Main heading: Preforming
Controlled terms: Error analysis  -  Forming  -  Mechanical properties  -  Surface properties
Uncontrolled terms: Al alloy sheet  -  Incremental sheet forming  -  Optimal processing  -  Preforming process  -  Processing parameters  -  Response surface method  -  Single point incremental forming  -  Thickness reduction
Classification code: 951 Materials Science
Materials Science
Numerical data indexing: Size 1.50e-02m, Size 8.00e-03m
Funding Details: Number; Sponsor: KJ1104004; Chongqing Municipal Education Commission
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2016 Elsevier Inc.
Data Provider: Engineering Village
 
5. Robust multi-atlas label propagation by deep sparse representation
Accession number: 20164903088532
Authors: Zu, Chen (1, 2); Wang, Zhengxia (1, 3); Zhang, Daoqiang (2); Liang, Peipeng (4); Shi, Yonghong (5, 6); Shen, Dinggang (1, 7); Wu, Guorong (1)
Author affiliation: (1) Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill; NC; 27599, United States; (2) College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing; 210016, China; (3) Department of Information Science and Engineering, Chongqing Jiaotong University, Chongqing; 400074, China; (4) Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing; 100053, China; (5) Digital Medical Research Center, School of Basic Medical Sciences, Fudan University, Shanghai; 200032, China; (6) Shanghai Key Laboratory of Medical Imaging Computing and Computer-Assisted Intervention, Shanghai; 200032, China; (7) Department of Brain and Cognitive Engineering, Korea University, Seoul; 02841, Korea, Republic of
Corresponding author: Shen, Dinggang(dgshen@med.unc.edu)
Source title: Pattern Recognition
Abbreviated source title: Pattern Recogn.
Volume: 63
Issue date: March 1, 2017
Publication year: 2017
Pages: 511-517
Language: English
ISSN: 00313203
CODEN: PTNRA8
Document type: Journal article (JA)
Publisher: Elsevier Ltd
Abstract: Recently, multi-atlas patch-based label fusion has achieved many successes in medical imaging area. The basic assumption in the current state-of-the-art approaches is that the image patch at the target image point can be represented by a patch dictionary consisting of atlas patches from registered atlas images. Therefore, the label at the target image point can be determined by fusing labels of atlas image patches with similar anatomical structures. However, such assumption on image patch representation does not always hold in label fusion since (1) the image content within the patch may be corrupted due to noise and artifact; and (2) the distribution of morphometric patterns among atlas patches might be unbalanced such that the majority patterns can dominate label fusion result over other minority patterns. The violation of the above basic assumptions could significantly undermine the label fusion accuracy. To overcome these issues, we first consider forming label-specific group for the atlas patches with the same label. Then, we alter the conventional flat and shallow dictionary to a deep multi-layer structure, where the top layer (label-specific dictionaries) consists of groups of representative atlas patches and the subsequent layers (residual dictionaries) hierarchically encode the patchwise residual information in different scales. Thus, the label fusion follows the representation consensus across representative dictionaries. However, the representation of target patch in each group is iteratively optimized by using the representative atlas patches in each label-specific dictionary exclusively to match the principal patterns and also using all residual patterns across groups collaboratively to overcome the issue that some groups might be absent of certain variation patterns presented in the target image patch. Promising segmentation results have been achieved in labeling hippocampus on ADNI dataset, as well as basal ganglia and brainstem structures, compared to other counterpart label fusion methods. ? 2016 Elsevier Ltd
Number of references: 27
Main heading: Medical imaging
Controlled terms: Iterative methods
Uncontrolled terms: Anatomical structures  -  Brainstem structures  -  Label fusions  -  Multilayer structures  -  Segmentation results  -  Sparse representation  -  State-of-the-art approach  -  Variation pattern
Classification code: 746 Imaging Techniques
Imaging Techniques
  -  921.6 Numerical Methods
Numerical Methods
DOI: 10.1016/j.patcog.2016.09.028
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2016 Elsevier Inc.
Data Provider: Engineering Village

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