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IEEE International Conference on Image Processing

作者： U. T. V. Nguyen A. Bhuiyan L. A. F. Park R. Kawasaki T. Y. Wong K. Ramamohanarao Department of Computing and Information Systems The University of Melbourne ICT Centre Commonwealth Scientific and Industrial Research Organization (CSIRO) School of Computing Engineering and Mathematics the University of Western Sydney Department of Public Health Yamagata University Faculty of Medicine Singapore Eye Research Institute National University of Singapore

ISBN: (纸本)9781479923427

Retinal vascular landmark points such as branching points and crossovers are important features for automatic retinal image matching and vascular abnormality detection. These landmark points can enable automatic screening of large dataset through the detection of vascular network abnormalities (i.e., arteriovenous nicking, retinal vein occlusion) which are important for hypertension and cardiovascular disease prediction. Existing methods for crossover point detection use only local information at each image pixel without considering vascular features to detect crossover positions. This leads to the misclassification of very acute crossovers which are represented by two bifurcation points in the skeleton image. In this article, we propose a robust method that utilizes both local information and vascular geometrical features at the crossing to distinguish crossover from non-crossover points in a retinal image. The proposed method was validated on fifteen high resolution retinal images and the results show that our method achieves higher accuracy than any existing methods. In particular, the proposed method can discover more than 74% (recall) of crossovers with a detection accuracy (fraction of detected crossover points that are correct) of 83% (precision). The detected crossovers provide essential results for the automatic detection of vascular network abnormalities, such as arteriovenous nicking, neovascularization, and retinal vein occlusion.

关键词： Retinal image Crossover point Vascular landmark point Blood vessel segmentation Skeletonization Retinal Image SKELETONIZATION Genetic Crossing Over automatic detection local information. images Retinal Vein Occlusion Retinal arteriovenous nipping Blood Vessels AUTOMATIC

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Automated Quantification of Retinal Arteriovenous Nicking from Colour Fundus Images

Automated Quantification of Retinal Arteriovenous Nicking fr...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society

作者： Uyen T. V. Nguyen Alauddin Bhuiyan Laurence A. F. Park Ryo Kawasaki Tien Y. Wong Jie J. Wang Paul Mitchell Kotagiri Ramamohanarao Department of Computing and Information Systems The University of Melbourne ICT Centre Commonwealth Scientific and Industrial Research Organization (CSIRO) School of Computing Engineering and Mathematics the University of Western Sydney Centre for Eye Research Australia University of Melbourne Centre for Vision Research Department of Ophthalmology Westmead Millennium Institute Centre for Vision Research Westmead Millennium Institute Department of Computing and Information Systems the University of Melbourne

ISBN: (纸本)9781457702150

Retinal arteriovenous nicking (AV nicking) is the phenomenon where the venule is compressed or decreases in its caliber at both sides of an arteriovenous crossing. Recent research suggests that retinal AVN is associated with hypertension and cardiovascular diseases such as stroke. In this article, we propose a computer method for assessing the severity level of AV nicking of an artery-vein (AV) crossing in color retinal images. The vascular network is first extracted using a method based on multi-scale line detection. A trimming process is then performed to isolate the main vessels from unnecessary structures such as small branches or imaging artefact. Individual segments of each vessel are then identified and the vein is recognized through an artery-vein identification process. A vessel width measurement method is devised to measure the venular caliber along its two segments. The vessel width measurements of each venular segment is then analyzed and assessed separately and the final AVN index of a crossover is computed as the most severity of its two segments. The proposed technique was validated on 69 AV crossover points of varying AV nicking levels extracted from retinal images of the Singapore Malay Eye Study (SiMES). The results show that the computed AVN values are highly correlated with the manual grading with a Spearman correlation coefficient of 0.70. This has demonstrated the accuracy of the proposed method and the feasibility to develop a computer method for automatic AV nicking detection. The quantitative measurements provided by the system may help to establish a more reliable link between AV nicking and known systemic and eye diseases, which deserves further examination and exploration.

关键词： Retinal arteriovenous nipping computer programs Retinaldehyde Width measurement Venules on line detection pressure vessels

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SPECTRAL METHOD FOR MIXED INHOMOGENEOUS BOUNDARY VALUE PROBLEMS IN THREE DIMENSIONS

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Journal of computational mathematics 2012年第6期30卷 579-600页

作者： Tianjun Wang Benyu Guo Wei Li Department of Mathematics Henan University of Science and Technology Luo Yang 471003 China Department of Mathematics Shanghai Normal University Shanghai 200235 China Scientific Computing Key Laboratory of Shanghai UniversitiesDivision of Computational Science of E-Institute of Shanghai Universities

In this paper, we investigate spectral method for mixed inhomogeneous boundary value problems in three dimensions. Some results on the three-dimensional Legendre approxima- tion in Jacobi weighted Sobolev space are established, which improve and generalize the existing results, and play an important role in numerical solutions of partial differential equations. We also develop a lifting technique, with which we could handle mixed inho- mogeneous boundary conditions easily. As examples of applications, spectral schemes are provided for three model problems with mixed inhomogeneous boundary conditions. The spectral accuracy in space of proposed algorithms is proved. Efficient implementations are presented. Numerical results demonstrate their high accuracy, and confirm the theoretical analysis well.

关键词： Three-dimensional Legendre approximation in Jacobi weighted Sobolev space,Lifting technique Spectral method for mixed inhomogeneous boundary value problems.

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A Fast Direct Solver for a Class of 3-D Elliptic Partial Differential Equation with Variable Coefficient

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Communications in computational Physics 2012年第9期12卷 1148-1162页

作者： Beibei Huang Bin Tu Benzhuo Lu Institute of Computational Mathematics and Scientific/Engineering Computing Academy of Mathematics and System SciencesAcademy of ScienceBeijing 100190P.R.China Departament d’Enginyeria Quíímica Universitat Rovirai VirgiliAvdels Päsos Catalans26 Tarragona 43007Spain

We propose a direct solver for the three-dimensional Poisson equation with a variable coefficient,and an algorithm to directly solve the associated sparse linear systems that exploits the sparsity pattern of the coefficient *** some appropriate finite difference operators,we derive a second-order scheme for the solver,and then two suitable high-order compact schemes are also *** a cube containing N nodes,the solver requires O(N^(3/2)log^(2)N)arithmetic operations and O(NlogN)memory to store the necessary *** efficiency is illustrated with examples,and the numerical results are analysed.

关键词： Fast solver direct method discrete Laplace operator fast matrix inversion

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Descope of the ALIA mission

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Journal of Physics: Conference Series 2015年第1期610卷

作者： Xuefei Gong Yun-Kau Lau Shengnian Xu Pau Amaro-Seoane Shan Bai Xing Bian Zhoujian Cao Gerui Chen Xian Chen Yanwei Ding Peng Dong Wei Gao Gerhard Heinzel Ming Li Shuo Li Fukun Liu Ziren Luo Mingxue Shao Rainer Spurzem Baosan Sun Wenlin Tang Yan Wang Peng Xu Pin Yu Yefei Yuan Xiaomin Zhang Zebing Zhou Institute of Applied Mathematics Academy of Mathematics and Systems Science Chinese Academy of Sciences No.55 Zhongguancun Donglu Beijing 100190 China Morningside Center of Mathematics Chinese Academy of Sciences No.55 Zhongguancun Donglu Beijing 100190 China State Key Laboratory of Scientific and Engineering Computing Academy of Mathematics and Systems Science Chinese Academy of Sciences No.55 Zhongguancun Donglu Beijing 100190 China State Key Laboratory of Theoretical Physics Institute of Theoretical Physics Chinese Academy of Sciences No.55 Zhongguancun Donglu Beijing 100190 China Max-Planck-Institut für Gravitationsphysik (Albert Einstein Institut) Am Mfühlenberg 1 D-14476 Potsdam Germany Theoretisch-Physikalisches Institut Friedrich-Schiller-Universität Jena Frobelstieg 1 D-07743 Jena Germany University of Chinese Academy of Sciences No.19A Yuquan Road Beijing 100049 China College of Applied Sciences Beijing University of Technology 100 Pingleyuan Beijing 100124 China Dongfanghong Small Satellite Company F12 Shenzhou Building No.31 Zhongguancun Nandajie Beijing 100081 China Max-Planck-Institut für Gravitationsphysik (Albert Einstein Institut) Callinstraße 38 D-30167 Hannover Germany National Astronomical Observatories Chinese Academy of Sciences 20A Datun Road Beijing 100012 China Department of Astronomy School of Physics Peking University No.5 Yiheyuan Road Beijing 100871 China The Kavli Institute for Astronomy and Astrophysics Peking University 5 Yiheyuan Road Beijing 100871 China Institute of Mechanics Chinese Academy of Sciences 15 Beisihuanxi Road Beijing 100190 China Astronomisches Rechen-Institut Zentrum für Astronomie Universität Heidelberg Mönchhofstrasse 12-14 69120 Heidelberg Germany School of Physics Huazhong University of Science and Technology 1037 Luoyu Road Wuhan 430074 China Institute of Theoretical Physics Chinese Academy of Sciences No.55 Zhongguancun Donglu Beijing 100190 China Mathematical Science Center Tsinghua Unive

The present work reports on a feasibility study commissioned by the Chinese Academy of Sciences of China to explore various possible mission options to detect gravitational waves in space alternative to that of the eLISA/LISA mission concept. Based on the relative merits assigned to science and technological viability, a few representative mission options descoped from the ALIA mission are considered. A semi-analytic Monte Carlo simulation is carried out to understand the cosmic black hole merger histories and the possible scientific merits of the mission options in probing the light seed black holes and their coevolution with galaxies in early Universe. The study indicates that, by choosing the armlength of the interferometer to be three million kilometers and shifting the sensitivity floor to around one-hundredth Hz, together with a very moderate improvement on the position noise budget, there are certain mission options capable of exploring light seed, intermediate mass black hole binaries at high redshift that are not readily accessible to eLISA/LISA, and yet the technological requirements seem to within reach in the next few decades for China.

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A modular lattice boltzmann solver for GPU computing processors

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SeMA Journal 2012年第1期59卷 53-78页

作者： Astorino, M. Sagredo, J. Becerra Quarteroni, A. CMCS Chair of Modelling and Scientific Computing MATHICSE Mathematics Institute of Computational Science and Engineering École Polytechnique Fédérale de Lausanne Station 8 Lausanne CH-1015 Switzerland Department of Mathematics Politecnico di Milano MOX Modeling and Scientific Computing Via Bonardi 9 Milano 20133 Italy

During the past two decades, the lattice Boltzmann method (LBM) has been increasingly acknowledged as a valuable alternative to classical numerical techniques (e.g. finite elements, finite volumes, etc.) in fluid dynamics. A distinguishing feature of LBM is undoubtedly its highly parallelizable data structure. In this work we present a general parallel LBM framework for graphic processing units (GPUs) characterized by a high degree of modularity and memory efficiency, still preserving very good computational performance. After recalling the essential programming principles of the CUDA C language for GPUs, the details of the implementation will be provided. The data structure here presented takes into account the intrinsic properties of the Gauss-Hermite quadrature rules (on which the LBM is based) to guarantee a unique and flexible framework for two- and three-dimensional problems. In addition, a careful implementation of a memory efficient formulation of the LBM algorithm has allowed to limit the high memory consumption that typically affects this computational method. Numerical examples in two and three dimensions illustrate the reliability and the performance of the code. © 2012, Sociedad Española de Matemática Aplicada.

关键词： CUDA GPU programming lattice Boltzmann method Navier-Stokes equations parallel computing

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Stochastic symplectic approximation for a linear system with additive noises

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IAENG International Journal of Applied mathematics 2012年第1期42卷 60-65页

作者： Wang, Lijin Hong, Jialin Scherer, Rudolf School of Mathematical Sciences Graduate University of Chinese Academy of Sciences Beijing 100049 China Institute of Computational Mathematics and Scientific Engineering Computing AMSS Chinese Academy of Sciences P.O.Box 2719 Beijing 100190 China 76131 Karlsruhe Germany

Two symplectic numerical integration methods, of mean-square order 1 and 2 respectively, for a linear stochastic oscillator with two additive noises are constructed via the stochastic generating function approach and ... 详细信息

关键词： Additive noise

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Uncertainty visualization in forward and inverse cardiac models

Uncertainty visualization in forward and inverse cardiac mod...

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Computers in Cardiology (CinC)

作者： Brett M Burton Burak Erem Kristin Potter Paul Rosen Chris R Johnson Dana H Brooks Rob S Macleod Bioengineering Department University of Utah Salt Lake City Utah USA Children's Hospital Computational Radiology Laboratory Boston MA USA Scientific computing and Imaaing Institute University of Utah Salt Lake City Utah USA Department of Electrical and Computer Engineering Northeastern University Boston MA USA

Quantification and visualization of uncertainty in cardiac forward and inverse problems with complex geometries is subject to various challenges. Specific to visualization is the observation that occlusion and clutter obscure important regions of interest, making visual assessment difficult. In order to overcome these limitations in uncertainty visualization, we have developed and implemented a collection of novel approaches. To highlight the utility of these techniques, we evaluated the uncertainty associated with two examples of modeling myocardial activity. In one case we studied cardiac potentials during the repolarization phase as a function of variability in tissue conductivities of the ischemic heart (forward case). In a second case, we evaluated uncertainty in reconstructed activation times on the epicardium resulting from variation in the control parameter of Tikhonov regularization (inverse case). To overcome difficulties associated with uncertainty visualization, we implemented linked-view windows and interactive animation to the two respective cases. Through dimensionality reduction and superimposed mean and standard deviation measures over time, we were able to display key features in large ensembles of data and highlight regions of interest where larger uncertainties exist.

关键词： Uncertainty Standards computational modeling Heart Inverse problems Conductivity Animation

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Human genome meeting 2016 : Houston, TX, USA. 28 February - 2 March 2016

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Human genomics 2016年第1期10 Suppl 1卷 12页

作者： A. K. Srivastava Y. Wang R. Huang C. Skinner T. Thompson L. Pollard T. Wood F. Luo R. Stevenson R. Polimanti J. Gelernter X. Lin I. Y. Lim Y. Wu A. L. Teh L. Chen I. M. Aris S. E. Soh M. T. Tint J. L. MacIsaac F. Yap K. Kwek S. M. Saw M. S. Kobor M. J. Meaney K. M. Godfrey Y. S. Chong J. D. Holbrook Y. S. Lee P. D. Gluckman N. Karnani A. Kapoor D. Lee A. Chakravarti C. Maercker F. Graf M. Boutros G. Stamoulis F. Santoni P. Makrythanasis A. Letourneau M. Guipponi N. Panousis M. Garieri P. Ribaux E. Falconnet C. Borel S. E. Antonarakis S. Kumar J. Curran J. Blangero S. Chatterjee J. Akiyama D. Auer C. Berrios L. Pennacchio T. R. Donti G. Cappuccio M. Miller P. Atwal A. Kennedy A. Cardon C. Bacino L. Emrick J. Hertecant F. Baumer B. Porter M. Bainbridge P. Bonnen B. Graham R. Sutton Q. Sun S. Elsea Z. Hu P. Wang Y. Zhu J. Zhao M. Xiong David A. Bennett A. Hidalgo-Miranda S. Romero-Cordoba S. Rodriguez-Cuevas R. Rebollar-Vega E. Tagliabue M. Iorio E. D’Ippolito S. Baroni B. Kaczkowski Y. Tanaka H. Kawaji A. Sandelin R. Andersson M. Itoh T. Lassmann Y. Hayashizaki P. Carninci A. R. R. Forrest C. A. Semple E. A. Rosenthal B. Shirts L. Amendola C. Gallego M. Horike-Pyne A. Burt P. Robertson P. Beyers C. Nefcy D. Veenstra F. Hisama R. Bennett M. Dorschner D. Nickerson J. Smith K. Patterson D. Crosslin R. Nassir N. Zubair T. Harrison U. Peters G. Jarvik F. Menghi K. Inaki X. Woo P. Kumar K. Grzeda A. Malhotra H. Kim D. Ucar P. Shreckengast K. Karuturi J. Keck J. Chuang E. T. Liu B. Ji A. Tyler G. Ananda G. Carter H. Nikbakht M. Montagne M. Zeinieh A. Harutyunyan M. Mcconechy N. Jabado P. Lavigne J. Majewski J. B. Goldstein M. Overman G. Varadhachary R. Shroff R. Wolff M. Javle A. Futreal D. Fogelman L. Bravo W. Fajardo H. Gomez C. Castaneda C. Rolfo J. A. Pinto K. C. Akdemir L. Chin S. Patterson C. Statz S. Mockus S. N. Nikolaev X. I. Bonilla L. Parmentier B. King F. Bezrukov G. Kaya V. Zoete V. Seplyarskiy H. Sharpe T. McKee K. Popadin N. Basset-Seguin R. Ben Chaabene M. Andrianova C. Verdan K. Grosdemange O. Sumara M. E JCSRI Greenwood Genetic Center Greenwood USA School of Computing Clemson University Clemson USA Biochemical Genetics Laboratory Greenwood Genetic Center Greenwood USA Department Psychiatry Yale Sch Med and VA CT Healthcare Center West Haven USA Department Genetics Yale Sch Med and VA CT Healthcare Center West Haven USA Department Neurobiology Yale Sch Med and VA CT Healthcare Center West Haven USA Singapore Institute for Clinical Sciences Singapore Singapore National University of Singapore Singapore Singapore University of British Columbia Vancouver Canada KK Women’s and Children’s Hospital Singapore Singapore University of Southampton and University Hospital Southampton NHS Foundation Trust Southampton UK University of Auckland Auckland New Zealand McKusick-Nathans Institute of Genetic Medicine Johns Hopkins University School of Medicine Baltimore USA Esslingen University of Applied Sciences Esslingen Germany German Cancer Research Center Heidelberg Germany Department of Genetic Medicine and Development University of Geneva Medical School Geneva Switzerland Geneva University Hospitals-HUG Service of Genetic Medicine Geneva Switzerland GE3 Institute of Genetics and Genomics of Geneva University of Geneva Medical School Geneva Switzerland South Texas Diabetes and Obesity Institute School of Medicine University of Texas Rio-Grande Valley Edinburg USA South Texas Diabetes and Obesity Institute School of Medicine University of Texas Rio-Grande Valley Brownsville USA Institute of Genetic Medicine Johns Hopkins University Baltimore USA Genomics Division Lawrence Berkeley National Laboratory Berkeley USA Molecular and Human Genetics Baylor College of Medicine Houston USA Department of Translational Medical Sciences Federico II University Naples Italy Metabolon Inc Durham USA Section of Pediatric Neurology and Neuroscience Baylor College of Medicine Houston USA Tawam Hospital Abu Dhabi United Arab Emirates Stanford Medical School Stanford USA Sch

O1 The metabolomics approach to autism: identification of biomarkers for early detection of autism spectrum disorder A. K. Srivastava, Y. Wang, R. Huang, C. Skinner, T. Thompson, L. Pollard, T. Wood, F. Luo, R. Stevenson O2 Phenome-wide association study for smoking- and drinking-associated genes in 26,394 American women with African, Asian, European, and Hispanic descents R. Polimanti, J. Gelernter O3 Effects of prenatal environment, genotype and DNA methylation on birth weight and subsequent postnatal outcomes: findings from GUSTO, an Asian birth cohort X. Lin, I. Y. Lim, Y. Wu, A. L. Teh, L. Chen, I. M. Aris, S. E. Soh, M. T. Tint, J. L. MacIsaac, F. Yap, K. Kwek, S. M. Saw, M. S. Kobor, M. J. Meaney, K. M. Godfrey, Y. S. Chong, J. D. Holbrook, Y. S. Lee, P. D. Gluckman, N. Karnani, GUSTO study group O4 High-throughput identification of specific qt interval modulating enhancers at the SCN5A locus A. Kapoor, D. Lee, A. Chakravarti O5 Identification of extracellular matrix components inducing cancer cell migration in the supernatant of cultivated mesenchymal stem cells C. Maercker, F. Graf, M. Boutros O6 Single cell allele specific expression (ASE) IN T21 and common trisomies: a novel approach to understand DOWN syndrome and other aneuploidies G. Stamoulis, F. Santoni, P. Makrythanasis, A. Letourneau, M. Guipponi, N. Panousis, M. Garieri, P. Ribaux, E. Falconnet, C. Borel, S. E. Antonarakis O7 Role of microRNA in LCL to IPSC reprogramming S. Kumar, J. Curran, J. Blangero O8 Multiple enhancer variants disrupt gene regulatory network in Hirschsprung disease S. Chatterjee, A. Kapoor, J. Akiyama, D. Auer, C. Berrios, L. Pennacchio, A. Chakravarti O9 Metabolomic profiling for the diagnosis of neurometabolic disorders T. R. Donti, G. Cappuccio, M. Miller, P. Atwal, A. Kennedy, A. Cardon, C. Bacino, L. Emrick, J. Hertecant, F. Baumer, B. Porter, M. Bainbridge, P. Bonnen, B. Graham, R. Sutton, Q. Sun, S. Elsea O10 A novel causal methylation network approach to Alzheimer’s

关键词： Pulmonary Arterial Hypertension Oral Squamous Cell Carcinoma Deep Neural Network Autosomal Recessive Polycystic Kidney Disease Whole Genome Bisulfite Sequencing

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Stochastic multi-symplectic wavelet collocation method for stochastic Hamiltonian Maxwell's equations

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AIP Conference Proceedings 2012年第1期1479卷 1753-1756页

作者： Jialin Hong Lihai Ji State Key Laboratory of Scientific and Engineering Computing Institute of Computational Mathematics and Scientific/Engineering Computing Academy of Mathematics and Systems Science Chinese Academy of Sciences P. O. Box 2719 100080 Beijing China State Key Laboratory of Scientific and Engineering Computing Institute of Computational Mathematics and Scientific/Engineering Computing Academy of Mathematics and Systems Science Chinese Academy of Sciences100080 Beijing China

In this paper, we investigate the model of three-dimensional (3D) stochastic multi-symplectic Hamiltonian Maxwell's equations, and consider the stochastic multi-symplectic numerical methods of solving such equations. In particular, multi-symplectic wavelet collocation method (MSWCM) is applied to such equations. It is shown that this multi-symplectic numerical method preserves not only the multi-symplectic structure, but also discrete energy conservation law under perfectly electric conducting boundary conditions.

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