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arXiv 2017年

作者： Li, Jian Moothathu, T.K. Subrahmonian Oprocha, Piotr Department of Mathematics Shantou University Shantou Guangdong515063 China Guangdong Provincial Key Laboratory of Digital Signal and Image Processing Techniques Shantou University Shantou Guangdong515063 China School of Mathematics and Statistics University of Hyderabad Hyderabad500 046 India AGH University of Science and Technology Faculty of Applied Mathematics AL. Mickiewicza 30 KrakÃ³ W30-059 Poland National Supercomputing Centre IT4 Innovations Division of the University of Ostrava Institute for Research and Applications of Fuzzy Modeling 30. Dubna 22 Ostrava70103 Czech Republic

We give a counterexample to Theorem 9 in "Syndetically proximal pairs"[J. Math. Anal. Appl. 379 (2011) 656-663]. We also provide sufficient conditions for the conclusion of Theorem 9 to hold. Copyright ©... 详细信息

关键词： Optimization

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Remote oil spill detection and monitoring beneath sea ice

Remote oil spill detection and monitoring beneath sea ice

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Living Planet Symposium 2016

作者： Polak, Adam Marshall, Stephen Ren, Jinchang Hwang, Byongjun Hagan, Bernard Stothard, David J.M. Centre for Signal and Image Processing University of Strathclyde 204 George Street GlasgowG1 1XW United Kingdom Scottish Marine Institute Oban Argyll ObanPA37 1QA United Kingdom Fraunhofer Centre for Applied Photonics Fraunhofer UK Research Ltd. 99 George Street GlasgowG1 1RD United Kingdom

ISBN: (纸本)9789292213053

The spillage of oil in Polar Regions is particularly serious due to the threat to the environment and the difficulties in detecting and tracking the full extent of the oil seepage beneath the sea ice. Development of fast and reliable sensing techniques is highly desirable. In this paper hyperspectral imaging combined with signal processing and classification techniques are proposed as a potential tool to detect the presence of oil beneath the sea ice. A small sample, lab based experiment, serving as a proof of concept, resulted in the successful identification of oil presence beneath the thin ice layer as opposed to the other sample with ice only. The paper demonstrates the results of this experiment that granted a financial support to execute full feasibility study of this technology for oil spill detection beneath the sea ice.

关键词： Sea ice

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Author Correction: The challenge of mapping the human connectome based on diffusion tractography

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Nature communications 2019年第1期10卷 5059页

作者： Klaus H Maier-Hein Peter F Neher Jean-Christophe Houde Marc-Alexandre Côté Eleftherios Garyfallidis Jidan Zhong Maxime Chamberland Fang-Cheng Yeh Ying-Chia Lin Qing Ji Wilburn E Reddick John O Glass David Qixiang Chen Yuanjing Feng Chengfeng Gao Ye Wu Jieyan Ma Renjie He Qiang Li Carl-Fredrik Westin Samuel Deslauriers-Gauthier J Omar Ocegueda González Michael Paquette Samuel St-Jean Gabriel Girard François Rheault Jasmeen Sidhu Chantal M W Tax Fenghua Guo Hamed Y Mesri Szabolcs Dávid Martijn Froeling Anneriet M Heemskerk Alexander Leemans Arnaud Boré Basile Pinsard Christophe Bedetti Matthieu Desrosiers Simona Brambati Julien Doyon Alessia Sarica Roberta Vasta Antonio Cerasa Aldo Quattrone Jason Yeatman Ali R Khan Wes Hodges Simon Alexander David Romascano Muhamed Barakovic Anna Auría Oscar Esteban Alia Lemkaddem Jean-Philippe Thiran H Ertan Cetingul Benjamin L Odry Boris Mailhe Mariappan S Nadar Fabrizio Pizzagalli Gautam Prasad Julio E Villalon-Reina Justin Galvis Paul M Thompson Francisco De Santiago Requejo Pedro Luque Laguna Luis Miguel Lacerda Rachel Barrett Flavio Dell'Acqua Marco Catani Laurent Petit Emmanuel Caruyer Alessandro Daducci Tim B Dyrby Tim Holland-Letz Claus C Hilgetag Bram Stieltjes Maxime Descoteaux Division of Medical Image Computing German Cancer Research Center (DKFZ) Heidelberg 69120 Germany. k.maier-hein@dkfz.de. Division of Medical Image Computing German Cancer Research Center (DKFZ) Heidelberg 69120 Germany. Sherbrooke Connectivity Imaging Lab (SCIL) Université de Sherbrooke Sherbrooke QC J1K 0A5 QC Canada. Department of Intelligent Systems Engineering School of Informatics and Computing Indiana University Bloomington IN 47408 USA. Krembil Research Institute University Health Network Toronto Canada M5G 2C4. Department of Neurological Surgery University of Pittsburgh School of Medicine Pittsburgh PA 15213 USA. IMT-Institute for Advanced Studies Lucca 55100 Italy. Department of Diagnostic Imaging St. Jude Children's Research Hospital Memphis TN 38105 USA. University of Toronto Institute of Medical Science Toronto Canada M5S 1A8. Institute of Information Processing and Automation Zhejiang University of Technology Hangzhou 310023 Zhejiang China. United Imaging Healthcare Co Shanghai 201807 China. Shanghai Advanced Research Institute Shanghai 201210 China. Laboratory of Mathematics in Imaging Harvard Medical School Boston MA 02215 USA. Center for Research in Mathematics Guanajuato 36023 Mexico. PROVIDI Lab Image Sciences Institute University Medical Center Utrecht Utrecht 3508 The Netherlands. Cardiff University Brain Research Imaging Centre School of Psychology Cardiff University Maindy Road Cardiff CF24 4HQ UK. Department of Radiology University Medical Center Utrecht Utrecht 3508 The Netherlands. Centre de recherche institut universitaire de geriatrie de Montreal (CRIUGM) Université de Montréal Montreal QC Canada H3W 1W5. Sorbonne Universités UPMC Univ Paris 06 CNRS INSERM Laboratoire d'Imagerie Biomédicale (LIB) 75013 Paris France. Center for Advanced Research in Sleep Medicine Hôpital du Sacré-Coeur de Montréal Montreal Canada H4J 1C5. Neuroimaging Unit Institute of Bioimaging and Molecular Physiology (IBFM) Nat

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

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Acoustic emission sonification and magnetic resonance imaging-based kinematics for exploratory analysis of knee joints

Acoustic emission sonification and magnetic resonance imagin...

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IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

作者： Lik-Kwan Shark Kai Huang Wei Quan John C. Waterton Michael A. Bowes John Goodacre Applied Digital Signal & Image Processing Research Centre University of Central Lancashire Preston UK Imorphics Ltd Manchester Science Park Manchester UK Biomedical Imaging Institute University of Manchester Manchester UK Lancaster Health Hub Lancaster University Lancaster UK

ISBN: (纸本)9781509016129

By combining two different measurement modalities, namely, acoustic emission (AE) and magnetic resonance imaging (MRI), this paper presents a novel auditory-visual software environment for exploratory analysis of knee joints. Using this tool, it becomes possible to listen to AE that is sonified to indicate surface friction among internal joint components during movement, examine patient-specific knee kinematics constructed from MRI to visualize surface contact areas between internal joint components during movement, and conduct integrated analysis of a knee joint by interactive and synchronized playback of sonified AE and animated joint movement, as well as perform comparative analysis of two different knee joints by using stereo sound and simultaneous display.

关键词： Magnetic analysis Magnetic resonance Bandwidth Kinematics Friction image edge detection Biomedical imaging

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The properties of the cornea based on hyperspectral imaging: Optical biomedical engineering perspective

The properties of the cornea based on hyperspectral imaging:...

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International Conference on Systems, signals and image processing, IWSSIP

作者： S. S. M. Noor K. Michael S. Marshall J. Ren J. Tschannerl F. J. Kao Centre of Excellent Signal and Image Processing E.E.E University of Strathclyde Glasgow Scotland United Kingdom Glasgow Centre for Ophthalmic Research Gartnavel General Hospital Glasgow Scotland United Kingdom Institute of Biophotonics National Yang-Ming University Taipei Taiwan

ISBN: (纸本)9781467395564

Biomedical engineering is a unique area that allows fusion between two distinct fields of engineering and medicine. The integration of efforts from both fields promises progress through acquisition of information from tissues, cells, and organs through non-invasive methods of assessment. Here we investigate the ability of a hyperspectral device in extracting data from tissues through the wavelength spectrum, in foreseeing its potential in clinical diagnostics by simplifying methods of examination by clinicians in detecting corneal injuries. Hyperspectral imaging using 400 to 1000nm visible wavelength was used to scan five porcine eyes (injured and non-injured). images were saved in three dimensional images of rows, columns, and depth slices at 1200 to 1300×804×604 and were processed. All laboratory works were performed in accordance with the general risk assessment of University of Strathclyde. In our results, analysis of the images reveals significant cue between 500 to 800nm bands in differentiating between injured and non-injured parts of the eye.

关键词： Hyperspectral imaging Cornea Reflectivity Injuries Surface waves Cameras

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Counting capillaries in nailfold capillaroscopy: State of the art and a proposed method

Counting capillaries in nailfold capillaroscopy: State of th...

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IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES)

作者： Abdolamir Karbalaie Alimohammad Fatemi Mahnaz Etehadtavakol Farhad Abtahi Zahra Emrani Björn-Erik Erlandsson Kungliga Tekniska Hogskolan Stockholm SE Department of Rheumatology Isfahan University of Medical Sciences Isfahan Iran Medical Image and Signal Processing Research Center Isfahan University of Medical Sciences Isfahan Iran School of Technology and Health Royal Institute of Technology (KTH) Stockholm Sweden Department of Clinical Science Karolinska Institute (KI) Scockholm Sweden

Capillaries play a crucial role in the microcircu-latory system by exchanging metabolic substrates and waste products between blood and various tissues. The behavior of capillaries is affiliated with the number of capillaries per unit volume of tissue. Among the various noninvasive techniques available for analyzing skin microcirculation, nailfold capillaroscopy is considered to be a simple and easy-to-perform technique that allows a direct in-vivo visualization of the capillary network. Capillary density is one of the most important parameters in the studies involving capillaroscopy images. Capillary density in most of studies is defined as the number of capillaries in one millimeter span of the distal row in each finger or toe. This definition is silent about counting or excluding the number of capillary with different shapes. However, there is no single standard for counting the number of capillaries in a span of one millimeter. In this paper, a novel method is proposed for determining the nailfold capillary density. This method is a modified combination of two existing techniques: the direct observation and the 90° method. Compared to the two existing approaches, the proposed method is more straightforward and easy to use for cases in which the capillaries have different shapes and sizes. Through different examples, we have shown how this method can be used to select the apex point of capillary and subsequently count the number of capillaries with several papillae.

关键词： Shape Skin Imaging Conferences Biomedical engineering Reliability Instruments

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Compressive Sampling for Spectral Imaging

Compressive Sampling for Spectral Imaging

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Conference on Lasers and Electro-Optics Europe

作者： L. Maidment A. Polak S. Marshall D. T. Reid Scottish Universities Physics Alliance (SUPA) Institute of Photonics and Quantum Sciences School of Engineering and Physical Sciences Heriot-Watt University Edinburgh EH14 4AS UK Centre for Signal & Image Processing University of Strathclyde 204 George Street Glasgow G1 1XW UK Fraunhofer Centre for Applied Photonics Fraunhofer UK Research Ltd 99 George Street Glasgow G1 1RD UK

ISBN: (纸本)9781509067374

Active spectral imaging in the mid-infrared can reveal absorption 'fingerprints' of different chemicals within a scene. The practicality of spectral imaging with active illumination is limited by the large number of images required (as the illumination wavelength or an interferometer mirror is scanned). Single pixel imaging uses the intensity reading from a single pixel detector while illuminating the scene with a series of speckle patterns, and reconstructs the image using a projection algorithm [1]. We have followed this approach, using an algorithm to reconstruct spectral information, rather than spatial.

关键词： Fourier transforms Ghost imaging Illumination Michelson interferometers Speckle patterns Spectral imaging

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Deterministic process-based generative models for characterizing packet-level bursty error sequences

Deterministic process-based generative models for characteri...

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作者： He, Yejun Salih, Omar S. Wang, Cheng-Xiang Yuan, Dongfeng College of Information Engineering Shenzhen University Shenzhen518060 China Joint Research Institute for Signal and Image Processing School of Engineering and Physical Sciences Heriot-Watt University EdinburghEH14 4AS United Kingdom School of Information Science and Engineering Shandong University Jinan Shandong250100 China

Errors encountered in digital wireless channels are not independent but rather form bursts or clusters. Error models aim to investigate the statistical properties of bursty error sequences at either packet level or bit level. Packet-level error models are crucial to the design and performance evaluation of high-layer wireless communication protocols. This paper proposes a general design procedure for a packet-level generative model based on a sampled deterministic process with a threshold detector and two parallel mappers. In order to assess the proposed method, target packet error sequences are derived by computer simulations of a coded enhanced general packet radio service system. The target error sequences are compared with the generated error sequences from the deterministic process-based generative model using some widely used burst error statistics, such as error-free run distribution, error-free burst distribution, error burst distribution, error cluster distribution, gap distribution, block error probability distribution, block burst probability distribution, packet error correlation function, normalized covariance function, gap correlation function, and multigap distribution. The deterministic process-based generative model is observed to outperform the widely used Markov models. Copyright © 2013 JohnWiley & Sons, Ltd.

关键词： Markov processes

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Gb/s single-LED OFDM-based VLC using violet and UV Gallium nitride μlEDs

Gb/s single-LED OFDM-based VLC using violet and UV Gallium n...

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IEEE Summer Topicals Meeting Series, SUM 2015

作者： McKendry, Jonathan J.D. Tsonev, Dobroslav Ferreira, Ricardo Videv, Stefan Griffiths, Alexander D. Watson, Scott Gu, Erdan Kelly, Anthony E. Haas, Harald Dawson, Martin D. Institute of Photonics Department of Physics University of Strathclyde GlasgowG4 0NW United Kingdom Institute for Digital Communications Joint Research Institute for Signal and Image Processing University of Edinburgh EdinburghEH9 3JL United Kingdom School of Engineering University of Glasgow GlasgowG12 8QQ United Kingdom

We present data transmission achieved using orthogonal frequency division multiplexing (OFDM) together with violet (405 nm) and ultraviolet (370 nm) micro-sized light-emitting diodes (μLEDs), at data rates of 3.32 an... 详细信息

ISBN: (纸本)9781479974689

关键词： Orthogonal frequency division multiplexing

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Improving the detection of mtbi via complexity analysis in resting - state magnetoencephalography

Improving the detection of mtbi via complexity analysis in r...

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IEEE International Workshop on Imaging Systems and Techniques (IST)

作者： Marios Antonakakis Stavros I. Dimitriadis Andrew C. Papanicolaou George Zouridakis Michalis Zervakis Digital Image and Signal Processing Laboratory School of Electronic and Computer Engineering Technical University of Crete Chania Greece Neuroinformatics Group Aristotle University Thessaloniki Greece Cardiff University Brain Research Imaging Centre (CUBRIC) School of Psychology Cardiff University Cardiff United Kingdom Departments of Pediatrics and Anatomy and Neurobiology University of Tennessee Health Science Center Memphis TN USA Neuroscience Institute Le Bonheur Children's Hospital Memphis TN USA Departments of Engineering Technology Computer Science Biomedical Engineering and Electrical and Computer Engineering University of Houston Houston TX USA

ISBN: (纸本)9781509018185

Diagnosis of mild Traumatic Brain Injury (mTBI) is difficult due to the variability of obvious brain lesions using imaging scans. A promising tool for exploring potential biomarkers for mTBI is magnetoencephalography which has the advantage of high spatial and temporal resolution. By adopting proper analytic tools from the field of symbolic dynamics like Lempel-Ziv complexity, we can objectively characterize neural network alterations compared to healthy control by enumerating the different patterns of a symbolic sequence. This procedure oversimplifies the rich information of brain activity captured via MEG. For that reason, we adopted neural-gas algorithm which can transform a time series into more than two symbols by learning brain dynamics with a small reconstructed error. The proposed analysis was applied to recordings of 30 mTBI patients and 50 normal controls in δ frequency band. Our results demonstrated that mTBI patients could be separated from normal controls with more than 97% classification accuracy based on high complexity regions corresponding to right frontal areas. In addition, a reverse relation between complexity and transition rate was demonstrated for both groups. These findings indicate that symbolic complexity could have a significant predictive value in the development of reliable biomarkers to help with the early detection of mTBI.

关键词： Complexity theory Time series analysis Sensitivity Integrated circuits Indexes Brain Laplace equations

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