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arXiv 2018年

作者： Eberlein, Matthias Hildebrand, Raphael Tetzlaff, Ronald Hoffmann, Nico Kuhlmann, Levin Brinkmann, Benjamin Müller, Jens Technische Universität Dresden Faculty of Electrical and Computer Engineering Institute of Circuits and Systems Dresden01062 Germany Technische Universität Dresden Faculty of Computer Science Computer Graphics and Visualisation Dresden01062 Germany Faculty of Information Technology Monash University VIC Clayton3800 Australia Department of Medicine St Vincent's Hospital Melbourne VIC Fitzroy3065 Australia Mayo Systems Electrophysiology Laboratory Departments of Neurology and Biomedical Engineering Mayo Clinic RochesterMN55905 United States

Epilepsy is the most common neurological disorder and an accurate forecast of seizures would help to overcome the patient's uncertainty and helplessness. In this contribution, we present and discuss a novel methodology for the classification of intracranial electroencephalography (iEEG) for seizure prediction. Contrary to previous approaches, we categorically refrain from an extraction of hand-crafted features and use a convolutional neural network (CNN) topology instead for both the determination of suitable signal characteristics and the binary classification of preictal and interictal segments. Three different models have been evaluated on public datasets with long-term recordings from four dogs and three patients. Overall, our findings demonstrate the general applicability. In this work we discuss the strengths and limitations of our methodology. Copyright © 2018, The Authors. All rights reserved.

关键词： Electroencephalography

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Surface reconstruction with higher-order smoothness

arXiv

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arXiv 2017年

作者： Pan, Rongjiang Skala, Vaclav School of Computer Science and Technology Shandong University Jinan250100 China Centre of Computer Graphics and Data Visualization Department of Computer Science and Engineering University of West Bohemia Plzen Czech Republic

This work proposes a method to reconstruct surfaces with higher-order smoothness from noisy 3D measurements. The reconstructed surface is implicitly represented by the zero level-set of a continuous valued embedding function. The key idea is to find a function whose higher-order derivatives are regularized and whose gradient is best aligned with a vector field defined by the input point set. In contrast to methods based on the first-order variation of the function that are biased towards the constant functions and treat the extraction of the isosurface without aliasing artifacts as an afterthought, we impose higher-order smoothness directly on the embedding function. After solving a convex optimization problem with a multi-scale iterative scheme, a triangulated surface can be extracted using the marching cubes algorithm. We demonstrated the proposed method on several data sets obtained from raw laser-scanners and multi-view stereo approaches. Experimental results confirm that our approach allows us to reconstruct smooth surfaces from points in the presence of noise, outliers, large missing parts and very coarse orientation information. Copyright © 2017, The Authors. All rights reserved.

关键词： Convex optimization

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Identifying intracortical partial voluming effects using cortical surface normals in quantitative MRI T1 maps sensitive to microstructure

Identifying intracortical partial voluming effects using cor...

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Workshops on Image processing for the medicine, 2016

作者： Dinse, Juliane Schäfer, Andreas Bazin, Pierre-Louis Weiskopf, Nikolaus Max Planck Institute of Cognitive and Brain Science Leipzig Germany Simulation and Graphics Department Faculty of Computer Science Otto-von-Guericke University Magdeburg Germany Wellcome Trust Center for Neuroimaging Institute for Neurology University College London London United Kingdom

ISBN: (纸本)9783662494646

Partial voluming is a known problem in medical imaging. It occurs at high contrast edges between different structures. Image segmentation tasks can account for this type of effect to a certain degree, but residual intensity effects in structures located further away from affected edges remain. This paper focuses on partial volume (PV) effects at the interface between gray matter and cerebrospinal fluid in the brain when imaged using high-field magnetic resonance imaging (MRI). Here, we use cortical surface normals for spatially locating PV-induced effects on MRI measures of cortical microstructure. We demonstrate that especially in very narrow sulcal banks of the cortex, PV effects significantly influence cortical MRI intensities, but only up to a certain cortical depth. The method allows to investigate and better understand PV effects in the cortex to identify locations in which the MRI intensities can be fully trusted. The results may prove to be useful for future PV correction methods in brain segmentation. Also, cortical area studies may benefit from better PV estimation in order to yield more precise and confiding results on microstructure and areal extent. © Springer-Verlag Berlin Heidelberg 2016.

关键词： Magnetic resonance imaging

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Electronic controller design and fabrication for full-scale helicopter flight simulator at CCSU 55

Electronic controller design and fabrication for full-scale ...

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55th AIAA Aerospace sciences Meeting

作者： Broderick, David J. Wei, Fu-Shang John Ciccio, Jonathan Buffalini, Mario School of Engineering Science and Technology Computer Electronics & Graphics Technology Department CCSU Central Connecticut State University New BritainCT06050 United States School of Engineering Science and Technology Engineering Department CCSU Central Connecticut State University New BritainCT06050 United States

ISBN: (数字)9781624104473

ISBN: (纸本)9781624104473

A research team comprised of students and faculty from Central Connecticut State University's (CCSU) School of Engineering, science, and Technology has begun the design, production, and testing of a full-scale helicopter flight simulator with a moving platform. This paper presents the redesign of the control electronics for the platform. The hardware design includes a high-power circuit and a low-power microcontroller board. Both boards respond to the commands sent by flight simulator software X-plane ® to simulate helicopter flight. The purposes for conducting this research include: i) to build a fully functional flight simulator that can be used as a test bed for students research projects;ii) to encourage students and faculty members to use a clear design process in the design of hardware and software components to build a cost-effective flight simulator;iii) to provide students with hands-on experience on how to design and y a helicopter. CCSU students have built all of the mechanical systems. The basic design weflight for the simulator is 300 lbs force applied to the pilot seat. The structures are designed to have enough strength to sustain a maximum of 3g and a minimum -1g flight conditions. There are three actuators in place that can be used to rotate the platform in the pitching, rolling, and yawing directions. The electrical control system was redesigned, fabricated, and assembled by CCSU students. 80% of the sensors and actuators that comprise the simulator are now interfaced by CCSU student designed electronics. The electrical systems consist of a microcontroller board, three high-power H-bridge circuits, AC/DC power supplies, and three actuators. © 2017 by David J. Broderick, Fu-Shang (John) Wei, Jonathan Ciccio, and and Mario Buffalini. Published by the American Institute of Aeronautics and Astronautics, Inc.

关键词： Flight Simulators Helicopters Actuators Sensors Pilot Electrical Systems Control Systems Power Supplies Potentiometer Transient Response

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The interactive image: A media archaeology approach

The interactive image: A media archaeology approach

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ACM SIGGRAPH 2017 Art Gallery - International Conference on computer graphics and Interactive Techniques, SIGGRAPH 2017

作者： Bravo, Esteban García Burbano, Andrés Byrd, Vetria L. Forbes, Angus G. Purdue University Department of Computer Graphics Technology West LafayetteIN47907 United States Universidad de Los Andes Department of Design Cra 1 No. 18A-12 Bogotá111711 Colombia University of Illinois at Chicago Electronic Visualization Laboratory Department of Computer Science M/C 152 851 S Morgan Room 1120 ChicagoIL60607 United States

ISBN: (纸本)9781450349987

This paper examines the history of the influential Interactive Image computer graphics showcase, which took place at museum and conference venues from 1987 to 1988. The authors present a preliminary exploration of the historical contexts that led to the creation of this exhibition by the Electronic Visualization Lab (EVL), which included the integrated efforts of both artists and computer scientists. In addition to providing historical details about this event, the authors introduce a media archaeology approach for examining the cultural and technological contexts in which this event is situated. © 2017 Esteban García Bravo, Andr's Burbano, Vetria L. Byrd, Angus G. Forbes.

关键词： Exhibitions

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An extended probabilistic collaborative representation based classifier for image classification

An extended probabilistic collaborative representation based...

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IEEE International Conference on Multimedia and Expo (ICME)

作者： Rushi Lan Yicong Zhou Key Laboratory of Intelligent Processing of Computer Image and Graphics Guilin University of Electronic Technology Guilin China Department of Computer and Information Science University of Macau Macau China

ISBN: (纸本)9781509060689

Collaborative representation based classifier (CRC) and its probabilistic improvement ProCRC have achieved satisfactory performance in many image classification applications. They, however, do not comprehensively take account of the structure characteristics of the training samples. In this paper, we present an extended probabilistic collaborative representation based classifier (EProCRC) for image classification. Compared with CRC and ProCRC, the proposed EProCRC further considers a prior information that describes the distribution of each class in the training data. This prior information enlarges the margin between different classes to enhance the discriminative capacity of EProCRC. Experiments on two challenging databases, namely CUB200-2011 and Caltech-256, are conducted to evaluate EProCRC, and comparison results demonstrate that it outperforms several state-of-the-art classifiers.

关键词： Training Collaboration Probabilistic logic Training data Feature extraction Databases Robustness

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Visualizing software structures through enhanced interactive sunburst layout 16

Visualizing software structures through enhanced interactive...

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13th ACM International Working Conference on Advanced Visual Interfaces, AVI 2016

作者： Altarawneh, Ragaad Humayoun, Shah Rukh Department of Computer Science Mutah University Jordan Computer Graphics and HCI Group University of Kaiserslautern Germany

ISBN: (纸本)9781450341318

Visualizing large software system structure in compact representations would help software architects and analysts in understanding the overall software structure accurately and efficiently. Space-filling techniques (e.g., Sunburst or Tree-map) are nowadays used for producing compact representations of large hierarchical data. In this paper, we use the Sunburst layout with some enhancements to show the overall software system structure and the inside details in a compact visual form, in order to make it more readable for software architects and analysts. We also report some initial findings of the preliminary conducted evaluation study. © 2016 Copyright held by the owner/author(s).

关键词： Forestry

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Social-circles exploration through interactive multi-layered chord layout 16

Social-circles exploration through interactive multi-layered...

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13th ACM International Working Conference on Advanced Visual Interfaces, AVI 2016

作者： Humayoun, Shah Rukh Ezaiza, Hafez Altarawneh, Ragaad Ebert, Achim Computer Graphics and HCI Group University of Kaiserslautern Germany Department of Computer Science Mutah University Jordan

ISBN: (纸本)9781450341318

Due to the usage of social media platforms for different purposes in our current digital social life, people are interested to explore and understand their personal networks (called the ego networks) and how their contacts are associated with different social circles on these social media platforms. In this work, we propose an enhanced multi-layered Chord layout to show people' ego networks and the associated social circles in interactive visual forms. This proposed solution enables the users to explore intuitively how their contacts are associated to different social circles through a set of provided interaction and filtering options. © 2016 Copyright held by the owner/author(s).

关键词： Social networking (online)

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Analysis of normal human retinal vascular network architecture using multifractal geometry

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International Journal of Ophthalmology(English edition) 2017年第3期10卷 434-438页

作者： Stefan Talu Sebastian Stach Dan Mihai Calugaru Carmen Alina Lupascu Simona Delia Nicoara Discipline of Descriptive Geometry and Engineering Graphics Department of AETFaculty of Mechanical EngineeringTechnical University of Cluj-Napoca103-105 B-dul Muncii St.Cluj-Napoca 400641ClujRomania Department of Biomedical Computer Systems Institute of InformaticsFaculty of Computer Science and Materials ScienceUniversity of SilesiaBedzifiska 3941-205 SosnowiecPoland Discipline of Ophthalmology Department of Surgical Speci-alties and Medical ImagingFaculty of Medicine'Iuliu Halie-ganu'University of Medicine and Pharmacy Cluj-Napoca8 Victor Babes St.Cluj-Napoca 400012ClujRomania Department of Mathematics and Informatics University of PalermoVia Archirafi 34Palermo 90123Italy

AIM：To apply the multifractal analysis method as a quantitative approach to a comprehensive description of the microvascular network architecture of the normal human ***：Fifty volunteers were enrolled in this study in the Ophthalmological Clinic of Cluj-Napoca,Romania,between January 2012 and January 2014. A set of 100 segmented and skeletonised human retinal images,corresponding to normal states of the retina were studied. An automatic unsupervised method for retinal vessel segmentation was applied before multifractal analysis. The multifractal analysis of digital retinal images was made with computer algorithms,applying the standard boxcounting method. Statistical analyses were performed using the Graph Pad In Stat ***：The architecture of normal human retinal microvascular network was able to be described using the multifractal geometry. The average of generalized dimensions（D_q）for q=0,1,2,the width of the multifractal spectrum（Δα=α_（max）-α_（min））and the spectrum arms＇ heights difference（│Δf│）of the normal images were expressed as mean±standard deviation（SD）：for segmented versions,D_0=1.7014±0.0057; D_1=1.6507±0.0058; D_2=1.5772±0.0059; Δα=0.92441±0.0085; │Δf│= 0.1453±0.0051; for skeletonised versions,D_0=1.6303±0.0051; D_1=1.6012±0.0059; D_2=1.5531± 0.0058; Δα=0.65032±0.0162; │Δf│= 0.0238±0.0161. The average of generalized dimensions（D_q）for q=0,1,2,the width of the multifractal spectrum（Δα）and the spectrum arms＇ heights difference（│Δf│）of the segmented versions was slightly greater than the skeletonised ***：The multifractal analysis of fundus photographs may be used as a quantitative parameter for the evaluation of the complex three-dimensional structure of the retinal microvasculature as a potential marker for early detection of topological changes associated with retinal diseases.

关键词： generalized dimensions multifractal retinal vessel segmentation retinal image analysis retinal microvasculature standard box-counting method

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Flat Electroencephalography Image: Image Size Dependent Normalization versus Fuzzy Technique

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Journal of Physics: Conference Series 2019年第1期1358卷

作者： Suzelawati Zenian Tahir Ahmad Amidora Idris Department of Mathematics with Computer Graphics Faculty of Science and Natural Resources Universiti Malaysia Sabah Jalan UMS 88400 Kota Kinabalu Sabah Malaysia Centre for Sustainable Nanomaterials Ibnu Sina Institute for Scientific and Industrial Research Universiti Teknologi Malaysia 81310 UTM Johor Bahru Malaysia Department of Mathematical Sciences Faculty of Science Universiti Teknologi Malaysia 81310 UTM Johor Bahru Malaysia

Flat Electroencephalography (fEEG) is a method for mapping high dimensional signal, namely Electroencephalography (EEG) into a low dimensional space. The image of fEEG which is in grayscale form is obtained from digital fEEG by using fuzzy approach. The main aim of this paper is to reduce the spread of the vague boundary and improve the visibility of the clusters of epileptic foci in terms of contrast enhancement via Image Size Dependent Normalization (ISDN) and fuzzy technique. Contrast performance comparison between both methods are carried out for an epileptic patient at varied time, t. It shows that fuzzy method gives better contrast compared to ISDN.

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