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International Conference on Advanced Optoelectronics and Lasers (CAOL)

作者： Tetiana Pryhorovska Liubomyr Ropyak dept. of Engineering and Computer Graphics Ivano-Frankivsk National Technical University of Oil and Gas Ivano-Frankivsk Ukraine dept. of Computerized Engineering Ivano-Frankivsk National Technical University of Oil and Gas Ivano-Frankivsk Ukraine

ISBN: (数字)9781728118147

ISBN: (纸本)9781728118154

The study discusses the problem of deformation simulation and its compliance with measured data. The authors developed a laser triangulation device to measure deformations of thread joint details. The proposed measurement scheme is one of the easiest and cheapest, but provides all necessary measurements for thread surfaces contrary to other measuring devices. The developed device showed good validation with the simulated data.

关键词： Tools Steel Strain Measurement by laser beam Message systems Stress Data models

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In-dept. assessment of an interactive graph-based approach for the segmentation for pancreatic metastasis in ultrasound acquisitions of the liver with two specialists in internal medicine

arXiv

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arXiv 2018年

作者： Egger, Jan Schmalstieg, Dieter Bettac, Lucas Hänle, Mark Hann, Alexander Chen, Xiaojun Gräter, Tilmann Egger, Jan Zoller, Wolfram G. Hann, Alexander Institute for Computer Graphics Vision Graz University of Technology Graz Austria Dept. of Internal Medicine I Ulm University Ulm Germany School of Mechanical Engineering Shanghai Jiao Tong University Shanghai China Dept. of Diagnostic and Interventional Radiology Ulm University Ulm Germany BioTechMed-Graz Graz Austria Dept. of Internal Medicine and Gastroenterology Katharinenhospital Stuttgart Germany

The manual outlining of hepatic metastasis in (US) ultrasound acquisitions from patients suffering from pancreatic cancer is common practice. However, such pure manual measurements are often very time consuming, and the results repeatedly differ between the raters. In this contribution, we study the in-dept. assessment of an interactive graph-based approach for the segmentation for pancreatic metastasis in US images of the liver with two specialists in Internal Medicine. Thereby, evaluating the approach with over one hundred different acquisitions of metastases. The two physicians or the algorithm had never assessed the acquisitions before the evaluation. In summary, the physicians first performed a pure manual outlining followed by an algorithmic segmentation over one month later. As a result, the experts satisfied in up to ninety percent of algorithmic segmentation results. Furthermore, the algorithmic segmentation was much faster than manual outlining and achieved a median Dice Similarity Coefficient (DSC) of over eighty percent. Ultimately, the algorithm enables a fast and accurate segmentation of liver metastasis in clinical US images, which can support the manual outlining in daily practice. Copyright © 2018, The Authors. All rights reserved.

关键词： Graphic methods

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Evaluation of algorithms for multi-modality whole heart segmentation: An open-access grand challenge

arXiv

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arXiv 2019年

作者： Zhuang, Xiahai Li, Lei Payer, Christian Štern, Darko Urschler, Martin Heinrich, Mattias P. Oster, Julien Wang, Chunliang Smedby, Örjan Bian, Cheng Yang, Xin Heng, Pheng-Ann Mortazi, Aliasghar Bagci, Ulas Yang, Guanyu Sun, Chenchen Galisot, Gaetan Ramel, Jean-Yves Brouard, Thierry Tong, Qianqian Si, Weixin Liao, Xiangyun Zeng, Guodong Shi, Zenglin Zheng, Guoyan Wang, Chengjia MacGillivray, Tom Newby, David Rhode, Kawal Ourselin, Sebastien Mohiaddin, Raad Keegan, Jennifer Firmin, David Yang, Guang School of Data Science Fudan University Shanghai200433 China Fudan-Xinzailing Joint Research Center for Big Data Fudan University Shanghai200433 China School of Biomedical Engineering Shanghai Jiao Tong University Shanghai200240 China Institute of Computer Graphics and Vision Graz University of Technology Graz8010 Austria Ludwig Boltzmann Institute for Clinical Forensic Imaging Graz8010 Austria Institute of Medical Informatics University of Lubeck Lubeck23562 Germany Inserm Université de Lorraine U1254 IADI Nancy France School for Technology and Health KTH Royal Institute of Technology StockholmSE-10044 Sweden School of Biomed. Eng. Health Science Centre Shenzhen University Shenzhen518060 China Dept. of Comp. Sci. and Eng. Chinese University of Hong Kong Hong Kong China University of Central Florida Orlando32816 United States School of Computer Science and Engineering Southeast University Nanjing210096 China Université de Tours 64 avenue Jean Portalis Tours37200 France School of Computer Science Wuhan University Wuhan430072 China Guangdong Provincial Key Laboratory of Computer Vision and Virtual Reality Technology SIAT Shenzhen China Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen518055 China Institute for Surgical Technology & Biomechanics University of Bern Bern3014 Switzerland BHF Centre for Cardiovascular Science University of Edinburgh Edinburgh United Kingdom Edinburgh Imaging Facility QMRI University of Edinburgh Edinburgh United Kingdom Department of Imaging Sciences & Biomedical Engineering Kings College London London United Kingdom Cardiovascular Research Centre Royal Brompton Hospital LondonSW3 6NP United Kingdom National Heart and Lung Institute Imperial College London London LondonSW7 2AZ United Kingdom

Knowledge of whole heart anatomy is a prerequisite for many clinical applications. Whole heart segmentation (WHS), which delineates substructures of the heart, can be very valuable for modeling and analysis of the anatomy and functions of the heart. However, automating this segmentation can be arduous due to the large variation of the heart shape, and different image qualities of the clinical data. To achieve this goal, a set of training data is generally needed for constructing priors or for training. In addition, it is difficult to perform comparisons between different methods, largely due to differences in the datasets and evaluation metrics used. This manuscript presents the methodologies and evaluation results for the WHS algorithms selected from the submissions to the Multi-Modality Whole Heart Segmentation (MM-WHS) challenge, in conjunction with MICCAI 2017. The challenge provides 120 three-dimensional cardiac images covering the whole heart, including 60 CT and 60 MRI volumes, all acquired in clinical environments with manual delineation. Ten algorithms for CT data and eleven algorithms for MRI data, submitted from twelve groups, have been evaluated. The results show that many of the deep learning (DL) based methods achieved high accuracy, even though the number of training datasets were limited. A number of them also reported poor results in the blinded evaluation, probably due to overfitting in their training. The conventional algorithms, mainly based on multi-atlas segmentation, demonstrated robust and stable performance, even though the accuracy is not as good as the best DL method in CT segmentation. The challenge, including provision of the annotated training data and the blinded evaluation for submitted algorithms on the test data, continues as an ongoing benchmarking resource via its homepage (***/zhuangxiahai/0/mmwhs/). Copyright © 2019, The Authors. All rights reserved.

关键词： Heart

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Colorimetric analysis of screening technologies in digital printing 67

Colorimetric analysis of screening technologies in digital p...

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67th Annual Technical Conference of the Technical Association of the Graphic Arts, TAGA: Disseminating Graphic Arts Research Internationally since 1948

作者： Dharavath, H. Naik Snyder, Mark Department of Computer Electronics and Graphics Technology Central Connecticut State University New BritainCT06050 United States Dept. of Applied Engineering Safety and Technology Millersville University MillersvillePA17551-0302 United States

ISBN: (纸本)9781935185079

This research project was developed to investigate potential differences between Amplitude Modulated (AM) and Frequency Modulated (FM) screening of multicolor (CMYK) digital printing. The study examined the attributes of print contrast, dot gain, gray balance and color variation and how they may vary based on the screening method used. The experiment was conducted in a color managed digital printing workflow. Color differences were identified in print samples of AM vs. FM screening. Methods used to measure print attributes are detailed, and data was collected, graphed and analyzed. The study shows that measurable differences do exist and that visual changes in color can occur based on the screening method employed. A custom target was printed on the Konica-Minolta C6000 bizHub digital color press using Creo's AM and FM screening technologies. A pilot test was conducted to achieve the target toner density values (+/-0.10) according to in-house standards. During the pilot test, 200 sheets were printed. Once density values were achieved, the digital press was run continuously without operator interference and another 200 sheets were printed (100 sheets for each screening option), from which a total of 160 sheets were randomly selected (80 sheets for each screening option) for the densitometric and colorimetric analysis. Only attributes that measured patches made up of dots or screened tint percentages were used to compare the two screening technologies. Print attributes that utilize solid patches only were not compared. The findings of this study represent specific printing or testing conditions. The findings of this research led to the conclusion that FM screening provides greater print contrast than AM screening. The findings make it difficult to draw conclusions regarding dot gain. Further study is needed to attempt greater control of variables.

关键词： Color

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A survey on music retrieval systems using microphone input

A survey on music retrieval systems using microphone input

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Annual International Workshop on DAtabases, TExts, Specifications and Objects, DATESO 2015

作者： Maršík, Ladislav Pokorný, Jaroslav Ilčík, Martin Dept. of Software Engineering Faculty of Mathematics and Physics Charles University Malostranské nám. 25 Prague Czech Republic Institute of Computer Graphics and Algorithms Vienna University of Technology Favoritenstraße 9-11 Vienna Austria Vienna1040 Austria

Interactive music retrieval systems using microphone input have become popular, with applications ranging from whistle queries to robust audio search engines capable of retrieving music from a short sample recorded in noisy environment. The availability for mobile devices brought them to millions of users. Underlying methods have promising results in the case that user provides a short recorded sample and seeks additional information about the piece. Now, the focus needs to be switched to areas where we are still unable to satisfy the user needs. Such a scenario can be the choice of a favorite music performance from the set of covers, or recordings of the same musical piece, e.g. in classical music. Various algorithms have been proposed for both basic retrieval and more advanced use cases. In this paper we provide a survey of the state-of-the-art methods for interactive music retrieval systems, from the perspective of specific user requirements.

关键词： Search engines

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SystemC based simulation of AUTOSAR software components

SystemC based simulation of AUTOSAR software components

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International Conference on computer engineering and Systems

作者： Tariq S. Shatat Bassem A. Abdullah Ashraf Salem Micro Engineering roboVics Cairo Egypt Computer and Systems Engineering Dept. Ain Shams University Cairo Egypt Mentor Graphics Egypt Cairo Egypt

AUTOSAR is a software methodology commonly used in automotive software system design and implementation. It provides high level of abstraction for the designer through the concept of software components (SWC) and virtual function bus (VFB). Unfortunately, no mature simulation tool is available to simulate the system at the VFB level which disables evaluating the model before system integration. On the other hand, SystemC provides a framework to simulate, analyze, and verify software. Besides, it considers the timing behavior of hardware and communication buses. The similarities and analogies between SystemC modeling components and AUTOSAR software component (SWC) modeling encourages us to rely on SystemC to propose a flow to the designer of AUTOSAR system for timing simulation purpose. In this paper, we present a tool that uses SystemC simulation kernel to provide quick simulation for the designer of Automotive based systems.

关键词： Timing Unified modeling language Software Heating Actuators Temperature sensors

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Automated multi-contrast brain pathological area extraction from 2D MR images

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Journal of Applied Research and Technology 2015年第1期13卷 58-69页

作者： Dvořák, P. Bartušek, K. Kropatsch, W.G. Smékal, Z. Institute of Scientific Instruments of the ASCR V.v.i Academy if Sciences of the Czech Republic Brno Czech Republic Dept. of Telecommunications Faculty of Electrical Engineering and Communication Brno University of Technology Brno Czech Republic Pattern Recognition and Image Processing Group Institute of Computer Graphics and Algorithms Faculty of Informatics Vienna University of Technology Vienna Austria

The aim of this work is to propose the fully automated pathological area extraction from multi-parametric 2D MR images of brain. The proposed method is based on multi-resolution symmetry analysis and automatic thresholding. The proposed algorithm first detects the presence of pathology and then starts its extraction. T2 images are used for the presence detection and the multi-contrast MRI is used for the extraction, concretely T2 and FLAIR images. The extraction is based on thresholding, where Otsu's algorithm is used for the automatic determination of the threshold. Since the method is based on symmetry, it works for both axial and coronal planes. In both these planes of healthy brain, the approximate left-right symmetry exists and it is used as the prior knowledge for searching the approximate pathology location. It is assumed that this area is not located symmetrically in both hemispheres, which is met in most cases. The detection algorithm was tested on 203 T2-weighted images and reached the true positive rate of 87.52% and true negative rate of 93.14%. The extraction algorithm was tested on 357 axial and 443 coronal real images from publicly available BRATS databases containing 3D volumes brain tumor patients. The results were evaluated by Dice Coefficient (axial: 0.85 ± 0.11, coronal 0.82 ± 0.18) and by Accuracy (axial: 0.96 ± 0.05, coronal 0.94 ± 0.09). © 2015 Universidad Nacional Autónoma de México.

关键词： Brain Pathology Brain Tumor MRI Multi-contrast MRI Symmetry Analysis

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RFA-Cut: Semi-automatic Segmentation of Radiofrequency Ablation Zones with and without Needles via Optimal s-t-Cuts

RFA-Cut: Semi-automatic Segmentation of Radiofrequency Ablat...

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

作者： Jan Egger Harald Busse Philipp Brandmaier Daniel Seider Matthias Gawlitza Steffen Strocka Philip Voglreiter Mark Dokter Michael Hofmann Bernhard Kainz Xiaojun Chen Alexander Hann Pedro Boechat Wei Yu Bernd Freisleben Tuomas Alhonnoro Mika Pollari Michael Moche Dieter Schmalstieg Institute for Computer Graphics and Vision Graz University of Technology Austria Dept. of Diagnostic and Interventional Radiology Leipzig University Hospital Germany Dept. of Computing Imperial College London UK School of Mechanical Engineering Shanghai Jiao Tong University Shanghai China Dept. of Internal Medicine and Gastroenterology Katharinenhospital Stuttgart Germany Distributed Systems Group Philipp University of Marburg Germany School of Science Aalto University Espoo Finland

ISBN: (纸本)9781424492695

In this contribution, we present a semi-automatic segmentation algorithm for radiofrequency ablation (RFA) zones via optimal s-t-cuts. Our interactive graph-based approach builds upon a polyhedron to construct the graph and was specifically designed for computed tomography (CT) acquisitions from patients that had RFA treatments of Hepatocellular Carcinomas (HCC). For evaluation, we used twelve post-interventional CT datasets from the clinical routine and as evaluation metric we utilized the Dice Similarity Coefficient (DSC), which is commonly accepted for judging computer aided medical segmentation tasks. Compared with pure manual slice-by-slice expert segmentations from interventional radiologists, we were able to achieve a DSC of about eighty percent, which is sufficient for our clinical needs. Moreover, our approach was able to handle images containing (DSC=75.9%) and not containing (78.1%) the RFA needles still in place. Additionally, we found no statistically significant difference (p<0.423) between the segmentation results of the subgroups for a Mann-Whitney test. Finally, to the best of our knowledge, this is the first time a segmentation approach for CT scans including the RFA needles is reported and we show why another state-of-the-art segmentation method fails for these cases. Intraoperative scans including an RFA probe are very critical in the clinical practice and need a very careful segmentation and inspection to avoid under-treatment, which may result in tumor recurrence (up to 40%). If the decision can be made during the intervention, an additional ablation can be performed without removing the entire needle. This decreases the patient stress and associated risks and costs of a separate intervention at a later date. Ultimately, the segmented ablation zone containing the RFA needle can be used for a precise ablation simulation as the real needle position is known.

关键词： RFA decreases patient stress

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Thermal effects of heterogeneous interconnects on InP/GaN/Si diverse integrated circuits

Thermal effects of heterogeneous interconnects on InP/GaN/Si...

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International 3D Systems Integration Conference, 3DIC 2014

作者： Robert Harris, T. Franzon, Paul Rhett Davis, W. Wang, Lee Dept. of Electrical and Computer Engineering North Carolina State University RaleighNC27606 United States Calibre Design Solutions Mentor Graphics FremontCA94538 United States

ISBN: (纸本)9781479984725

The DAPRA Diverse Accessible Heterogeneous Integration (DAHI) initiative seeks to build capability in production of integrated semiconductor circuits of differing materials. Integration of materials such as GaN, InP, SiGe, and Si is a natural extension of the 3D-IC perspective and provides a unique solution for high performance circuits. In this approach, application of a component is no longer dependent on semiconductor material selection. In this paper, preliminary results are presented which examine the thermal performance of the technology. A thermal analysis prototype solution in Mentor graphics® Calibre® provides surface heat maps based on IC layout, material property, and geometric configuration files. Chiplets are connected by heterogeneous interconnect (HIC). Differences in thermal performance of GaN and InP chiplets are explored by varying the number of HICs. Two methods for building up the model of a test chip are compared. One method automatically places discrete blocks in the model to represent HICs, while the other uses thermal material properties extracted from the layout. © 2014 IEEE.

关键词： Gallium nitride

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A study on evolution of influence in online social networks

A study on evolution of influence in online social networks

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2013 International Conference on Advanced Computing and Communication Systems, ICACCS 2013

作者： Yeruva, Sujatha Devi, T. Samatha Reddy, Y. Department of Computer Science St.Francis College for Women Hyderabad16 India Dept. of Computer Applications Bharathiar University Coimbatore46 India Department of System Engineering NVIDIA Graphics Pvt Ltd Hyderabad46 India

ISBN: (纸本)9781479935062

Online social networks are gaining galloping upward momentum in a quick succession ever since from their inception as they lay a sturdy platform to share the information seeping into everyone who is concerned about it. In this spirited world substantial amount of success depends on how quickly one is able to reach out to the maximum number of people. There are very few who can have paramount consideration of influence on others. Crux of the problem is to pick right people whose influence is absolute in order to diffuse the influence with minimum effort. These seeding people can in turn be used to make an upward notion in areas like politics, all types of education including health and farming, introduce a product or service in the market, to revolutionize any formal setup environment of both private and public, training employees, changes in thinking patterns of the society and its life style, to propagate superior deliberations in the minds of people and likewise. In this paper Pareto front function is used to identify the eminent leaders which is followed by the empirical analysis of the results of evolution of their influence. © 2013 IEEE.

关键词： Social networking (online)

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