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Comparative Analysis of Magnetic Resonance Fingerprinting Dictionaries via Dimensionality Reduction 1

1st International Workshop on Graph Learning in Medical Imaging, GLMI 2019 held in conjunction with the 22nd International Conference on Medical Image Computing and computer-Assisted Intervention, MICCAI 2019

作者： Dzyubachyk, Oleh Koolstra, Kirsten Pezzotti, Nicola Lelieveldt, Boudewijn P. F. Webb, Andrew Börnert, Peter Division of Image Processing Department of Radiology Leiden University Medical Center Leiden Netherlands C.J. Gorter Center for High Field MRI Department of Radiology Leiden University Medical Center Leiden Netherlands Computer Graphics and Visualization Group Delft University of Technology Delft Netherlands Philips Research Eindhoven Eindhoven Netherlands Intelligent Systems Department Delft University of Technology Delft Netherlands Philips Research Hamburg Hamburg Germany

ISBN: (数字)9783030358174

ISBN: (纸本)9783030358167

Quality assessment of different Magnetic Resonance Fingerprinting (MRF) sequences and their corresponding dictionaries remains an unsolved problem. In this work we present a method in which we approach analysis of MRF dictionaries by performing dimensionality reduction and representing them as low-dimensional point sets (embeddings). Dimensionality reduction was performed using a modification of the t-Distributed Stochastic Neighbor Embedding (t-SNE) algorithm. First, we demonstrated stability of calculated embeddings that allows neglecting the stochastic nature of t-SNE. Next, we proposed and analyzed two algorithms for comparing the embeddings. Finally, we performed two simulations in which we reduced the MRF sequence/dictionary in length or size and analyzed the influence of this reduction on the resulting embedding. We believe that this research can pave the way to development of a software tool for analysis, including better understanding, optimization and comparison, of different MRF sequences. © 2019, Springer Nature Switzerland AG.

关键词： Magnetic resonance

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A novel parallel algorithm for computing the mooring line based on lumped-mass method

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International Journal of Modeling, Simulation, and Scientific Computing 2017年第1期8卷 52-66页

作者： Zhong-Xian Zhu Yong Yin Muhammad Mobeen Movania Laboratory of Marine Simulation and ControlDalian Maritime University Linghai Road No.1 Dalian116026P.R.China Computer Graphics and Visualization Research Group DHA Suffa University 75500 KarachiPakistan

Dynamic modeling and simulation of the mooring system are the key technologies in anchor handling simulator(AHS).Built up the mooring line’s dynamics model based on lumped-mass method(LMM),and fourth-order Runge–Kutta method was used to solve the model;because of the huge amounts of calculation in the model’s solving,the very time-consuming process brings great impact on the real-time,fidelity and immersed feeling in the anchor handling scene simulation,seriously hindered its application in AHS.A novel parallel algorithm was proposed to speed-up the model’s solving process by taking the advantages of graphic processing units(GPU’s)massive parallel computing and float point computing *** model’s solving process was implemented on vertex shader based on the transform feedback(TF)mechanism in modern *** results show that,the new algorithm reduced the calculating time largely without losing accuracy,and can finally realize the real-time solving and simulation.

关键词： Anchor handling simulator mooring system lumped-mass method dynamics model parallel computing transform feedback mechanism

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Impact of Implementing Game Elements in Gamifying Educational Environment: A Study

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

作者： F Durin R Lee A Bade C K On N Hamzah Mathematics Graphics and Visualization Research Group (M-GRAVS) Faculty of Science and Natural Resources Universiti Malaysia Sabah 88450 Kota Kinabalu Sabah Malaysia Mathematics and Computer Graphics Faculty of Science and Natural Resources Universiti Malaysia Sabah Center of Excellence in Semantic Agents Universiti Malaysia Sabah Sabah Malaysia

Gamification is the use of game elements in a non-gaming environments. The aims of implementing game elements in gamifying educational environment is to make the learners engaged and motivated in the learning process. But, some of the research result giving bad impacts in implementing gamification in education. The objective of this research is to study the impact of implementing game elements in education. The aim of this research is to study which game elements is most commonly used in gamifying educational environment. The study is done by reviewing previous research on impacts of implementing game element in education from 2008 until 2018 to see whether the elements giving positive or negative impacts on education. The results shows the most common game elements used in gamification is rewards, feedback, challenge, quest/mission/goal, level/stage, point/score, avatars/players, task, character, time-limit, narrative/dialogue, leaderboards, progress bars, and badges. Majority of the research on gamification in education reports positive impacts by introducing gamification in education. In conclusion, by implementing game elements in the gamifying educational environment is a good method to create a good adjustment in learners' behavior and assertiveness in the learning process, it can develop engagement and motivation of the learners'.

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Procedural Generation of Traffic Signs 4

Procedural Generation of Traffic Signs

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4th Eurographics Workshop on Urban Data Modelling and Visualisation, UDMV 2016

作者： Taal, F.C. Bidarra, R. Computer Graphics and Visualization Group Delft University of Technology Netherlands

ISBN: (纸本)9783038680130

Procedurally-generated virtual urban worlds typically miss plausible signaling objects on the road network, unless they were manually inserted. We present a solution to the problem of procedurally populating a given urban road network with plausible traffic signs. Our tagged graph approach analyzes the road network using a rule-based reasoning mechanism that represents relevant traffic rules, in order to identify potential sign locations. Eventually, a context-based reduction step helps choose the most suitable candidates, taking into account a variety of real-world rules, and determines their actual place and orientation. We discuss the performance and validation of our approach, and conclude that its generality and flexibility make it a very convenient extension to many procedural urban environment applications. © 2016 The Author(s) Eurographics Proceedings © 2016 The Eurographics Association

关键词： Traffic signs

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Visualizing the central tendency of ensembles of shapes 16

Visualizing the central tendency of ensembles of shapes

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2016 SIGGRAPH ASIA Symposium on visualization, SA 2016

作者： Demir, Ismail Jarmea, Mihaela Westermann, Rüdiger Computer Graphics and Visualization Group Technische Universitüt München Germany

ISBN: (纸本)9781450345477

We propose a new approach for analyzing the central tendency (centrality) of an ensemble of shapes in 2D or 3D space. Our approach provides means to determine the most central shape from a given set of shapes, to quantify the region-wise centrality of the shapes, and to compute a locally most representative shape. Unlike previous approaches, which build upon binary functions or signed distance fields to locate domain points with respect to orientable shapes, we introduce a closest point representation for the analysis of ensembles of shapes. By using this representation, our approach can handle arbitrary non-parametric shapes regardless of dimension and orientability. Shapes are first converted into an implicit representation based on vectors to closest surface points, and the resulting directional distributions are then used to perform region-wise classifications. Shapes are either analyzed separately by evaluating the classifications over the shape, or additional fields are derived from these classifications, in which specific shapes like the locally best mean are given as level-sets. We demonstrate the effectiveness of our approach on synthetic and weather forecast ensembles in 2D and 3D. © 2016 Copyright held by the owner/author(s).

关键词： visualization

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Comparative cellular analysis of motor cortex in human, marmoset and mouse (vol 598, pg 111, 2021)

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NATURE 2022年第7904期604卷 E8-E8页

作者： Bakken, Trygve E. Jorstad, Nikolas L. Hu, Qiwen Lake, Blue B. Tian, Wei Kalmbach, Brian E. Crow, Megan Hodge, Rebecca D. Krienen, Fenna M. Sorensen, Staci A. Eggermont, Jeroen Yao, Zizhen Aevermann, Brian D. Aldridge, Andrew I. Bartlett, Anna Bertagnolli, Darren Casper, Tamara Castanon, Rosa G. Crichton, Kirsten Daigle, Tanya L. Dalley, Rachel Dee, Nick Dembrow, Nikolai Diep, Dinh Ding, Song-Lin Dong, Weixiu Fang, Rongxin Fischer, Stephan Goldman, Melissa Goldy, Jeff Graybuck, Lucas T. Herb, Brian R. Hou, Xiaomeng Kancherla, Jayaram Kroll, Matthew Lathia, Kanan van Lew, Baldur Li, Yang Eric Liu, Christine S. Liu, Hanqing Lucero, Jacinta D. Mahurkar, Anup McMillen, Delissa Miller, Jeremy A. Moussa, Marmar Nery, Joseph R. Nicovich, Philip R. Niu, Sheng-Yong Orvis, Joshua Osteen, Julia K. Owen, Scott Palmer, Carter R. Pham, Thanh Plongthongkum, Nongluk Poirion, Olivier Reed, Nora M. Rimorin, Christine Rivkin, Angeline Romanow, William J. Sedeno-Cortes, Adriana E. Siletti, Kimberly Somasundaram, Saroja Sulc, Josef Tieu, Michael Torkelson, Amy Tung, Herman Wang, Xinxin Xie, Fangming Yanny, Anna Marie Zhang, Renee Ament, Seth A. Behrens, M. Margarita Bravo, Hector Corrada Chun, Jerold Dobin, Alexander Gillis, Jesse Hertzano, Ronna Hof, Patrick R. Hollt, Thomas Horwitz, Gregory D. Keene, C. Dirk Kharchenko, Peter V. Ko, Andrew L. Lelieveldt, Boudewijn P. Luo, Chongyuan Mukamel, Eran A. Pinto-Duarte, Antonio Preiss, Sebastian Regev, Aviv Ren, Bing Scheuermann, Richard H. Smith, Kimberly Spain, William J. White, Owen R. Koch, Christof Hawrylycz, Michael Tasic, Bosiljka Macosko, Evan Z. McCarroll, Steven A. Ting, Jonathan T. Zeng, Hongkui Zhang, Kun Feng, Guoping Ecker, Joseph R. Linnarsson, Sten Lein, Ed S. Allen Institute for Brain Science Seattle WA USA Department of Physiology and Biophysics University of Washington Seattle WA USA Department of Biomedical Informatics Harvard Medical School Boston MA USA Department of Bioengineering University of California San Diego La Jolla CA USA The Salk Institute for Biological Studies La Jolla CA USA Epilepsy Center of Excellence Department of Veterans Affairs Medical Center Seattle WA USA Stanley Institute for Cognitive Genomics Cold Spring Harbor Laboratory Cold Spring Harbor NY USA Department of Genetics Harvard Medical School Boston MA USA Broad Institute of MIT and Harvard Cambridge MA USA LKEB Department of Radiology Leiden University Medical Center Leiden The Netherlands Pattern Recognition and Bioinformatics group Delft University of Technology Delft The Netherlands J. Craig Venter Institute La Jolla CA USA Department of Pathology University of California San Diego CA USA Division of Vaccine Discovery La Jolla Institute for Immunology La Jolla CA USA Genomic Analysis Laboratory The Salk Institute for Biological Studies La Jolla CA USA Computer Science and Engineering Program University of California San Diego La Jolla CA USA Howard Hughes Medical Institute The Salk Institute for Biological Studies La Jolla CA USA Bioinformatics and Systems Biology Graduate Program University of California San Diego La Jolla CA USA Institute for Genomes Sciences University of Maryland School of Medicine Baltimore MD USA Center for Epigenomics Department of Cellular and Molecular Medicine University of California San Diego La Jolla CA USA Ludwig Institute for Cancer Research La Jolla CA USA Department of Computer Science University of Maryland College Park College Park MD USA Sanford Burnham Prebys Medical Discovery Institute La Jolla CA USA Biomedical Sciences Program School of Medicine University of California San Diego La Jolla CA USA University of Connecticut Storrs CT USA Department

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3rd International Workshop on visualization in Medicine and Life Sciences, VMLS 2013

作者： Fangerau, Jens Höckendorf, Burkhard Rieck, Bastian Heine, Christian Wittbrodt, Joachim Leitte, Heike Computer Graphics and Visualization Heidelberg University Heidelberg Germany Centre for Organismal Studies Heidelberg University Heidelberg Germany Scientific Visualization Group ETH Zürich Zürich Switzerland

ISBN: (纸本)9783319245218

Automatic feature tracking is widely used for the analysis of timedependent data. If the features exhibit splitting behavior, it is best characterized by tree-like tracks. For a large number of time steps, each with numerous features, these data become increasingly difficult to analyze. In this paper, we focus on the problem of comparing and contrasting hundreds to thousands of trees to support developmental biologists in their study of cell division patterns in embryos. To this end, we propose a new visual analytics method called structure map. This two-dimensional, color-coded map arranges trees into tiles along a Hilbert curve, preserving a tree similarity measure, which we define via graph Laplacians. The structure map supports both global and local analysis based on user-selected tree descriptors. It helps analysts identify similar trees, observe clustering and sizes of clusters within the forest, and detect outliers in a compact and uniform representation. We apply the structure map for analyzing 3D cell tracking from two periods of zebrafish embryogenesis: blastulation to early epiboly and tailbud extension. In both cases, we show how the structure map supported biologists to find systematic differences in the data set as well as detect erroneous cell behaviors. © Springer International Publishing Switzerland 2016.

关键词： Cell proliferation

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Visual exploration of hierarchical data using degree-of-interest controlled by eye-tracking 9

Visual exploration of hierarchical data using degree-of-inte...

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9th Forum Media Technology, FMT 2016 and 2nd All Around Audio Symposium 2016

作者： Silva, Nelson Shao, Lin Schreck, T. Eggeling, Eva Fellner, Dieter W. Institute for Computer Graphics and Knowledge Visualization Graz University of Technology Austria Fraunhofer Austria Research GmbH Austria Interactive Graphics Systems Group Technische Universitaet Darmstadt Fraunhofer IGD Germany

Effective visual exploration of large data sets is an important problem. A standard technique for mapping large data sets is to use hierarchical data representations (trees, or dendrograms) that users may navigate. If the data sets get large, so do the hierarchies, and e?ective methods for the navigation are required. Traditionally, users navigate visual representations using desktop interaction modalities, including mouse interaction. Motivated by recent availability of lowcost eye-tracker systems, we investigate application possibilities to use eye-tracking for controlling the visual-interactive data exploration process. We implemented a proof-ofconcept system for visual exploration of hierarchic data, exemplified by scatter plot diagrams which are to be explored for grouping and similarity relationships. The exploration includes usage of degree-of-interest based distortion controlled by user attention read from eye-movement behavior. We present the basic elements of our system, and give an illustrative use case discussion, outlining the application possibilities. We also identify interesting future developments based on the given data views and captured eye-tracking information. Copyright © 2016 by the paper's authors.

关键词： Eye tracking

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Age range estimation based on facial wrinkle analysis using hessian based filter 2nd

Age range estimation based on facial wrinkle analysis using ...

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2nd International Conference on Communication and computer Engineering, ICOCOE 2015

作者： Razalli, Husniza Rahmat, Rahmita Wirza O. K. Khalid, Fatimah Sulaiman, Puteri Suhaiza Signal Processing Lab TM Research and Development Cyberjaya Selangor Malaysia Computer Graphics Vision and Visualization Research Group Universiti Putra Malaysia Serdang Selangor Malaysia

ISBN: (纸本)9783319245829

Aging is a normal process that has an effect on different parts of the human body under the influence of various biological and environmental aspects. The most prominent changes that occur on the face are the form of the skin wrinkles, which are the main objective of this research. Specific wrinkle detection is an important task in face textural analysis. Previously, some researchers have been proposed the age range estimation based on wrinkle analysis in literature, but poor localization limits the performance of the whole age estimation process. This is because, when less number of wrinkles are detected or extracted, it will consequently affect the process to estimate the correct age. Therefore, we address this issue to enhance age range estimation method using a new approach to extract correct facial wrinkles for further analysis. We propose a method to extract facial wrinkle in face image using Hessian based filter (HBF) for age estimation. In other word, this research focus on age range estimation method based on facial wrinkle analysis extracted from facial image obtained from FG-NET database using hessian based filter. The proposed filter is theoretically straightforward, however, it significantly increases the wrinkle analysis result compared to previous methods. The result shows that HBF successfully obtained higher accuracy with over 90 % estimation rate. © Springer International Publishing Switzerland 2016.

关键词： Bandpass filters

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Screen-space silhouettes for visualizing ensembles of 3D isosurfaces

Screen-space silhouettes for visualizing ensembles of 3D iso...

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Pacific (formerly Asia-Pacific APVIS) visualization Symposium

作者： Ismail Demir Johannes Kehrer Rüdiger Westermann Computer Graphics and Visualization Group Technische Universität München Germany

Visualizing sets of isosurfaces from 3D scalar ensemble fields is a difficult task due to inherent occlusion effects, yet it is often required to analyze the uncertainty represented by such an ensemble. In this paper, we present a novel visualization technique for ensembles of isosurfaces based on screen-space silhouettes. By using silhouettes, the displayed information is reduced to avoid occlusions, yet the major shape of the surfaces can be maintained. Our approach preserves spatial coherence and does not make any assumption about the underlying surface distribution. By providing additional mechanisms, i.e., picking, clustering, cutting and animation, we enable the user to explore an ensemble of surfaces interactively.

关键词： Rendering (computer graphics) Three-dimensional displays Isosurfaces Context Image color analysis Clustering algorithms

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