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Robust computation of subcortical functional connectivity guided by quantitative susceptibility mapping: An application in Parkinson's disease diagnosis

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NeuroImage 2025年 314卷 121256-121256页

作者： Qin, Jianmei Wu, Haoting Wu, Chenqing Guo, Tao Zhou, Cheng Duanmu, Xiaojie Tan, Sijia Wen, Jiaqi Zheng, Qianshi Yuan, Weijin Zhu, Zihao Chen, Jingwen Wu, Jingjing He, Chenyu Ma, Yiran Liu, Chunlei Xu, Xiaojun Guan, Xiaojun Zhang, Minming Department of Radiology the Second Affiliated Hospital Zhejiang University School of Medicine Hangzhou China Joint Laboratory of Clinical Radiology the Second Affiliated Hospital Zhejiang University School of Medicine Hangzhou China State Key Laboratory of Computer-aided Design & Computer Graphics Zhejiang University College of Computer Science and technology Hangzhou China State Key Laboratory of Industrial Control Technology Zhejiang University College of Control Science and Engineering Hangzhou China Department of Electrical Engineering and Computer Sciences University of California Berkeley CA United States Helen Wills Neuroscience Institute University of California Berkeley CA United States

Previous resting state functional MRI (rs-fMRI) analyses of the basal ganglia in Parkinson's disease heavily relied on T1-weighted imaging (T1WI) atlases. However, subcortical structures are characterized by subtle contrast differences, making their accurate delineation challenging on T1WI. In this study, we aimed to introduce and validate a method that incorporates quantitative susceptibility mapping (QSM) into the rs-fMRI analytical pipeline to achieve precise subcortical nuclei segmentation and improve the stability of RSFC measurements in Parkinson's disease. A total of 321 participants (148 patients with Parkinson's Disease and 173 normal controls) were enrolled. We performed cross-modal registration at the individual level for rs-fMRI to QSM (FUNC2QSM) and T1WI (FUNC2T1), *** consistency and accuracy of resting state functional connectivity (RSFC) measurements in two registration approaches were assessed by intraclass correlation coefficient and mutual information. Bootstrap analysis was performed to validate the stability of the RSFC differences between Parkinson's disease and normal controls. RSFC-based machine learning models were constructed for Parkinson's disease classification, using optimized hyperparameters (RandomizedSearchCV with 5-fold cross-validation). The consistency of RSFC measurements between the two registration methods was poor, whereas the QSM-guided approach showed better mutual information values, suggesting higher registration accuracy. The disruptions of RSFC identified with the QSM-guided approach were more stable and reliable, as confirmed by bootstrap analysis. In classification models, the QSM-guided method consistently outperformed the T1WI-guided method, achieving higher test-set ROC-AUC values (FUNC2QSM: 0.87–0.90, FUNC2T1: 0.67–0.70). The QSM-guided approach effectively enhanced the accuracy of subcortical segmentation and the stability of RSFC measurement, thus facilitating future biomarker development in Parkinso

关键词： Parkinson's disease Quantitative susceptibility mapping Resting-state functional connectivity Subcortical nuclei

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Construct3D: A virtual reality application for mathematics and geometry education

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Education and Information Technologies 2000年第4期5卷 263-276页

作者： Kaufmann, Hannes Schmalstieg, Dieter Wagner, Michael Institute of Geometry Vienna University of Technology Austria 3370 Ybbs/Donau Lange Gasse 3 Austria Institute of Computer Graphics Vienna University of Technology Austria Department of Computer Science and Engineering Arizona State University United States

Construct3D is a three dimensional geometric construction tool based on the collaborative augmented reality system 'Studierstube'. Our setup uses a stereoscopic head mounted display (HMD) and the Personal Interaction Panel (PIP) - a two-handed 3D interaction tool that simplifies 3D model interaction. Means of application in mathematics and geometry education at high school as well as university level are being discussed. A pilot study summarizes the strengths and possible extensions of our system. Anecdotal evidence supports our claim that the use of Construct3D is easy to learn and encourages experimentation with geometric constructions. © 2000 Kluwer Academic Publishers.

关键词： 3D modelling Enhancing spatial abilities Geometry education User-interface design Virtual reality

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Maintaining integrity in complex shape definitions 15

Maintaining integrity in complex shape definitions

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15th Design Automation Conference, DAC 1978

作者： Baer, Adrian E. New Jersey Institute of Technology Department of Computer and Information Science Interactive Graphics Laboratory NewarkNJ07102 United States

A method is discussed for combining flexibility in defining 3-dimensional geometric shape with system maintained integrity. Such capabilities allow the user to concentrate on local considerations in modifying design databases in an interactive environment. © 2017 institute of Electrical and Electronics Engineers Inc. All rights reserved.

关键词： computer aided design

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Coarse to fine vertebrae localization and segmentation with spatialconfiguration-Net and U-Net 15

Coarse to fine vertebrae localization and segmentation with ...

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15th International Joint Conference on computer Vision, Imaging and computer graphics Theory and Applications, VISIGRAPP 2020

作者： Payer, Christian Štern, Darko Bischof, Horst Urschler, Martin Ludwig Boltzmann Institute for Clinical Forensic Imaging Graz Austria Institute of Computer Graphics and Vision Graz University of Technology Graz Austria School of Computer Science University of Auckland Auckland New Zealand

ISBN: (纸本)9789897584022

Localization and segmentation of vertebral bodies from spine CT volumes are crucial for pathological diagnosis, surgical planning, and postoperative assessment. However, fully automatic analysis of spine CT volumes is difficult due to the anatomical variation of pathologies, noise caused by screws and implants, and the large range of different field-of-views. We propose a fully automatic coarse to fine approach for vertebrae localization and segmentation based on fully convolutional CNNs. In a three-step approach, at first, a U-Net localizes the rough position of the spine. Then, the SpatialConfiguration-Net performs vertebrae localization and identification using heatmap regression. Finally, a U-Net performs binary segmentation of each identified vertebrae in a high resolution, before merging the individual predictions into the resulting multi-label vertebrae segmentation. The evaluation shows top performance of our approach, ranking first place and winning the MICCAI 2019 Large Scale Vertebrae Segmentation Challenge (VerSe 2019). Copyright © 2020 by SCITEPRESS – science and Technology Publications, Lda. All rights reserved

关键词： computerized tomography

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Functional modelling and simulation of overall system ship-virtual methods for engineering and commissioning in shipbuilding 29

Functional modelling and simulation of overall system ship-v...

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29th European Conference on Modelling and Simulation, ECMS 2015

作者： Berndt, Olaf Von Lukas, Uwe Freiherr Kuijper, Arjan Fraunhofer Institute for Computer Graphics Research IGD Joachim-Jungius-Straße 11 Rostock18059 Germany University of Rostock Faculty of Computer Science and Electrical Engineering Albert-Einstein-Str. 22 Rostock18059 Germany Fraunhofer Institute for Computer Graphics Research IGD Fraunhoferstr. 5 Darmstadt64283 Germany

ISBN: (纸本)9780993244001

Shipbuilding industry is undergoing a change, in which many European shipyards focus on special purpose vessels. This field of shipbuilding places very high demands on engineering, commissioning and operation of the vessels. To support these fields of activity with virtual methods an innovative approach is introduced which strengthens the shipbuilding process by using a uniform common model of the overall system ship. The model is steadily increasing and gets more detailed through the phases of the shipbuilding. The presented approach fills the gap in the virtual support of the complete shipbuilding process, taking into account the specific structural needs-short time, high cost pressure and high quality demands. © ECMS Valeri M. Mladenov, Petia Georgieva, Grisha Spasov, Galidiya Petrova (Editors).

关键词： Shipbuilding

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Influence of camera properties on image analysis in visual tunnel surveillance

Influence of camera properties on image analysis in visual t...

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8th International IEEE Conference on Intelligent Transportation Systems

作者： Pflugfelder, Roman Bischof, Horst Domínguez, Gustave Fernández Nölle, Michael Schwabach, Helmut ARC Seibersdorf Research GmbH A-2444 Seibersdorf Austria Institute for Computer Graphics and Vision Graz University of Technology Inffeldgasse 16/II A-8010 Graz Austria

ISBN: (纸本)0780392159

CCTV and image analysis systems for automatic incident detection are major tools in tunnel safety management. This paper presents results of a feasibility study called VITUS-1. Among others, one aim of VITUS-1 was to compare image analysis methods for robust object detection, tracking and incident detection. Image quality improvements were shown by using digital camera technology instead of state-of-the-art analogue CCTV. To improve image quality and robustness of existing image analysis methods, requirements on several camera properties were defined. We want to sensitise primarily tunnel operators and tunnel CCTV experts that commercial image analysis systems usually do not claim such requirements, e.g. requirements on resolution. This paper shows with a simple camera model that a robust detection of test objects is hardly feasible with typical tunnel CCTV (PAL resolution, 20° viewing angle, 212m camera distance). As a consequence, the specifications of tunnel CCTV should be adjusted to the needs of image analysis systems. Simple experiments with real video data show the applicability of the camera model. © 2005 IEEE.

关键词： Image analysis

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Web-based visualisations supporting rehabilitation of heart failure patients by promoting behavioural change

Web-based visualisations supporting rehabilitation of heart ...

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34th Australasian computer science Conference, ACSC 2011

作者： Fischer, Susanne Wünsche, Burkhard C. Cameron, Linda Morunga, Eva Rose Parikh, Umang Jago, Lana Müller, Stefan Graphics Group Department of Computer Science University of Auckland New Zealand Institute für Computervisualistik Department of Computer Science University of Koblenz-Landau Germany Department of Psychology University of Auckland New Zealand

ISBN: (纸本)9781920682934

Heart failure is a major cause of death in the Western world and has a severe impact on the functioning status of individuals suffering from it. Self care management involves behaviour and lifestyle changes that reduce the negative effects of this chronic illness. We have developed web-based visualisations for educating patients and promoting behavioural change. The tool uses interactive web graphics to visualise relationships between lifestyle, symptoms, patient parameters and the disease. The goal is to empower and motivate patients to take more control of the disease management process. In contrast to many educational websites with interactive content our application utilises real patient parameters and it has been evaluated from a health psychology perspective. Initial usability studies revealed difficulties with the platform independent design, but that overall the tool was perceived as educational and easy to use. A more detailed study explored the responses of Ma¯ori individuals with heart failure and their wha¯nau to a patient education intervention using the tool. Semi-structured interviews, guided by the Common Sense Model of illness representations, demonstrate that the programme promotes knowledge and understanding of the illness and its associated symptoms and promotes protective behaviour. Copyright © 2011, Australian computer Society, Inc.

关键词： Visualization

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Illumination insensitive robot self-localization using panoramic eigenspaces

Illumination insensitive robot self-localization using panor...

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RoboCup 2004 Symposium

作者： Steinbauer, Gerald Bischof, Horst Institute for Software Technology Graz University of Technology Inffeldgasse 16b/II A-8010 Graz Austria Institute for Computer Graphics and Vision Graz University of Technology Inffeldgasse 16/II A-8010 Graz Austria

We propose to use a robust method for appearance-based matching that has been shown to be insensitive to illumination and occlusion for robot self-localization. The drawback of this method is that it relies on panoramic images taken in one certain orientation, restricts the heading of the robot throughout navigation or needs additional sensors for orientation, e.g. a compass. To avoid these problems we propose a combination of the appearance-based method with odometry data. We demonstrate the robustness of the proposed self-localization against changes in illumination by experimental results obtained in the RoboCup Middle-Size scenario. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Eigenvalues and eigenfunctions

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Sampling step importance in hierarchical semantic segmentation of microscopic images

Sampling step importance in hierarchical semantic segmentati...

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15th International Conference on System Theory, Control and Computing, ICSTCC 2011

作者： Smochina, Cristian Manta, Vasile Kropatsch, Walter Department of Computer Science and Engineering Gheorghe Asachi Technical University of Iasi Romania Pattern Recognition and Image Processing Group Institute of Computer Graphics and Algorithms Vienna University of Technology Austria

ISBN: (纸本)9781457711732

The objective of semantic segmentation in microscopic images is to extract the cellular, nuclear or tissue components. This problem is challenging due to the large variations of these components features (size, shape, orientation or texture). In this paper we improve the technique presented in [17] used to identify the epithelial nuclei (crypt) against interstitial nuclei in microscopic images taken from colon tissues. In the proposed enhanced approach, the crypt inner boundary is detected using the closing morphological pyramid instead of morphological hierarchy. The outer crypt border is determined by the epithelial nuclei, overlapped by the maximal isoline of the inner boundary. The use of sampling in building the pyramid offers computational efficiency, reduces the amount of used memory, increase the robustness and preserve the quality results. An analysis of the two approaches is performed considering the number of pixels processed to create each level. Also the relation between the levels of the hierarchical structures is established. © 2011 Faculty of Auto Control.

关键词： Computational efficiency

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Parameter synthesis for timed kripke structures 22

Parameter synthesis for timed kripke structures

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22nd International Workshop on Concurrency, Specification and Programming, CS and P 2013

作者： Knapik, Michal Penczek, Wojciech Institute of Computer Science PAS Warsaw Poland University of Natural Sciences and Humanities II Siedlce Poland

We show how to synthesise parameter values under which a given property, expressed in a certain extension of CTL called RTCTLp, holds in a parametric timed Kripke structure. Similarly as in fixed-point symbolic model checking approach, we introduce special operators which stabilise on the solution. The process of stabilisation is essentially a translation from RTCTLp parameter synthesis problem to a discrete optimization task. We argue that this leads to new opportunities in model checking, including the use of integer programming and related tools.

关键词： Integer programming

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