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检索条件"机构=Computer Graphics Lab Computer Science"

共 186 条记录，以下是71-80 订阅

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Visual and force-feedback guidance for robot-assisted interventions in the beating heart with real-time MRI

Visual and force-feedback guidance for robot-assisted interv...

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IEEE International Conference on Robotics and Automation (ICRA)

作者： Nikhil V. Navkar Zhigang Deng Dipan J. Shah Kostas E. Bekris Nikolaos V. Tsekos The Computer Graphics & Interactive Media Lab and the Medical Robotics Lab at University of Houston TX USA The Computer Graphics & Interactive Media Lab and Computer Science Department at University of Houston Houston TX USA Methodist DeBakey Heart & Vascular Center Methodist Hospital Houston TX 77030 USA The Computer Science & Engineering Department’ University of Nevada Reno NV USA The Medical Robotics Lab and Computer Science Department at University of Houston Houston TX USA

Robot-assisted surgical procedures are perpetually evolving due to potential improvement in patient treatment and healthcare cost reduction. Integration of an imaging modality intraoperatively further strengthens these procedures by incorporating the information pertaining to the area of intervention. Such information needs to be effectively rendered to the operator as a human-in-the-loop requirement. In this work, we propose a guidance approach that uses real-time MRI to assist the operator in performing robot-assisted procedure in a beating heart. Specifically, this approach provides both real-time visualization and force-feedback based guidance for maneuvering an interventional tool safely inside the dynamic environment of a heart's left ventricle. Experimental evaluation of the functionality of this approach was tested on a simulated scenario of transapical aortic valve replacement and it demonstrated improvement in control and manipulation by providing effective and accurate assistance to the operator in real-time.

关键词： Manipulators Robot kinematics Real time systems Visualization Instruction sets Heart

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Multi-target protein-chemical interaction prediction using task-regularized and boosted multi-task learning 12

Multi-target protein-chemical interaction prediction using t...

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2012 ACM Conference on Bioinformatics, Computational Biology and Biomedicine, BCB 2012

作者： Zhang, Jintao Lushington, Gerald H. Huan, Jun Center for Bioinformatics University of Kansas Lawrence KS 66047 United States Molecular Graphics and Modeling Lab. University of Kansas Lawrence KS 66045 United States Dept. of Electrical Engineering and Computer Science University of Kansas Lawrence KS 66045 United States

ISBN: (纸本)9781450316705

Interactions between proteins and small-molecule chemicals modulate many protein functions and biological processes, and identifying these interactions is a crucial step in modern drug discovery. Supervised learning methods for predicting protein-chemical interactions (PCI) have been widely studied, but their performance is largely limited by insufficient availability of binding data for many proteins. In addition, many complex diseases such as Alzheimer's disease and cancers are found associated with multiple target proteins. Chemicals that selectively modulate only one of these target proteins are unable to effectively conquer these diseases. In this paper we propose two multi-task learning (MTL) algorithms for predicting active compounds of multiple proteins related to the same diseases, some of which may have very few binding examples. In the first method we optimize the likelihood of compound features with a Gaussian prior, while the second method boosts compound features using a number of independent boosting classifiers. Experimental studies demonstrate significant performance improvement of our MTL methods over baseline methods. Our MTL methods are also able to accurately identify promiscuous compounds that interact with multiple related proteins. Copyright © 2012 ACM.

关键词： Proteins

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Intraoperative registration of preoperative 4D cardiac anatomy with real-time MR images

Intraoperative registration of preoperative 4D cardiac anato...

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IEEE Symposium on Bioinformatics and Bioengineering (BIBE)

作者： Xifeng Gao Nikhil V. Navkar Dipan J. Shah Nikolaos V. Tsekos Zhigang Deng Computer Graphics and Interactive Media Lab Houston TX USA Methodist DeBakey Heart & Vascular Center Houston TX USA Department of Computer Science University of Houston Houston TX USA

Co-registering pre- and intra- operative MR data is an important yet challenging problem due to different acquisition parameters, resolutions, and plane orientations. Despite its importance, previous approaches are often computationally intensive and thus cannot be employed in real-time. In this paper, a novel three-step approach is proposed to dynamically register pre-operative 4D MR data with intra-operative 2D RT-MRI to guide intracardiac procedures. Specifically, a novel preparatory step, executed in the pre-operative phase, is introduced to generate bridging information that can be used to significantly speed up the on-the-fly registration in the intraoperative procedure. Our experimental results demonstrate an accuracy of 0.42 mm and a processing speed of 26 FPS of the proposed approach on an off-the-shelf PC. This approach, is in particularly developed for performing intra-cardiac procedures with real-time MR guidance.

关键词： Real-time systems Heart Accuracy Spatial resolution Computational modeling Registers Solid modeling

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HeartPad: Real-time visual guidance for cardiac ultrasound

HeartPad: Real-time visual guidance for cardiac ultrasound

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Workshop at SIGGRAPH Asia 2012, WASA 2012

作者： Ford, Steven T. Viola, Ivan Bruckner, Stefan Torp, Hans Kiss, Gabriel Norwegian University of Science and Technology MI Lab. Department of Circulation and Medical Imaging Trondheim Norway Høgskolen I Nord-Trøndelag Norway University of Bergen Norway Christian Michelsen Research Norway Institute of Computer Graphics and Algorithms Vienna University of Technology Austria St. Olavs Hospital Trondheim Norway

ISBN: (纸本)9781450318358

Medical ultrasound is a challenging modality when it comes to image interpretation. The goal we address in this work is to assist the ultrasound examiner and partially alleviate the burden of interpretation. We propose to address this goal with visualization that provides clear cues on the orientation and the correspondence between anatomy and the data being imaged. Our system analyzes the stream of 3D ultrasound data and in real-time identifies distinct features that are basis for a dynamically deformed mesh model of the heart. The heart mesh is composited with the original ultrasound data to create the data-to-anatomy correspondence. The visualization is broadcasted over the internet allowing, among other opportunities, a direct visualization on the patient on a tablet computer. The examiner interacts with the transducer and with the visualization parameters on the tablet. Our system has been characterized by domain specialist as useful in medical training and for navigating occasional ultrasound users. © 2012 ACM.

关键词： Visualization

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Robot-assisted mechanical scanning and co-registration of Magnetic Resonance Imaging and light-induced fluorescence

Robot-assisted mechanical scanning and co-registration of Ma...

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IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob)

作者： Ahmet E. Sonmez William M. Spees Alpay Özcan Zhigang Deng Andrew G. Webb Nikolaos V. Tsekos Medical Robotics Laboratory Department of Computer Science at University of Houston Houston TX USA Biomedical Magnetic Resonance Laboratory Washington University St. Louis MO USA Arlington Innovation Center Virginia Polytechnic Institute and State University Arlington VA USA Computer Graphics & Interactive Media Lab and Computer Science Department at University of Houston Houston TX USA Department of Radiology Leiden University Medical Center Leiden Netherlands

Robotic manipulators offer some unique opportunities to address research and clinical needs. Among those is the potential use of a robotic manipulator to mechanically scan the tissue of interest with biosensors that have limited tissue penetration. In such cases, the robot can serve a dual role. First, it can perform spatial scanning with the biosensor along a pre-selected path inside the tissue. Second, it can function as the mechanical link to spatially co-register the data collected with the biosensor and the images of a guidance modality. Herein, we describe a robotic system to mechanically scan with a light-induced fluorescence (LIF) sensor and co-register LIF data to the guiding modality of MRI. Specifically, a custom-built MR-compatible endoscope was integrated onto the end-effector of an MR-compatible manipulator to collect MRI-guided LIF 1D scans. A miniature radiofrequency (RF) coil attached onto the end-effector was used as a fiducial marker for co-registering LIF and MRI. This mechanically scanning system was investigated on two compartment phantoms, each with different optical agents. Those studies demonstrated “robot-assisted” multi-modality co-registration, i.e. the spatial distribution of the LIF signals matched with the MR guiding images. The system can incorporate additional sensors for collecting complementary biochemical information.

关键词： Optical fibers Manipulators Robot sensing systems Probes Coils

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The learning design in education today: Putting pedagogical content knowledge into practice

The learning design in education today: Putting pedagogical ...

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4th International Conference on computer Supported Education, CSEDU 2012

作者： Azevedo, Isabel Mota, Dulce De Carvalho, Carlos Vaz Carrapatoso, Eurico Reis, Luis Paulo School of Engineering and GILT - Graphics Interaction and Learning Technologies Polytechnic of Porto Rua Dr. António Bernardino de Almeida 431 4200-072 Porto Portugal FEUP - Faculty of Engineering University of Porto Rua Dr. Roberto Frias s/n 4200-465 Porto Portugal LIACC - Artificial Intelligence and Computer Science Lab. R. Campo Alegre 1021 4169-007 Porto Portugal

ISBN: (纸本)9789898565068

This article describes the use of learning design to contextualise learning resources in a repository through the use of pre-defined templates. We advocate a close connection between a resource and its pattern of use in order to improve learning objects reuse. Moreover, we present the rationale for adopting and using learning design templates in the TREE repository.

关键词： Collaborative learning Cooperative and collaborative work Learning design Learning resources Pedagogical content knowledge

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Computational Video - Seminar 10411

Computational Video - Seminar 10411

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Computational Video 2010

作者： Magnor, Marcus Cremers, Daniel Zelnik-Manor, Lihi Computer Graphics Lab Technical University of Braunschweig Germany Department of Computer Science Technical University of Munich Germany Laboratory of Computer Graphics & Multimedia Technion Israel Israel

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Formation sketching: An approach to stylize groups in crowd simulation

Formation sketching: An approach to stylize groups in crowd ...

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37th graphics Interface Conference, GI 2011

作者： Gu, Qin Deng, Zhigang Computer Graphics and Interactive Media Lab. Department of Computer Science University of Houston United States

ISBN: (纸本)9781450306935

Most of existing crowd simulation algorithms focus on the moving trajectories of individual agents, while collective group formations are often roughly learned from video examples or manually specified via various hard constraints (e.g., pre-defined keyframes of exact agent distributions). In this paper, we present an intuitive yet efficient approach to generate arbitrary and precise group formations by sketching formation boundaries. Our approach can automatically compute the desired position of each agent in the target formation and generate the agent correspondences between keyframes. When high-level group formations need to be formed on-the-fly in a dynamic environment such as "switching to the circle formation at about one hundred meters ahead", our algorithm will coordinate and compute appropriate actions for each agent by seamlessly fusing local formation dynamics and global group locomotion. Through a number of experiments, we demonstrate that our approach is efficient and adaptive to variations of group scales (i.e., number of agents), group positions, and environment obstacles. Copyright held by authors.

关键词： Three dimensional computer graphics

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An enhancement and stitching system for x-ray images

An enhancement and stitching system for x-ray images

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IASTED International Conference on Biomedical Engineering, Biomed 2011

作者： Wang, Weiwei Oubong, Gwun Computer Graphics Lab. Computer Science and Computer Engineering Chonbuk National University Jeonju 561-756 Korea Republic of

ISBN: (纸本)9780889868663

Low quality and small size of X-ray images causes difficulties for doctors to diagnose comprehensively. This paper presents a panorama system for x-ray medical images with low quality and small size based on SURF. The main steps of this system are: first to enhance the low quality images by MSR;secondly, to match separated images by SURF;lastly to blend the images by multi-band blending method. Experiments showed that the presented system can not only enhance the contrast and clearness of the medical image with low quality but also observe it synthetically.

关键词： Image enhancement

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Survey on benchmarks for a GPU based multi camera stereo matching algorithm

Survey on benchmarks for a GPU based multi camera stereo mat...

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International Research and Training Group 1131 Workshop on Visualization of Large and Unstructured Data Sets - Applications in Geospatial Planning, Modeling and Engineering, VLUDS 2010

作者： Denker, Klaus Umlauf, Georg Department of Computer Science Computer Graphics Lab University of Applied Sciences Konstanz Brauneggerstr. 55 78462 Konstanz Germany

ISBN: (纸本)9783939897293

Stereo matching algorithms and multi camera reconstruction algorithms are usually compared using benchmarks. These benchmarks compare the quality of the resulting depth map or reconstructed surface mesh. We describe the differences between several known stereo and multi-view stereo benchmarks and their various datasets. Also the modifications that are necessary to use our own GPU based multi camera stereo matching algorithm with the data from these benchmarks are discussed.

关键词： graphics processing unit

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