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Instrumentation For Computer Science & Engineering Research in Image Segmentation, Registration, Modelling and Interactive Model-Based Task Optimization

Instrumentation For Computer Science & Engineering Research in Image Segmentation, Registration, Modelling and Interactive Model-Based Task Optimization
计算机科学仪器
批准号:
9529509
负责人:
Russell Taylor
金额:
$11.32万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
1996
资助国家:
美国
项目状态:
已结题
起止时间:
1996-02-15 至 1999-01-31

项目摘要

项目成果

Russell Taylor的其他基金

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中文摘要
翻译
CDA-9529509 作者:Russell H. 沃尔夫,劳伦斯B. 约翰霍普金斯大学 巴尔的摩,马里兰州 计算机科学与工程研究中的图像分割,配准, 建模和交互式基于模型的任务优化 为计算机科学新实验室提供计算服务器和可视化工作站 约翰霍普金斯大学机器人、图像处理、 计算机视觉、建模和计算机集成手术。 具体的研究项目包括: 复杂管状结构的分割、建模和表征,例如血管和 (B)精确的基于视觉的相机到模型配准,以及 在建模的3D结构内导航;以及(c)开发用于组合数值 优化、几何建模、路径规划和不确定性分析,以及交互式可视化, 帮助人类专家规划复杂3D任务,以供机器人辅助执行。 这项研究结合了 在2D和3D图像和模型上进行数值密集型计算, 模型和中间计算结果,使用生物医学建模的示例,使用问题 在生物医学成像、内窥镜检查和放射治疗计划中提供动力和焦点。 的 所提供的设备通过允许对 计算机视觉,建模, 计算操纵和人机合作。
英文摘要
CDA-9529509 Taylor, Russell H. Wolff, Lawrence B. The Johns Hopkins University Baltimore, Maryland Instrumentation for Computer Science and Engineering Research in Image Segmentation, Registration, Modeling, and Interactive Model-based Task Optimization A computation server and visualization workstation are provided for a new laboratory in Computer Science Department at The Johns Hopkins University for interdisciplinary research in robotics, image-processing, computer vision, modeling, and computer-integrated surgery. Specific research projects include: (a) segmentation, modeling, and characterization of complex tubular structures such as blood vessels and bronchial trees from 3D tomographic images; (b) accurate vision-based camera-to-model registration and navigation within modeled 3D structures; and (c) development of methods for combining numerical optimization, geometric modeling, path planning and uncertainty analysis, and interactive visualizations to help a human expert plan a complex 3D task for robotically-assisted execution. This research combines numerically intensive computation on 2D and 3D images and models with interactive visualization of models and intermediate computational results, using examples from biomedical modeling, using problems in biomedical imaging, endoscopy, and radiation therapy planning to provide motivation and focus. The provided equipment significantly promotes this research by permitting realistic experimental evaluation on full-scale image data sets and models of novel algorithms and methods in computer vision, modeling, computational steering, and human-machine partnerships.
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  • 负责人:
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