GOAL-DIRECTED MODEL ACQUISITION AND RENDERING

目标导向的模型采集和渲染

• 批准号: 5209714
• 负责人: ALAN H. BARR
• 金额: --
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/5209714
• 关键词: biomedical automation; brain imaging /visualization /scanning; brain mapping; computer graphics /printing; computer human interaction; computer program /software; computer simulation; computer system design /evaluation; magnetic resonance imaging

The long term goal of this project is to develop a new interactive paradigm for data collection and analysis in the neurosciences. The specific aim is to create a "teleological pipeline" for making datasets, models, and images. The pipeline algorithmically incorporates data and image "goals" of the investigator, expressing and executing the goals through interactive computational means. The user would make man)' data acquisition and image decisions interactively, closing the loop while the experiment is in progress. The teleological pipeline will be applied to Magnetic Resonance Micro- imaging. The pipeline is roughly analogous to a "spread sheet environment" for MR data collection and analysis. The teleological paradigm helps to convert "what the user wants" into constrained optimization problems, and other tasks that are computationally tractable. The approach builds on Cal tech expertise in teleological modeling [see reprints]. The teleological pipeline is a robust conversion process, converting goals into computational procedures. Examples are tools which use constrained optimization methods (as opposed to more heuristic methods). The approach involves creating soft and hard constraints to determine computational tasks that achieve what the user has requested. 'Closing the loop' interactively through use of a teleological pipeline may have a fundamental impact in the neurosciences, perhaps as significant as the transition from computer punch cards to interactive computer graphics CRT screens.

该项目的长期目标是开发一种新的交互式 神经科学中数据收集和分析的范例。这 具体目标是创建一个用于制作数据集的“目的管道”， 模型和图像。该管道通过算法合并数据和 研究者的“目标”形象，表达并执行目标 通过交互式计算手段。用户将制作 man)' 数据 交互地进行采集和图像决策，从而关闭循环 实验正在进行中。 目的论管道将应用于磁共振微- 成像。该管道大致类似于“电子表格环境” 用于 MR 数据收集和分析。目的论范式有助于 将“用户想要什么”转化为约束优化问题，以及 其他可计算处理的任务。该方法建立在加州大学 目的论建模的技术专业知识[参见重印]。 目的论管道是一个强大的转换过程，转换目标 进入计算程序。示例是使用约束的工具 优化方法（与更多启发式方法相反）。方法 涉及创建软约束和硬约束以确定计算 实现用户请求的任务。 通过使用目的论管道以交互方式“关闭循环” 可能对神经科学产生根本性影响，也许同样重要 从计算机打孔卡到交互式计算机的转变 图形 CRT 屏幕。