GOAL-DIRECTED MODEL ACQUISITION AND RENDERING

目标导向的模型采集和渲染

• 批准号: 6237967
• 负责人: ALAN H. BARR
• 金额: $ 10.01万
• 依托单位: CALIFORNIA INSTITUTE OF TECHNOLOGY
• 依托单位国家: 美国
• 财政年份: 1997
• 资助国家: 美国
• 起止时间: 1997-09-01 至 1998-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6237967
• 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互动 神经科学中数据收集和分析的范例。的 具体目标是创建用于制作数据集的“目的论管道”， 模型和图像。流水线在算法上合并数据， 研究者的形象“目标”，表达和执行目标 通过交互式计算手段。用户将使人）的数据 采集和图像决策交互，关闭循环， 实验正在进行中。 目的论管道将应用于磁共振微电子技术， 显像管道大致类似于“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“用户想要的”转化为约束优化问题，以及 其他计算上可处理的任务。该方法建立在Cal 目的论建模的技术专长[见重印]。 目的论管道是一个健壮的转换过程， 转化为计算程序。示例是使用受约束的 优化方法（相对于更启发式的方法）。的方法 包括创建软约束和硬约束，以确定计算 实现用户所要求的任务。 通过使用目的论管道以交互方式“闭合循环” 可能对神经科学产生根本性的影响， 作为从计算机穿孔卡片到交互式计算机的过渡 图形CRT屏幕。