TRD - Sim and Est

TRD - Sim 和 Est

• 批准号: 9116888
• 负责人: Rob S. MacLeod
• 金额: $ 23.37万
• 依托单位: UNIVERSITY OF UTAH
• 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/9116888
• 关键词: Address; Affect; Algorithmic Software; Algorithms; Anatomy; Arrhythmia; Attention; Automobile Driving; Behavior; Biological; Biomechanics; Biomedical Computing; Biomedical Engineering; Biomedical Research; Blood flow; Body Surface; Brain; Cardiac; Clinical Data; Clinical Investigator; Clinical Medicine; Communities; Computer Simulation; Computer software; Computing Methodologies; Data; Databases; Development; Devices; Disease; Goals; Heart; Image; Imagery; Implant; Injection of therapeutic agent; Knowledge; Lead; Link; Measurement; Methods; Microscopy; Mind; Modeling; Myocardial Ischemia; Noise; Normal tissue morphology; Optics; Organ; Outcome; Problem Solving; Process; Property; Reader; Research; Research Infrastructure; Research Personnel; Research Project Grants; Resolution; Resources; Science; Software Design; Software Tools; Source; Staging; Structure; Technical Expertise; Techniques; Testing; Time; Uncertainty; Validation; Work; abstracting; bioelectricity; biomedical scientist; brain tissue; cost; electric impedance; experience; heart electrical activity; image reconstruction; implantable device; interest; neuroregulation; novel; optimism; practical application; relating to nervous system; simulation; simulation software; skills; stem; success; tool

3.1 Summary/Abstract In this technical core of the Center we will study both brain and cardiac bioelectric activity and, for each, both intrinsic source behavior and the application of stimulation from external or implanted devices. We will develop algorithms and tools for simulation (by which we mean making assumptions about anatomy and/or function and then using computation to predict measurements and outcomes) and estimation (by which we mean starting with measurements and a parameterized model of anatomy and/or function and using computation to estimate the values of the parameters). Our specific aims encompass three broad objectives, in concert with our own tech- nical expertise and research interests. The first objective is to provide algorithms and software for constructing and executing simulations and calculating relevant estimates from measurements. Our second objective is to engage biomedical scientists and engineers in using our software tools. Our third objective is to enable access to experimental and clinical data to support validation of results and comparisons across algorithms. Cutting across all three objectives is the growing need to quantify uncertainty as it affects all stages of simulation and es- timation, driven by the growing use of these techniques in both modern clinical medicine and modern biomedical research. As simulation and estimation transition into clinical medicine there is a growing need for comparison and validation of computational methods across experimental and clinical investigators. We have four specific aims. The first will develop and disseminate new algorithms and software for simulation and estimation for brain and cardiac bioelectric fields which stem from the intrinsic electrical activity of those organs. The second will also develop and disseminate new algorithms and software, but this time for bioelectric fields generated by manufactured devices, either implanted or at the body surface, such as cardiac defibrillators or devices used to modulate brain activity by injection of small currents. The third concerns designing software pipelines to help our collaborators build appropriately individualized computational models to use in the compu- tations of the first two aims, trading off between accuracy and time cost to create the models. The fourth aim will produce algorithms and software tools that calculate, describe, and lead to visualization of, the degree to which relevant aspects of our simulations and estimates are uncertain, in the sense that they are sensitive to unavoidable variability in our assumptions and random noise in our measurements. Taken together, our aims address essential needs for many of our collaborators, even those not concerned with bioelectric fields. Our success will reach beyond our immediate collaborators and impact a wide range of related biomedical research and science. Our past success and the close interactions we will pursue across the other parts of the Center, our Center's infrastructure, and the prominence and activity of our partners, all support our optimism that we can achieve our goals.

3.1总结/摘要 在该中心的技术核心中，我们将研究大脑和心脏的生物电活动， 内在源行为和来自外部或植入设备的刺激的应用。我们将开发 用于模拟的算法和工具（我们的意思是对解剖结构和/或功能进行假设， 然后使用计算来预测测量结果和结果）和估计（我们的意思是从 测量结果和解剖结构和/或功能的参数化模型，并使用计算来估计解剖结构和/或功能的参数化模型。 参数的值）。我们的具体目标包括三大目标，与我们自己的技术相一致， 专业知识和研究兴趣。第一个目标是提供算法和软件， 以及执行模拟并根据测量结果计算相关估计。我们的第二个目标是 让生物医学科学家和工程师使用我们的软件工具。我们的第三个目标是使人们能够 实验和临床数据，以支持结果验证和算法之间的比较。切割 在所有三个目标中，越来越需要量化不确定性，因为它影响模拟和评估的所有阶段， 由于现代临床医学和现代生物医学中越来越多地使用这些技术， research.随着模拟和估计过渡到临床医学，越来越需要进行比较 以及在实验和临床研究者中验证计算方法。 我们有四个具体目标。第一个将开发和传播新的算法和模拟软件 以及对源于这些脑和心脏的固有电活动的脑和心脏生物电场的估计 机关第二个也将开发和传播新的算法和软件，但这一次是生物电 植入或体表制造器械产生的场，如心脏除颤器 或通过注入小电流来调节大脑活动的装置。第三是软件设计 管道，以帮助我们的合作者建立适当的个性化计算模型，在计算机中使用， 前两个目标的平衡，在准确性和创建模型的时间成本之间进行权衡。第四个目标 将产生算法和软件工具，计算，描述，并导致可视化的程度， 我们的模拟和估计的哪些相关方面是不确定的，从某种意义上说，它们对 我们的假设中不可避免的可变性和我们测量中的随机噪声。 总的来说，我们的目标解决了我们许多合作者的基本需求，即使是那些不关心的人 生物电场。我们的成功将超越我们的直接合作者，并影响广泛的 相关的生物医学研究和科学。我们过去的成功和我们将在整个 中心的其他部分，我们中心的基础设施，以及我们合作伙伴的突出和活动，都支持 我们对实现目标的乐观态度。