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CAREER: Wearable opto-electronic sensor for quantitative, noninvasive imaging of cerebral blood flow in humans

CAREER: Wearable opto-electronic sensor for quantitative, noninvasive imaging of cerebral blood flow in humans
职业:可穿戴光电传感器,用于人体脑血流的定量、无创成像
批准号:
2239675
负责人:
Ashwin Parthasarathy
金额:
$51.29万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-05-01 至 2028-04-30

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中文摘要
翻译
人脑接受高达20%的人体血液供应,尽管只占人体质量的2%;这是它提供的重要功能的真实证明。然而,流向大脑的血液受到一种名为自动调节的机制的严格控制,因为即使是短暂的血液流动中断也会导致中风,而过度的血液流动可能会导致脑出血。由于这一关键作用,自动调节和脑血流量的定量测量可用于检测脑损伤、监测治疗,甚至预测康复。不幸的是,目前还没有便携式的、易于使用的仪器可以用来定量和连续地成像患者床边的脑血流。为了解决这一技术差距,该项目将开发第一台可穿戴式光学成像仪,用于床边、脑血流的非侵入性成像和人体自动调节动力学。除了帮助临床医生管理脑损伤外,这种成像仪器还将提高我们对关键脑功能的理解,并有助于识别未诊断的局部脑损伤。该项目的教育和推广目标是开发和分发模块化的电子乐高工具包,以促进所有年龄段的电子设计的有趣的、体验式的学习。脑血管自动调节(CVAR)是在动脉血压和代谢需求变化时控制脑血流量(CBF)的一种重要的稳态机制。由于这种自主神经过程的中断强烈预示着疾病,因此CVAR动力学的定量测量是脑损伤的功能性生物标记物,包括缺血性中风、创伤性脑损伤和阿尔茨海默病。不幸的是,当前临床监测的状态仅限于头部少数位置的CBF测量,迫使CVAR指标被描述为忽略空间分布的单个全局数字,可能导致未诊断的局部损伤。为了解决这一技术局限性,本项目将开发新的便携式光学技术,利用漫反射相关光谱(DCS)定量测量脑血流量。具体地说,(1)该项目将建造世界上第一个用于定量监测血流的可穿戴光学设备,其技术创新显著地将DCS血流监测仪的占地面积从一个大公文包缩小到1平方英尺。在……里面。光学探头。(2)然后,该项目将改装这种可穿戴的血液流量传感器,用于整个人类头部,以非侵入性方式成像人类的脑血流(CBF)。将在组织模拟模型和人体上进行严格的实验,以表征CBF成像仪的准确性、灵敏度和噪声性能。该项目中开发的设备对于更广泛的神经成像社区来说是独一无二的。随着这项技术的适当推广和商业化,这种第一台脑血流成像仪可以帮助包括神经学家、神经学家、生理学家和行为科学家在内的大量研究大脑的研究人员,也可以适用于其他组织类型。该计划由工程局化学、生物工程、环境和运输系统(CBET)共同资助。该奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
The human brain receives up to 20% of the body's blood supply, despite accounting for only 2% of the human body's mass; a true testament to the vital function that it provides. Nevertheless, blood flow to the brain is tightly controlled by a mechanism called autoregulation, because even momentary disruptions in blood flow can lead to strokes, while excess blood flow can result in brain bleeds. Due to this critical role, quantitative measurements of autoregulation and brain blood flow can be used to detect brain injuries, monitor treatment, and even predict recovery. Unfortunately, there is currently no portable, easy-to-use instrument that physicians can use to quantitatively and continuously image brain blood flow at a patient's bedside. To address this technology gap, this project will develop the first wearable optical imaging instrument for bedside, noninvasive imaging of brain blood flow and autoregulation dynamics in humans. In addition to helping clinicians manage brain injuries, this imaging instrument will improve our understanding of critical brain function and will help identify undiagnosed local brain injuries. The educational and outreach goal of this project is to develop and distribute modular electronic-lego kits that will foster fun, experiential learning of electronic design for all ages. Cerebrovascular autoregulation (CVAR) is an important homeostatic mechanism that controls cerebral blood flow (CBF) during changes in arterial blood pressure and metabolic demand. Since disruption of this autonomic process is strongly indicative of disease, quantitative measurements of CVAR dynamics are functional biomarkers for brain injuries including ischemic strokes, traumatic brain injuries and Alzheimer's disease. Unfortunately, the state of current clinical monitoring is limited to CBF measurements at a few locations in the head, forcing CVAR metrics to be characterized as a single global number that ignores spatial distributions, potentially leading to undiagnosed local injuries. To address this technical limitation, this project will develop new portable optical technology to quantitatively measure cerebral blood flow with Diffuse Correlation Spectroscopy (DCS). Specifically, (1) this project will build the world's first wearable optical device for quantitative monitoring blood flow, featuring technical innovations that dramatically shrink the footprint of a DCS blood flow monitor from a large briefcase to a 1 sq. in. optical probe. (2) The project will then adapt this wearable blood flow sensor for use over the entire human head for non-invasive imaging of cerebral blood flow (CBF) in humans. Rigorous experiments will be conducted on tissue-simulating phantoms, and in humans, to characterize the accuracy, sensitivity, and noise performance of the CBF imager. The devices developed in this project are unique for the broader neuroimaging community. With appropriate dissemination and commercialization of this technology, this first-of-its kind CBF imager can help a broad cohort of researchers who study the brain including neurologists, neuroscientists, phycologists, and behavioral scientists, and can also be adapted for other tissue types.The proposal was co-funded by the Division of Chemical, Bioengineering, Environmental, and Transport Systems (CBET) in the Directorate of Engineering.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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