Development of a Hyperspectral FD-NIRS Device for Muscle Physiology
用于肌肉生理学的高光谱 FD-NIRS 设备的开发
基本信息
- 批准号:9182006
- 负责人:
- 金额:$ 7.7万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2016
- 资助国家:美国
- 起止时间:2016-06-01 至 2018-03-31
- 项目状态:已结题
- 来源:
- 关键词:ATP Synthesis PathwayAgingBackBiologicalBloodClinicalCommunitiesCytochromesDataDetectionDevelopmentDevicesDiabetes MellitusDiffusionDiseaseEquationExercise PhysiologyFatigueFourier TransformFrequenciesFutureGeometryHemoglobinImageInjuryInsulin ResistanceLasersLightLinkLipidsMeasurementMeasuresMetabolic DiseasesMetabolismMethodsMitochondriaMitochondrial MyopathiesModelingMonte Carlo MethodMuscleMuscular DystrophiesMyoglobinNear-Infrared SpectroscopyNoiseNon-Insulin-Dependent Diabetes MellitusOpticsOxidasesOxygenPeripheral arterial diseasePhasePhotonsPhysiologicalPhysiologyPropertyProteinsReportingResearchResearch PersonnelRespirationRisk AssessmentSensitivity and SpecificitySignal TransductionSkeletal MuscleSourceSpectrum AnalysisSystemTechniquesTechnologyTestingTimeTissuesTubeVariantVascular DiseasesWaterWorkabsorptionbasechromophorecostcost effectivedesignergonomicsfall riskheterodyningimprovedinnovationinstrumentinterestmigrationmuscle metabolismmuscular structurenovelphotomultiplierscale upsimulationtransmission process
项目摘要
ABSTRACT
Near-infrared spectroscopy (NIRS) is a non-invasive optical technique to measure chromophore
concentrations in tissue including hemoglobin, myoglobin, water, lipid, and cytochrome C oxidase. Continuous
wave (CW-) NIRS systems are widely used but are limited to the measurement of changes in chromophore
concentrations and have low quantitative accuracy in reporting absolute concentrations due to the unknown
pathlength factors related to the diffusion of light in tissue. Frequency-domain (FD-) NIRS is a variation of this
method that uses amplitude modulated light and the measurement of the amplitude and phase of the light
passing through tissue to provide more quantitative estimates of baseline optical properties. However, current
FD-NIRS systems are limited to only a few optical wavelengths due to the cost and complexity of these
modulation circuits. In this project, we propose to develop a novel hyperspectral FD-NIRS system, which uses
a broadband white light source and CCD spectrometer detection system. The unique innovation of this system
is the use of electro-optical modulators (EOMs), which will be used to directly modulate the light rather than
relying on electrical modulation of laser diodes. Two devices will be used to enable heterodyne downshifting of
these MHz signals for CCD detection. This approach will be a much simpler and more cost effective way to
increase the number and range of wavelengths used by the system in comparison to previous versions of CW-
and FD-NIRS systems. This device will improve the way in which NIRS is collected across a wide range of
applications. The aims of this study are:
Aim 1. Construct a hyperspectral FD-NIRS device and characterize sensitivity and noise properties of
the instrument.
Aim 2. Investigate the sensitivity and specificity of CW- and FD-NIRS measurements in simulated
muscle tissue using Monte Carlo techniques to look at the effect of realistic muscle structure on photon
migration.
Aim 3. Characterize the sensitivity and specificity of the measurement of physiological compounds
using the device in phantoms and compare with Monte Carlo simulation results.
This proposed R03 study will develop this unique system and allow us to apply these advanced NIRS
techniques in future studies of muscle physiology including injury risk assessment, the impact of aging and
diabetes, among various other work.
摘要
近红外光谱技术是一种非侵入式的光学技术,
组织中的浓度包括血红蛋白、肌红蛋白、水、脂质和细胞色素C氧化酶。连续
波(CW-)NIRS系统被广泛使用,但限于测量发色团的变化
由于浓度未知,报告绝对浓度的定量准确度较低
与光在组织中的扩散有关的光程因子。频域(FD-)NIRS是这种方法的变体
一种使用振幅调制光并测量光的振幅和相位的方法
以提供基线光学特性的更定量的估计。但目前的
FD-NIRS系统由于其成本和复杂性而仅限于几个光波长。
调制电路在这个项目中,我们建议开发一种新的高光谱FD-NIRS系统,
一种宽带白色光源和CCD光谱仪检测系统。这套系统的独特创新之处在于
使用电光调制器(EOM),其将用于直接调制光,而不是
依赖于激光二极管的电调制。两个器件将用于实现外差降频,
这些MHz信号用于CCD检测。这种方法将是一种更简单和更具成本效益的方法,
与以前的CW版本相比,增加系统使用的波长数量和范围-
FD-NIRS系统该设备将改善近红外光谱在广泛范围内收集的方式,
应用.本研究的目的是:
目标1.构建高光谱FD-NIRS装置并表征
工具。
目标二。研究CW-和FD-NIRS测量的灵敏度和特异性,
肌肉组织,使用蒙特卡罗技术来观察真实肌肉结构对光子的影响
迁移
目标3.表征生理化合物测量的灵敏度和特异性
并与Monte Carlo模拟结果进行了比较。
这项拟议的R 03研究将开发这种独特的系统,并使我们能够应用这些先进的近红外光谱技术,
未来肌肉生理学研究中的技术,包括损伤风险评估,衰老的影响,
糖尿病,以及其他各种工作。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Theodore James Huppert其他文献
Theodore James Huppert的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Theodore James Huppert', 18)}}的其他基金
Brain AnalyzIR: A software platform for improving scientific rigor in functional NIRS statistical analysis
Brain AnalyzIR:用于提高功能 NIRS 统计分析科学严谨性的软件平台
- 批准号:
10436947 - 财政年份:2019
- 资助金额:
$ 7.7万 - 项目类别:
Brain AnalyzIR: A software platform for improving scientific rigor in functional NIRS statistical analysis
Brain AnalyzIR:用于提高功能 NIRS 统计分析科学严谨性的软件平台
- 批准号:
10203962 - 财政年份:2019
- 资助金额:
$ 7.7万 - 项目类别:
Brain AnalyzIR: A software platform for improving scientific rigor in functional NIRS statistical analysis
Brain AnalyzIR:用于提高功能 NIRS 统计分析科学严谨性的软件平台
- 批准号:
9797359 - 财政年份:2019
- 资助金额:
$ 7.7万 - 项目类别:
Imaging and modeling the biomechanics of large cerebral blood vessels using high-speed dynamic MRI
使用高速动态 MRI 对大脑血管的生物力学进行成像和建模
- 批准号:
9506007 - 财政年份:2017
- 资助金额:
$ 7.7万 - 项目类别:
Imaging and modeling the biomechanics of large cerebral blood vessels using high-speed dynamic MRI
使用高速动态 MRI 对大脑血管的生物力学进行成像和建模
- 批准号:
9370044 - 财政年份:2017
- 资助金额:
$ 7.7万 - 项目类别:
Development of a Hyperspectral FD-NIRS Device for Muscle Physiology
用于肌肉生理学的高光谱 FD-NIRS 设备的开发
- 批准号:
9277459 - 财政年份:2016
- 资助金额:
$ 7.7万 - 项目类别:
Characterization of Brain Noise using Multimodal Mutual Information
使用多模态互信息表征脑噪声
- 批准号:
8250389 - 财政年份:2011
- 资助金额:
$ 7.7万 - 项目类别:
Characterization of Brain Noise using Multimodal Mutual Information
使用多模态互信息表征脑噪声
- 批准号:
8082320 - 财政年份:2011
- 资助金额:
$ 7.7万 - 项目类别:
Characterization of Brain Noise using Multimodal Mutual Information
使用多模态互信息表征脑噪声
- 批准号:
8425020 - 财政年份:2011
- 资助金额:
$ 7.7万 - 项目类别:
A Cerebral Functional Unit Model for Multimodal Imaging of Neurovascular Coupling
用于神经血管耦合多模态成像的脑功能单元模型
- 批准号:
7860674 - 财政年份:2009
- 资助金额:
$ 7.7万 - 项目类别:
相似海外基金
Interplay between Aging and Tubulin Posttranslational Modifications
衰老与微管蛋白翻译后修饰之间的相互作用
- 批准号:
24K18114 - 财政年份:2024
- 资助金额:
$ 7.7万 - 项目类别:
Grant-in-Aid for Early-Career Scientists
The Canadian Brain Health and Cognitive Impairment in Aging Knowledge Mobilization Hub: Sharing Stories of Research
加拿大大脑健康和老龄化认知障碍知识动员中心:分享研究故事
- 批准号:
498288 - 财政年份:2024
- 资助金额:
$ 7.7万 - 项目类别:
Operating Grants
EMNANDI: Advanced Characterisation and Aging of Compostable Bioplastics for Automotive Applications
EMNANDI:汽车应用可堆肥生物塑料的高级表征和老化
- 批准号:
10089306 - 财政年份:2024
- 资助金额:
$ 7.7万 - 项目类别:
Collaborative R&D
関節リウマチ患者のSuccessful Agingに向けたフレイル予防対策の構築
类风湿性关节炎患者成功老龄化的衰弱预防措施的建立
- 批准号:
23K20339 - 财政年份:2024
- 资助金额:
$ 7.7万 - 项目类别:
Grant-in-Aid for Scientific Research (B)
Baycrest Academy for Research and Education Summer Program in Aging (SPA): Strengthening research competencies, cultivating empathy, building interprofessional networks and skills, and fostering innovation among the next generation of healthcare workers t
Baycrest Academy for Research and Education Summer Program in Aging (SPA):加强研究能力,培养同理心,建立跨专业网络和技能,并促进下一代医疗保健工作者的创新
- 批准号:
498310 - 财政年份:2024
- 资助金额:
$ 7.7万 - 项目类别:
Operating Grants
Life course pathways in healthy aging and wellbeing
健康老龄化和福祉的生命历程路径
- 批准号:
2740736 - 财政年份:2024
- 资助金额:
$ 7.7万 - 项目类别:
Studentship
I-Corps: Aging in Place with Artificial Intelligence-Powered Augmented Reality
I-Corps:利用人工智能驱动的增强现实实现原地老龄化
- 批准号:
2406592 - 财政年份:2024
- 资助金额:
$ 7.7万 - 项目类别:
Standard Grant
NSF PRFB FY 2023: Connecting physiological and cellular aging to individual quality in a long-lived free-living mammal.
NSF PRFB 2023 财年:将生理和细胞衰老与长寿自由生活哺乳动物的个体质量联系起来。
- 批准号:
2305890 - 财政年份:2024
- 资助金额:
$ 7.7万 - 项目类别:
Fellowship Award
虚弱高齢者のSuccessful Agingを支える地域課題分析指標と手法の確立
建立区域问题分析指标和方法,支持体弱老年人成功老龄化
- 批准号:
23K20355 - 财政年份:2024
- 资助金额:
$ 7.7万 - 项目类别:
Grant-in-Aid for Scientific Research (B)
「ケア期間」に着目したbiological aging指標の開発
开发聚焦“护理期”的生物衰老指数
- 批准号:
23K24782 - 财政年份:2024
- 资助金额:
$ 7.7万 - 项目类别:
Grant-in-Aid for Scientific Research (B)