I-Corps: Non-invasive Camera-based Blood Perfusion Imaging
I-Corps:基于相机的非侵入性血液灌注成像
基本信息
- 批准号:1747692
- 负责人:
- 金额:$ 5万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2017
- 资助国家:美国
- 起止时间:2017-10-01 至 2018-03-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The broader impact/commercial potential of this I-Corps project is to evaluate the commercial potential of a new imaging modality that can reliably measure blood perfusion. The system will enable surgeons to visualize and analyze blood flow at a surgical site in real-time, thereby assisting them in making better clinical decisions in the operating room, reduce the rate of post-operative complications, leading to overall reduction in healthcare costs. The current state-of-the-art for blood perfusion imaging is either based on injecting a contrast agent into the bloodstream and are therefore invasive with potential side-effects, or based on sophisticated Laser-based imaging device which can be difficult to operate during surgery. The system developed here relies only on the video recordings of the observation site to reliably estimate blood perfusion, and hence is both non-invasive and is easy-to-use. Beyond surgery, there is a potential of using the system to monitor critical care patients and also as a point-of-care device in podiatry, especially for the early detection of diabetic neuropathy.This I-Corps project further develops a non-contact, non-invasive, camera-based and clinically accurate blood perfusion measurement system. Using low-cost, mass-produced hardware, combined with sophisticated signal processing algorithms, the system can estimate blood perfusion maps in real time. The key innovation lies in: (i) data fusion from multiple sensors - camera and pulse oximeter, (ii) a new computational imaging and signal processing algorithm to recover blood perfusion below the skin, from videos of the skin surface, and (iii) a novel approach to compensate motion of the imaged tissue surface. The technology can work not only with video recordings of the external tissue, such as skin surface, but also internal tissue and organs, such as during a minimally invasive surgery with a laparoscope. The system has been successfully demonstrated in detecting small changes in blood perfusion during partial and full occlusion of the blood vessels.
该 I-Corps 项目更广泛的影响/商业潜力是评估一种能够可靠测量血液灌注的新成像方式的商业潜力。该系统将使外科医生能够实时可视化和分析手术部位的血流,从而帮助他们在手术室中做出更好的临床决策,降低术后并发症的发生率,从而总体降低医疗成本。目前最先进的血液灌注成像要么基于将造影剂注射到血流中,因此具有侵入性并具有潜在的副作用,要么基于复杂的基于激光的成像设备,该设备在成像过程中可能难以操作。外科手术。这里开发的系统仅依靠观察现场的视频记录来可靠地估计血液灌注,因此既是非侵入性的又易于使用。除了手术之外,该系统还有潜力用于监测重症监护患者,也可以作为足病治疗中的护理点设备,特别是对于糖尿病神经病变的早期检测。这个 I-Corps 项目进一步开发了一种非接触式、非侵入性、基于摄像头且临床准确的血液灌注测量系统。该系统利用低成本、批量生产的硬件,结合复杂的信号处理算法,可以实时估计血液灌注图。 关键创新在于:(i)来自多个传感器(相机和脉搏血氧计)的数据融合,(ii)一种新的计算成像和信号处理算法,可从皮肤表面的视频中恢复皮肤下的血液灌注,以及(iii)一种补偿成像组织表面运动的新方法。该技术不仅可以记录外部组织(例如皮肤表面)的视频记录,还可以记录内部组织和器官(例如使用腹腔镜进行微创手术时)的视频记录。该系统已成功证明可以检测血管部分和完全闭塞期间血液灌注的微小变化。
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 }}
Ashutosh Sabharwal其他文献
Dyadic Interaction Assessment from Free-living Audio for Depression Severity Assessment
用于抑郁严重程度评估的自由生活音频的二元交互评估
- DOI:
10.21437/interspeech.2022-11129 - 发表时间:
2022 - 期刊:
- 影响因子:0
- 作者:
Bishal Lamichhane;N. Moukaddam;Ankit B. Patel;Ashutosh Sabharwal - 通讯作者:
Ashutosh Sabharwal
Scheduling and Power Allocation Dampens the Negative Effect of Channel Misreporting in Massive MIMO
调度和功率分配可减轻大规模 MIMO 中信道误报的负面影响
- DOI:
10.1109/tnet.2020.3014630 - 发表时间:
2020-08 - 期刊:
- 影响因子:0
- 作者:
张战战;孙引;Ashutosh Sabharwal;陈智勇;夏斌 - 通讯作者:
夏斌
RACER: An LLM-powered Methodology for Scalable Analysis of Semi-structured Mental Health Interviews
RACER:一种由法学硕士支持的方法,用于半结构化心理健康访谈的可扩展分析
- DOI:
10.48550/arxiv.2402.02656 - 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Satpreet H Singh;Kevin Jiang;Kanchan Bhasin;Ashutosh Sabharwal;N. Moukaddam;Ankit B. Patel - 通讯作者:
Ankit B. Patel
Principles for virtual health care to deliver real equity in diabetes.
实现糖尿病真正公平的虚拟医疗保健原则。
- DOI:
10.1016/s2213-8587(21)00176-5 - 发表时间:
2021 - 期刊:
- 影响因子:0
- 作者:
D. Kerr;Ashutosh Sabharwal - 通讯作者:
Ashutosh Sabharwal
Patterns of Timing and Intensity of Physical Activity and HbA1c Levels in Hispanic/Latino Adults With or at Risk of Type 2 Diabetes
患有 2 型糖尿病或有风险的西班牙裔/拉丁裔成年人的体力活动时间和强度以及 HbA1c 水平的模式
- DOI:
- 发表时间:
2022 - 期刊:
- 影响因子:5
- 作者:
D. Kerr;Mahsan Abbasi;W. Bevier;Namino Glantz;Arianna J. Larez;Ashutosh Sabharwal - 通讯作者:
Ashutosh Sabharwal
Ashutosh Sabharwal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('Ashutosh Sabharwal', 18)}}的其他基金
Collaborative Research: CNS Core: Large: 4D100: Foundations and Methods for City-scale 4D RF Imaging at 100+ GHz
合作研究:CNS 核心:大型:4D100:100 GHz 城市规模 4D 射频成像的基础和方法
- 批准号:
2215082 - 财政年份:2022
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
Collaborative Research: CNS Core: Medium: Information Freshness in Scalable and Energy Constrained Machine to Machine Wireless Networks
合作研究:CNS 核心:中:可扩展且能量受限的机器对机器无线网络中的信息新鲜度
- 批准号:
2106993 - 财政年份:2021
- 资助金额:
$ 5万 - 项目类别:
Continuing Grant
Collaborative Research: CCRI: New: RFDataFactory: Principled Dataset Generation, Sharing and Maintenance Tools for the Wireless Community
合作研究:CCRI:新:RFDataFactory:无线社区的原则性数据集生成、共享和维护工具
- 批准号:
2120363 - 财政年份:2021
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
Collaborative Research: Computational Photo-Scatterography: Unraveling Scattered Photons for Bio-Imaging
合作研究:计算光散射术:解开生物成像的散射光子
- 批准号:
1730574 - 财政年份:2018
- 资助金额:
$ 5万 - 项目类别:
Continuing Grant
MRI: Development of ScaleMed: A Platform for Scalable mHealth Research and Development
MRI:ScaleMed 的开发:可扩展的移动医疗研究和开发平台
- 批准号:
1429047 - 财政年份:2014
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
NeTS: Large: Collaborative Research: Foundations of Hierarchical Full-Duplex Wireless Networks
NeTS:大型:协作研究:分层全双工无线网络的基础
- 批准号:
1314822 - 财政年份:2013
- 资助金额:
$ 5万 - 项目类别:
Continuing Grant
Student Travel Support for mHealthSys 2012
mHealthSys 2012 学生旅行支持
- 批准号:
1258389 - 财政年份:2012
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
NeTS: Medium: Collaborative Research: Information Architectures for Femto-Aided Cellular Networks
NeTS:媒介:协作研究:毫微微辅助蜂窝网络的信息架构
- 批准号:
1161596 - 财政年份:2012
- 资助金额:
$ 5万 - 项目类别:
Continuing Grant
EAGER: Collaborative Research: CIF: Exploring the Fundamentals of Multihop Multiflow Wireless Networks
EAGER:协作研究:CIF:探索多跳多流无线网络的基础知识
- 批准号:
1144041 - 财政年份:2011
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
相似国自然基金
人体中取代多环芳烃DNA加合物的非侵入性精准测量
- 批准号:22374020
- 批准年份:2023
- 资助金额:50 万元
- 项目类别:面上项目
非侵入性40Hz光刺激通过海马节律基因Arntl抑制铁死亡改善七氟烷发育期神经毒性的机制研究
- 批准号:82301448
- 批准年份:2023
- 资助金额:30 万元
- 项目类别:青年科学基金项目
光激活mRNA药物用于斑块型银屑病非侵入性基因治疗的作用和机制研究
- 批准号:82304063
- 批准年份:2023
- 资助金额:30 万元
- 项目类别:青年科学基金项目
基于长程相关性模型和自适应扫描的非侵入式散射成像技术
- 批准号:12374271
- 批准年份:2023
- 资助金额:53 万元
- 项目类别:面上项目
PV神经元介导的γ振荡在非侵入性40Hz声光刺激抑制七氟烷发育期神经毒性中的作用及机制研究
- 批准号:
- 批准年份:2022
- 资助金额:52 万元
- 项目类别:面上项目
相似海外基金
I-Corps: Non-Invasive Software Tool for Risk Assessment of Intracranial Aneurysms (IA)
I-Corps:用于颅内动脉瘤 (IA) 风险评估的非侵入性软件工具
- 批准号:
2402381 - 财政年份:2024
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
I-Corps: Non-invasive intracranial pressure sensing
I-Corps:无创颅内压传感
- 批准号:
2321547 - 财政年份:2023
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
I-Corps: Non-invasive Indirect Calorimetry using Transdermal Optical Sensors for Diagnosis and Treatment of Metabolic Diseases
I-Corps:使用透皮光学传感器进行非侵入性间接量热法诊断和治疗代谢性疾病
- 批准号:
2324768 - 财政年份:2023
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
Non-invasive neurosurgical planning with Random Matrix Theory MRI
利用随机矩阵理论 MRI 进行无创神经外科规划
- 批准号:
10541655 - 财政年份:2022
- 资助金额:
$ 5万 - 项目类别:
I-Corps: Non-invasive, touch-based, natural sweat glucose sensor
I-Corps:非侵入式、触摸式、自然汗液葡萄糖传感器
- 批准号:
2233076 - 财政年份:2022
- 资助金额:
$ 5万 - 项目类别:
Standard Grant