SBIR Phase II: Label-free imaging for real-time, intraoperative blood vessel visualization

SBIR II 期:用于实时术中血管可视化的无标记成像

基本信息

  • 批准号:
    1660240
  • 负责人:
  • 金额:
    $ 75万
  • 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:
    2017-05-15 至 2021-04-30
  • 项目状态:
    已结题

项目摘要

The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project is to develop a novel, intraoperative imaging technology to address the problem of inadvertent cuts to vasculature during minimally invasive surgeries. More than 17% of patients who undergo these types of in-patient surgeries suffer from an intraoperative bleeding event. When a vessel is injured, there is a higher probability of hospital borne infection due to the loss of blood, and the added cost of care per patient increases by thousands of dollars due to corrective action and extended length of stay for the patient. The risk of vascular injury is compounded by risk factors, such as obesity, which limit the surgeon's ability to visualize and navigate vasculature. Therefore, there is a critical need to identify and assess hidden vasculature in real time. The proposed technology helps identify blood vessel before a cut is made. Importantly, this system will be designed for seamless integration into a suite of surgical instruments for multiple applications. Long term, the company will provide surgeons with the preeminent imaging platform to view, assess, and characterize a range of vessels (i.e. arteries/veins, ureters and bile ducts) in real-time for improved surgical guidance and outcomes. The proposed project will develop a novel blood vessel detection and visualization platform using low-cost optical imaging sensors and light-emitting diodes (LEDs). The proposed technology will provide visual and quantitative information about vessel presence and size in real-time that can supplement a surgeon's technique. This system will be simple, cost-effective, easy to employ, and highly accurate. Traditionally, the avoidance of blood vessels during minimally invasive surgery is accomplished by visualization or costly intraoperative imaging. The proposed technology will use pulsatile light absorption characteristics of blood vessels to provide quantitative information about vessel presence and size in real-time, supplementing a surgeon's technique. This project will also add significant value to the body of research conducted in the areas of signal processing and image analysis. In addition, the proposed technology will remove the risk of data loss due to artifacts in general and motion artifacts in particular. The proposed technology will be validated ex vivo and in vivo using a porcine animal model.
这个小企业创新研究(SBIR)第一阶段项目的更广泛的影响/商业潜力是开发一种新的术中成像技术,以解决微创手术中无意割伤血管的问题。超过17%的接受这类住院手术的患者会出现术中出血事件。当血管受伤时,由于失血,医院传播感染的可能性更高,并且由于纠正措施和患者住院时间的延长,每位患者的额外护理成本增加了数千美元。血管损伤的风险由于肥胖等危险因素而加剧,这限制了外科医生观察和导航血管系统的能力。因此,迫切需要实时识别和评估隐藏的血管系统。这项新技术有助于在切割之前识别血管。重要的是,该系统将被设计为无缝集成到一套手术器械中,用于多种应用。从长远来看,该公司将为外科医生提供卓越的成像平台,实时查看、评估和表征一系列血管(即动脉/静脉、输尿管和胆管),以改善手术指导和结果。该项目将利用低成本光学成像传感器和发光二极管(led)开发一种新型血管检测和可视化平台。所提出的技术将提供血管存在和大小的实时可视化和定量信息,可以补充外科医生的技术。该系统简单,成本效益高,易于使用,精度高。传统上,在微创手术中避免血管是通过可视化或昂贵的术中成像来完成的。提出的技术将利用血管的脉动光吸收特性,实时提供血管存在和大小的定量信息,补充外科医生的技术。该项目还将为信号处理和图像分析领域的研究增添重要价值。此外,所提出的技术将消除由于一般的伪影,特别是运动伪影而导致的数据丢失的风险。所提出的技术将在猪动物模型的体外和体内进行验证。

项目成果

期刊论文数量(2)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Intraoperative blood vessel detection and quantification: a Monte Carlo study
  • DOI:
    10.1117/1.jbo.23.6.067002
  • 发表时间:
    2018-06-01
  • 期刊:
  • 影响因子:
    3.5
  • 作者:
    Chaturvedi, Amal;Shukair, Shetha A.;Subramanian, Hariharan
  • 通讯作者:
    Subramanian, Hariharan
Blood vessel detection, localization and estimation using a smart laparoscopic grasper: a Monte Carlo study
  • DOI:
    10.1364/boe.9.002027
  • 发表时间:
    2018-05-01
  • 期刊:
  • 影响因子:
    3.4
  • 作者:
    Chaturvedi, Amal;Shukair, Shetha A.;Subramanian, Hariharan
  • 通讯作者:
    Subramanian, Hariharan
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Jonathan Gunn其他文献

Development of Novel Lipid Nanoparticles and Virus-like Particles for In Vivo Engineering of Immune Cells for Targeted Cancer Therapy
  • DOI:
    10.1182/blood-2023-184312
  • 发表时间:
    2023-11-02
  • 期刊:
  • 影响因子:
  • 作者:
    Jesus Beltran-Garcia;Sangwoo Han;Barbara S. Perez;Jonathan Gunn;Ester Kwon;Dan Kaufman
  • 通讯作者:
    Dan Kaufman
Characterizing DNA Nanotube Networks Assembled via Y-Junction DNA Origami Seeds
  • DOI:
    10.1016/j.bpj.2018.11.1475
  • 发表时间:
    2019-02-15
  • 期刊:
  • 影响因子:
  • 作者:
    Michael S. Pacella;Ruby Liu;Jasen Zhang;Tiffany Hou;Jonathan Gunn;Paul Vallejo;Pragya Singh;Marc Bordui;Altarash Barthakur;Rebecca Schulman
  • 通讯作者:
    Rebecca Schulman

Jonathan Gunn的其他文献

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{{ truncateString('Jonathan Gunn', 18)}}的其他基金

SBIR Phase I: Label-free imaging for real-time, intraoperative blood vessel visualization
SBIR 第一阶段:无标记成像,用于实时术中血管可视化
  • 批准号:
    1520502
  • 财政年份:
    2015
  • 资助金额:
    $ 75万
  • 项目类别:
    Standard Grant

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基于Phase-type分布的多状态系统可靠性模型研究
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