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

• 批准号: 1747692
• 负责人: Ashutosh Sabharwal
• 金额: $ 5万
• 依托单位: William Marsh Rice University
• 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: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1747692&HistoricalAwards=false
• 关键词: Corps; Non; invasive; Camera; based

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.

这个i-Corps项目的更广泛的影响/商业潜力是评估一种能够可靠地测量血液灌流的新成像设备的商业潜力。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液流动，从而帮助他们在手术室做出更好的临床决策，减少手术后并发症的发生率，从而全面降低医疗成本。目前最先进的血流灌注成像技术要么是基于向血流中注射造影剂，因此具有侵入性，因此具有潜在的副作用，要么基于复杂的基于激光的成像设备，在手术中可能难以操作。这里开发的系统仅依靠观察点的视频记录来可靠地估计血液灌注量，因此既无创又易于使用。除了外科手术外，该系统还有可能用于监测重症监护患者，也可以作为足科的护理点设备，特别是用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、基于相机的临床准确的血液灌流测量系统。该系统使用低成本、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。关键的创新在于：(I)来自多个传感器的数据融合-相机和脉搏血氧计，(Ii)一种新的计算成像和信号处理算法来从皮肤表面的视频中恢复皮肤下的血液灌流，以及(Iii)一种新的方法来补偿成像组织表面的运动。这项技术不仅可以处理皮肤表面等外部组织的视频记录，还可以处理内部组织和器官的视频记录，例如在使用腹腔镜进行微创手术期间。该系统已成功地用于检测血管部分和完全闭塞期间血液灌注量的微小变化。