I-Corps: Low-complexity Asynchronous Re-sampler for Optical Coherence Tomography

该I-Corps项目的更广泛影响/商业潜力是基于通过提供高质量、高速的组织成像解决方案来显著提高眼部相关疾病诊断的准确性和降低成本。具体而言，该项目将缩短临床扫描时间，从而提高图像分辨率，同时减少所需的患者诊所就诊次数。这些改进直接降低了相关的医疗费用。该项目的目标是创建新一代光学相干断层扫描（OCT），这是一种用于临床实践的技术，可提供视网膜的横截面图像。 目前，OCT临床应用面临的最大挑战是扫描速度慢，导致图像分辨率低，因此临床体验不满意。OCT系统需要高质量、高速的信号处理工具来进行可靠的临床决策和疾病监测。I-Corps项目将进一步开发新一代光学相干断层扫描（OCT）。 I-Corps项目将探索该创新的商业潜力，根据实验室测试，该系统能够将扫频源OCT（SS-OCT）设备的信号处理时间减少多达十倍。该设备基于一系列新颖的信号处理算法，可显著提高采集医学图像所需的精度和速度。SS-OCT平台将在图像采集速度、精度和成本方面得到增强。反过来，这将减少患者需要到眼科诊所就诊的次数，同时增加每天就诊患者的整体诊所能力，为这些中心创造更多收入。

The broader impact/commercial potential of this I-Corps project is based on significant improvements in accuracy and cost reduction of eye-related disease diagnosis by providing a high-quality, high-speed tissue imaging solution. Specifically, the project will shorten clinical scan time, and as a result, increase image resolution while reducing the number of required patient clinic visits. These improvements directly lower associated medical costs. The project goal is to create a new-generation of Optical Coherence Tomography (OCT), a technique that is used in the clinical practice to provide cross-sectional images of the retina. Currently, the biggest challenge faced by OCT clinical applications is their slow scan speed, which leads to low image resolutions and therefore unsatisfying clinical experience. A high-quality, high-speed signal processing tool is needed for reliable clinical decision-making and disease monitoring with OCT systems.This I-Corps project will further develop a new-generation of Optical Coherence Tomography (OCT). The I-Corps project will explore the commercial potential of the innovation, a system capable of decreasing the signal processing time of swept source OCT (SS-OCT) devices by up to ten times according to lab tests. This device is based on a family of novel signal processing algorithms that significantly improve the accuracy and speed required for the medical images to be acquired. The SS-OCT platform will be enhanced in terms of the image acquisition speed, accuracy, and cost. This, in turn, will decrease the number of visits a patient needs to make to an ophthalmology clinic while increasing the overall clinic capacity to attend visiting patients per day, generating more revenue for those centers.