Quantitative topographic endoscopy for improved screening of non-polypoid colorectal neoplasms

项目摘要 该项目将创建和评估新的光学成像和计算技术，目标是 提高结肠镜筛查中癌前非息肉样病变的检出率。识别 切除这些细微的病变对于提高结肠镜检查的保护价值，降低死亡率至关重要。 得了结肠直肠癌然而，目前的非息肉样病变检测方法在很大程度上不成功 因为它们很耗时，需要专门的培训（色素内窥镜），或者它们开始时 图像对比度（传统视频的软件分析）。这个项目的重点是开发一种新的技术， 称为定量地形内窥镜（QTE），通过改良的光学测量结肠表面特性， 商业结肠镜。该提案的关键创新是利用结构化照明， 计算机视觉和光学工程的概念，以获取结肠表面的高分辨率3D图像 通过定制的内窥镜该项目将通过三个具体目标来实施：（1）制定一个 小型化，定量，高分辨率的地形系统，（2）实施QTE在修改后的商业 结肠镜准备用于临床测试，以及（3）确定QTE在体模模型中的有效性及其临床应用 在一个试点人类研究的可行性。在这个项目中开发的QTE系统将在组织模拟中进行测试 在离体切除的结肠样本中， 目标是从复杂组织中准确重建表面形状，并在一项试点人体研究中， 获得非息肉样病变的表面形貌。除了增加非息肉样病变的检出率外， QTE有可能解决结肠镜检查的其他局限性，包括防止遗漏息肉样病变， 为切除和丢弃策略分类病变，并改善结肠镜检查质量指标。另夕h 开发一个被批准用于人体研究的QTE系统将作为未来临床研究的平台。 评估其他光学技术，如空间频域成像和散斑成像， 各种胃肠病学应用。

Project Summary This project will create and assess new optical imaging and computational technologies with the goal of improving the detection rates of precancerous, non-polypoid lesions during colonoscopy screening. Identifying and removing these subtle lesions is critical to improving the protective value of colonoscopy in reducing mortality from colorectal cancer. However, current approaches to non-polypoid lesion detection are largely unsuccessful because they are time-consuming and require specialized training (chromoendoscopy), or they start with poor image contrast (software analysis of conventional video). This project focuses on developing a novel technique, called quantitative topographic endoscopy (QTE), that optically measures colon surface properties via a modified commercial colonoscope. The key innovation in this proposal is to utilize structured illumination and build on concepts from computer vision and optical engineering to acquire high-resolution 3D images of the colon surface through a custom endoscope. The project will be implemented through three specific aims: (1) develop a miniaturized, quantitative, high-resolution topography system, (2) implement QTE in a modified commercial colonoscope ready for clinical testing, and (3) determine the validity of QTE in a phantom model and its clinical feasibility in a pilot human study. QTE systems developed in this project will be tested in tissue-mimicking phantoms with a goal of achieving better than 1-mm height sensitivity, in ex-vivo resected colon samples with a goal of accurately reconstructing surface shapes from a complex tissue, and in a pilot human study with the goal of obtaining surface topography non-polypoid lesions. Beyond increasing non-polypoid lesion detection rates, QTE has the potential to address other limitations of colonoscopy, including preventing missed polypoid lesions, classifying lesions for resect-and-discard strategies, and improving colonoscopy quality metrics. Additionally, the development of a QTE system that is approved for human studies will serve as a platform for future clinical assessment of other optical techniques such as spatial frequency domain imaging and speckle imaging in a variety of gastroenterology applications.