Quantitative Endoscopic Measurement of Anatomy

描述（申请人提供）：视频内窥镜在临床诊断和介入性应用中有着广泛的应用。然而，目前的视频内窥镜系统不支持重建和定量测量观察解剖。然而，从视频图像中进行测量和建模的能力具有许多潜在的临床应用，例如确定肿瘤的大小，监测病变大小随时间的变化，或计算解剖结构的面积、大小或体积测量。同时，视频图像重建算法的最新进展为创建定量内窥镜测量（QEM）系统的方法提供了机会。拟议项目的目标是确定QEM是否可能可用作常规诊断或介入性成像方式。为了做到这一点，我们打算在一个特定的，急性临床需要的背景下开发和评估一个原型系统：儿童气道狭窄的测量。这是QEM的理想测试应用，因为目前进行气道大小调整的方法是侵入性的，而且精确度有限。此外，提供一种新的、更准确的模式将有可能更好地监测和治疗这种疾病。因此，该项目的具体目标是：

DESCRIPTION (provided by applicant): Video endoscopy is widely used in both diagnostic and interventional clinical applications. However, current video endoscopy systems do not support reconstruction and quantitative measurement of viewed anatomy. Yet, the ability to measure and model from video images has a number of potential clinical applications such as sizing a tumor, monitoring the change in size of a lesion over time, or computing area, size, or volume measurements of anatomy. At the same time, recent advances in algorithms for reconstruction from video images offer the opportunity of creating methods for quantitative endoscopic measurement (QEM) systems. The goal of the proposed project is to determine whether QEM is potentially usable as a routine diagnostic or interventional imaging modality. To do so, we intend to develop and evaluate a prototype system in the context of a specific, acute clinical need: the measurement of stenosis in pediatric airways. This is an ideal test application for QEM, as the current method of performing airway sizing is invasive, and it has a limited degree of accuracy. Furthermore, providing a new, more accurate modality would potentially enable better monitoring and treatment of this disease. The specific aims for this project are thus: 1. Aim 1: Develop a clinically deployable endoscopic data collection system. 2. Aim 2: Develop and validate algorithms for computing geometric properties of anatomic surfaces from a tracked video endoscope. 3. Aim 3: Demonstrate the feasibility of QEM in a controlled clinical setting. Finally, it is important to emphasize that, while we are focused on a specific clinical setting, the basic capabilities described here will have a much broader impact. Optical and video endoscopic devices are widely used in many areas of diagnosis and surgery. The ability to easily capture the full geometry of airways, sinus cavities, and so forth will open the door to a number of other scientific and clinical investigations. For example, it would become possible to perform repeat imaging to track the effect of treatment, and to perform in-office diagnostic procedures that currently rely on more expensive CT or MR imaging. Project Narrative: The proposed project will develop methods for computing accurate models of anatomy from endoscopic data. It will be specifically applied to a clinical problem of high relevant: the sizing of airway obstructions in young children. However, the possibility of performing simple, safe sizing of anatomic structures has wide relevant in many areas of medicine.