A high efficiency imager for real-time lung cancer monitoring during radiotherapy

描述（由申请人提供）：放射治疗期间肺肿瘤的直接治疗成像，以确保适当的放射靶向是一个尚未解决的挑战。为了克服这一障碍，我们提出利用光束眼视（BEV）成像技术和高效成像仪实现肺肿瘤的实时自动定位。该项目的目标是设计、验证和临床部署新的高效成像仪。我们将首先确定强大的BEV成像所需的规格。为了实现这一目标，新型成像仪的设计将使用新的蒙特卡罗平台进行。闪烁体组成、像素化和多层堆叠将被优化，新的成像仪将在全面部署在放射治疗诊所之前进行验证。除了实时肺肿瘤定位的直接临床效益外，我们预计该项目将加速先进的应用，如

DESCRIPTION (provided by applicant): Direct in-treatment imaging of lung tumors during radiation therapy to ensure proper radiation targeting is an unsolved challenge. We propose to overcome this obstacle using beam's-eye-view (BEV) imaging with a high efficiency imager to automatically localize lung tumors in real-time. The project goal is to design, validate and clinically deploy the new high efficiency imager. We will first determine the specifications necessary for robust BEV imaging. The design of the novel imager to meet this goal will be performed using a new Monte Carlo platform. Scintillator composition, pixelation and stacking of multiple layers will be optimized and the new imager will be validated prior to full scale deployment in a radiation therapy clinic. In addition to the immediate clinical benefits of real-tie lung tumor localization, we anticipate that this project will accelerate advanced applications like tumor tracking, delivered dose accumulation and adaptive radiation therapy. The Monte Carlo platform will also hasten the development of novel imagers for other medical applications beyond this project. Therefore the impact of the project extends far beyond the immediate clinical gain, which is in itself substantial.