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

用于放射治疗过程中实时肺癌监测的高效成像仪

• 批准号: 9318469
• 负责人: Ross I. Berbeco
• 金额: $ 76.85万
• 依托单位: DANA-FARBER CANCER INST
• 依托单位国家: 美国
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-09-01 至 2019-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9318469
• 关键词: Anatomy; Cancer Patient; Clinic; Clinical; Collaborations; Computer software; Dana-Farber Cancer Institute; Data; Development; Dose; Ensure; Eye; Fiber; Geometry; Goals; Image; Imaging Device; Imaging Techniques; Intensity-Modulated Radiotherapy; Internet; Lung; Lung Neoplasms; Malignant neoplasm of lung; Measurement; Medical; Methods; Modeling; Monitor; Motion; Nature; Noise; Online Systems; Patients; Radiation; Radiation therapy; Recording of previous events; Research; Research Personnel; Respiration; System; Testing; Time; Translations; Validation; Work; base; cancer imaging; clinical application; cost; design; experimental study; imaging modality; improved; industry partner; lung imaging; novel; photon-counting detector; pre-clinical; public health relevance; research clinical testing; tool; tumor; virtual

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.

描述（由申请人提供）：放射治疗期间肺部肿瘤的直接处理成像，以确保适当的辐射靶向是未解决的挑战。我们建议使用高效率成像仪的梁的视图（BEV）成像来克服这一障碍，以实时自动定位肺部肿瘤。项目目标是设计，验证和临床部署新的高效率成像仪。我们将首先确定鲁棒BEV成像所需的规格。实现此目标的新成像仪的设计将使用新的蒙特卡洛平台进行。将在放射治疗诊所进行全尺度部署之前验证多层的闪烁体组成，像素化和堆叠。除了实现肺部肿瘤定位的直接临床益处外，我们预计该项目将加速高级应用程序 肿瘤跟踪，递送剂量积累和适应性放射治疗。蒙特卡洛平台还将加快该项目以外的其他医疗应用的新成像仪的开发。因此，该项目的影响远远超出了直接的临床收益，这本身就是很大的。