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Active Detector Dual Energy Chest Radiography CAD

主动探测器双能胸部放射线摄影 CAD

基本信息

批准号：
6552200
负责人：
Robert Alvarez
金额：
$ 10万
依托单位：
APREND TECHNOLOGY
依托单位国家：
美国
项目类别：
财政年份：
2002
资助国家：
美国
起止时间：
2002-08-01 至 2003-03-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/6552200
关键词：
bioimaging /biomedical imaging biomedical equipment development calcium clinical research computer assisted diagnosis diagnosis design /evaluation electron optics high risk behavior /lifestyle human data lung neoplasms thoracic radiography

项目摘要

DESCRIPTION (provided by applicant): The specific aim of our proposed research is to develop an improved, computer-assisted detection and characterization (CAD) system for lung nodules in chest x-ray images. The overall objective is to improve the performance of chest radiography so it will provide a viable lung cancer screening method while retaining its low dose, ease of use and low cost. According to a recent paper, "Today, lung cancer is most often diagnosed on the basis of symptoms of advanced disease or when chest x-rays are taken for a variety of purposes unrelated to lung cancer detection. Unfortunately, in the United States no society or governmental agency recommends screening, even for patients with high risks, such as smokers with airflow obstruction or people with occupational exposures, including asbestos." Our approach provides significant technological innovation in two respects. First, unlike almost all previous work, we will use dual energy images. These provide data, unavailable from conventional radiographs, with significant advantages for CAD. It can be used to compute separate images of body structures with different composition. For example, one image contains only soft-tissue structures while another displays only structures containing high atomic number materials, such as calcium. The soft tissue image eliminates rib shadows, which are a principal source of errors in chest radiography CAD. The high atomic number tissue image can be used to compute a sensitive indicator of whether a nodule contains calcium, an important factor in a benign vs. malignant diagnosis. The conventional radiograph is also available so its data can be combined with the dual energy data to improve overall accuracy. A second innovation is the use of a new type of dual energy detector, which we call an "active detector." The active detector uses a new electro-optical approach to provide data with a much larger difference in average energy than previous dual energy detectors. As a result, clinical quality images can be made with one-fourth the dose of the current state-of-the-art. In Phase I, we will develop and implement a first version of an active detector dual energy CAD system. We will show its feasibility with existing images made with our prototype installed at the University of California, Davis Medical Center.

描述（由申请人提供）：我们提出的研究的具体目标是开发一种改进的计算机辅助检测和表征（CAD）系统，用于胸部X射线图像中的肺结节。总体目标是提高胸部X线摄影的性能，使其提供一种可行的肺癌筛查方法，同时保持其低剂量，易用性和低成本。根据最近的一篇论文，“今天，肺癌最常被诊断为晚期疾病的症状，或者当胸部X光片被用于与肺癌检测无关的各种目的时。不幸的是，在美国，没有一个社会或政府机构建议进行筛查，即使是高风险的患者，如气流阻塞的吸烟者或职业暴露的人，包括石棉。“我们的方法在两个方面提供了重大的技术创新。首先，与几乎所有以前的工作不同，我们将使用双能量图像。这些提供的数据，无法从传统的射线照片，具有显着的优势，CAD。它可用于计算具有不同组成的身体结构的单独图像。例如，一个图像仅包含软组织结构，而另一个图像仅显示包含高原子序数材料（例如钙）的结构。软组织图像消除了肋骨阴影，这是胸部X线摄影CAD中的主要误差来源。高原子序数组织图像可用于计算结节是否含有钙的敏感指标，这是良性与恶性诊断中的重要因素。传统的射线照片也是可用的，因此其数据可以与双能量数据相结合，以提高整体准确性。第二个创新是使用了一种新型的双能量探测器，我们称之为“主动探测器”。“有源探测器使用一种新的电光方法，提供的数据平均能量比以前的双能量探测器大得多。因此，临床质量的图像，可以与四分之一的剂量，目前的国家的最先进的。在第一阶段，我们将开发和实施的第一个版本的主动探测器双能量CAD系统。我们将展示其可行性与现有的图像与我们的原型安装在加州大学戴维斯医学中心。