Standard Database for CT Lung Images

CT 肺部图像标准数据库

• 批准号: 6522667
• 负责人: Samuel G. Armato
• 金额: $ 27.98万
• 依托单位: UNIVERSITY OF CHICAGO
• 依托单位国家: 美国
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-08-20 至 2006-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6522667
• 关键词: bioimaging /biomedical imaging; cancer information system; clinical research; computed axial tomography; computer system design /evaluation; cooperative study; human subject; image processing; lung neoplasms

The broad, long-term objective of this research proposal is to create a publicly available standard database of spiral computed tomography (CT) lung images. This lung image database will become an essential resource for the development of computer-aided diagnostic (CAD) techniques designed to help radiologists identify lung cancer in CT scans. The need for a standard lung image database is based on two recent developments. The first is the advancement of multi-slice CT scanners, which acquire images of multiple anatomic sections during each gantry rotation. Consequently, these scanners may generate an extensive amount of image data. The second development is the growing awareness among the American public and clinicians of the potential benefits of lung cancer screening using a low-dose spiral CT protocol. These developments are expected to dramatically increase the burden on radiologists. Moreover, primary interpretation from softcopy display will become a practical necessity. What emerges from this scenario is a requirement for automated image processing methods that provide radiologists with quantitative information about suspicious abnormalities in the CT image data. Radiologists will then incorporate this information into their diagnostic decision-making process, with the expectation that cancer-detection sensitivity may be improved while decreasing both observer variability and interpretation time. Creation of a standard lung image database is critical to the endeavor of imaging research. This proposal addresses the important clinical and technical issues relevant to the creation of such a database. The specific aims of the proposed research are: (1) to identify the clinical requirements that must be imposed on a standard CT lung image database, (2) to address the technical issues and criteria involved with case selection for the CT lung image database, (3) to collect cases for the CT lung image database as a member of the Lung Image Database Consortium, (4) to develop strategies for the assessment of image processing and CAD methods using the CT lung image database, and (5) to investigate the effect of image reconstruction, multi-modality image registration, and registration of images acquired at different times on the utility of the CT lung image database. As a member of the Consortium, we would demonstrate the flexibility necessary to reach consensus on the creation of a database that will serve as a standard resource for imaging research. The ideas resented in this proposal are expected to stimulate the efforts of the Consortium toward that goal.

该研究建议的广泛长期目标是创建螺旋计算机断层扫描（CT）肺图像的公开标准数据库。该肺图像数据库将成为开发计算机辅助诊断（CAD）技术的重要资源，旨在帮助放射科医生在CT扫描中识别肺癌。对标准肺图像数据库的需求基于最近的两个发展。首先是多片CT扫描仪的进步，该扫描仪在每个龙门旋转过程中获取多个解剖部分的图像。因此，这些扫描仪可能会生成大量的图像数据。第二发展是美国公众和临床医生对使用低剂量螺旋CT方案进行肺癌筛查的潜在益处的认识。这些发展有望大大增加放射科医生的负担。此外，来自软拷贝显示的主要解释将成为实际的必要性。从这种情况下出现的是自动图像处理方法的要求，该方法为放射科医生提供有关CT图像数据中可疑异常的定量信息。然后，放射科医生将将这些信息纳入其诊断决策过程中，并期望可以提高癌症检测灵敏度，同时降低观察者的可变性和解释时间。标准肺图像数据库的创建对于成像研究的努力至关重要。该提案解决了与创建此类数据库有关的重要临床和技术问题。拟议研究的具体目的是：（1）确定必须在标准CT肺图像数据库上施加的临床要求，（2）解决CT肺图像数据库中案例选择涉及的技术问题和标准，（3）收集案例，以收集CT肺部图像数据库的案例，以评估肺部图数据库的成员（4）策略（4），该策略（4 CT肺图像数据库和（5）研究图像重建，多模式图像注册的影响以及在不同时间获得的图像对CT肺图像数据库的实用性的效果。作为财团的成员，我们将证明对创建数据库达成共识所必需的灵活性，该数据库将作为成像研究的标准资源。期望在该提案中引起的思想会激发财团朝着该目标的努力。