Advanced PET/CT Fusion Workstation for Cancer Management

用于癌症管理的先进 PET/CT 融合工作站

• 批准号: 6877424
• 负责人: SAYAN PATHAK
• 金额: $ 35.59万
• 依托单位: INSIGHTFUL CORPORATION
• 依托单位国家: 美国
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-04-01 至 2006-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6877424
• 关键词: bioimaging /biomedical imaging; clinical research; computed axial tomography; computer assisted patient care; computer data analysis; computer program /software; computer system design /evaluation; human data; image guided surgery /therapy; image processing; mathematical model; patient care management; positron emission tomography

DESCRIPTION (provided by applicant): Cancer management using positron emission tomography (PET) imaging is rapidly expanding its role in clinical practice. The high sensitivity of PET to locate cancer can be confounded by the minimal anatomical information it provides. Additional anatomical information would greatly benefit diagnosis, staging, therapy planning and treatment monitoring. Computed tomography (CT) provides detailed anatomical information but is less sensitive towards cancer localization than PET. Combining PET and CT images would enable accurate localization of the functional information with respect to detailed patient anatomy. In clinical settings, most PET/CT image fusion is currently performed using primitive software solutions or using the new class of combined PET/CT scanners. A more general solution to this problem could be used with the existing large installed base of individual PET and CT scanners, which will continue to expand. Furthermore, making this available on the physicians' desktop computer (independent of the scanner manufacturer) along with improved display options will greatly increase the clinical efficacy of fusion technology. The broad, long-term goal of this research and development effort is to develop and validate an advanced PET/CT fusion workstation for analyzing PET/CT whole-body images. The key to the success of the proposed work will be (1) designing a solution that is robust, fast and requires minimum user interactions, and (2) provides a variety of options for displaying and analyzing the fused data. Phase I work will focus on algorithm development and initial prototyping of a fusion display. In Phase II we will validate the quality of our system using PET/CT lung data sets of cancer patients. Further algorithmic and PET/CT fusion display enhancements will also be conducted in Phase II.

描述（由申请人提供）： 使用正电子发射断层扫描 (PET) 成像的癌症管理正在迅速扩大其在临床实践中的作用。 PET 定位癌症的高灵敏度可能会因其提供的解剖信息极少而变得混乱。额外的解剖信息将极大地有益于诊断、分期、治疗计划和治疗监测。 计算机断层扫描 (CT) 可提供详细的解剖信息，但对癌症定位的敏感性不如 PET。结合 PET 和 CT 图像将能够根据详细的患者解剖结构准确定位功能信息。在临床环境中，大多数 PET/CT 图像融合目前是使用原始软件解决方案或使用新型组合 PET/CT 扫描仪进行的。 针对这个问题的更通用的解决方案可以与现有的大型个人 PET 和 CT 扫描仪安装基数一起使用，并且该安装基数将继续扩大。此外，在医生的台式计算机上（独立于扫描仪制造商）提供此功能以及改进的显示选项将大大提高融合技术的临床功效。 这项研发工作的广泛、长期目标是开发和验证先进的 PET/CT 融合工作站，用于分析 PET/CT 全身图像。所提出的工作成功的关键是（1）设计一个稳健、快速且需要最少用户交互的解决方案，以及（2）提供用于显示和分析融合数据的各种选项。 第一阶段的工作将侧重于算法开发和融合显示器的初始原型设计。在第二阶段，我们将使用癌症患者的 PET/CT 肺部数据集验证我们系统的质量。进一步的算法和 PET/CT 融合显示增强功能也将在第二阶段进行。