AUTOMATIC 3D REGISTRATION FOR ENHANCED CANCER MANAGEMENT

自动 3D 配准以增强癌症管理

• 批准号: 6608879
• 负责人: Charles Raymond Meyer
• 金额: $ 154.75万
• 依托单位: UNIVERSITY OF MICHIGAN AT ANN ARBOR
• 依托单位国家: 美国
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-07-15 至 2007-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6608879
• 关键词: bioimaging /biomedical imaging; clinical research; image processing; imaging /visualization /scanning; method development; neoplasm /cancer diagnosis; neoplasm /cancer therapy; neoplastic growth; statistics /biometry

DESCRIPTION (provided by applicant) Driven by technology development, the oncologist/radiologist is currently under assault by increasing quantities of higher resolution anatomical and functional imaging data. The new LightSpeed CT scanner by GE is but one typical example of such new acquisition devices. It is imperative that new image processing tools be developed to help specialists filter through the massive amounts of data in order to maintain or even improve their sensitivity and specificity in detecting neoplastic changes. We believe that this grant is a significant step in this important direction and represents the best efforts of a truly multidisciplinary team. Automatic 3D Registration for Enhanced Cancer Management is a proposal to support limited, preclinical testing of the ability of advanced image processing techniques to improve the management of cancer by routinely culling more and earlier information for the clinician from existing diagnostic modalities. This program project grant includes a)the use of fMRI for pre (neuro)surgical planning focused on patients with movement disorders associated with lesions near the motor strip who could never remain sufficiently motionless for current fMRI techniques, b) support for lesion change detection and quantification from repeated, interval CT and ultrasound exams in order to monitor and potentially modify therapy plans based on individual patient response, c) automation in defining organs in radiation therapy treatment planning using noncontrast CT data sets, and d) the development of a method using registered CT and PET for reducing false positive nodes called on CT-only chest exams.

描述（由申请人提供） 在技​​术开发的驱动下，肿瘤学家/放射科医生目前是 在攻击下增加了高分辨率的解剖学和 功能成像数据。 GE的新的Lightspeed CT扫描仪不过是 这种新采购设备的典型示例。必须新的 开发图像处理工具以帮助专家通过 大量数据以维持甚至提高其灵敏度 和检测肿瘤变化的特异性。我们相信这笔赠款 是朝这个重要方向迈出的重要一步，代表了最好的 真正的多学科团队的努力。 自动3D注册以增强癌症管理是一项建议 支持有限的高级图像能力的临床前测试 通过常规淘汰来改善癌症管理的处理技术 现有诊断的临床医生的更多信息 方式。该计划项目赠款包括a）fMRI用于PRE （NEURO）手术计划的重点是运动障碍患者 与电动条附近的病变相关 足够一动不动的目前的fMRI技术，b）支持病变 从重复，间隔CT和超声检查更改检测和定量 考试以监视和可能基于 个体患者反应，c）定义辐射器官的自动化 使用非对比度CT数据集的治疗治疗计划，d） 使用注册的CT和PET开发方法来减少假 阳性节点在仅CT的胸部检查中。