Depth-Resolved Endometrial Imaging

深度分辨子宫内膜成像

• 批准号: 6882623
• 负责人: Marcus Filipovich
• 金额: $ 5.54万
• 依托单位: INFINITE BIOMEDICAL TECHNOLOGIES, LLC
• 依托单位国家: 美国
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-04-08 至 2007-10-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6882623
• 关键词: bioengineering /biomedical engineering; bioimaging /biomedical imaging; biomedical equipment development; computer simulation; endometrium; endoscopy; nanomedicine; nanotechnology; neoplasm /cancer diagnosis; noninvasive diagnosis; phantom model; photonics; radiodiagnosis; technology /technique development; uterus neoplasms

DESCRIPTION (provided by applicant): Endometrial carcinoma is the most common gynecological cancer in the United States, with an estimated incidence of over 40,000 cases per year. Endoscopic imaging is an important diagnostic tool for the evaluation of the uterus, but is typically limited to viewing the surface of the endometrium. Therefore, we propose to develop technology for depth resolved imaging of the endometrium. The innovation lies in a unique aperture-based imaging system, which obtains several photon migration paths in a single image, capture. Our Phase I effort is focused on development and validation of the depth-resolved imaging system in a phantom model. First, we will use Monte Carlo modeling to determine crucial design parameters. These results will then be used to create an aperture-based imaging prototype. Finally, a phantom model will be created and used to evaluate the endoscope's ability to probe a turbid medium. If we are successful, we envision a Phase II effort focused on the development and testing of a clinical grade prototype. It is our long-term goal to develop a tool, which, for the first time, would enable the gynecologist to evaluate and visualize submucosal lesions in an office setting.

描述（由申请人提供）： 子宫内膜癌是美国最常见的妇科癌症，估计每年的发病率超过40，000例。内窥镜成像是评价子宫的重要诊断工具，但通常限于观察子宫内膜的表面。因此，我们建议开发子宫内膜深度分辨成像技术。创新在于一个独特的基于孔径的成像系统，该系统在单个图像捕获中获得多个光子迁移路径。 我们的第一阶段工作的重点是开发和验证的深度分辨成像系统在一个幻影模型。首先，我们将使用蒙特卡罗建模来确定关键的设计参数。这些结果将用于创建基于孔径的成像原型。最后，将创建体模模型并用于评价内窥镜探测混浊介质的能力。 如果我们成功了，我们设想第二阶段的工作重点是开发和测试临床级原型。我们的长期目标是开发一种工具，首次使妇科医生能够在办公室环境中评估和可视化粘膜下病变。