NIRFAST

项目描述（由申请人提供）：本项目将开发和传播一个关键的计算资源，用于将近红外光谱（NIRS）集成到磁共振成像（MRI）中。在MRI中无缝使用光谱的方法是允许从MR图像体积通过有限元网格开发到光谱拟合和显示覆盖在MR图像上的光谱图像的灵活流动。现有的软件NIRFAST已经可以做到这一点，并且已经分发给十几个研究中心，希望在图像引导设置中使用近红外光谱。这个项目将把软件定制成一个真正的开源共享软件模式，用户可以免费下载，并可以为未来的版本更新。将为参与的临床站点提供现场用户培训，以便开展一项多中心试验，研究MRI引导下的近红外成像在乳腺癌中的应用，以确定这种方法在MRI的辅助下是否有可能减少MR乳房检查假阳性的数量。这种软件开发和分发模型将提供必要的软件工具，以便在多中心方式下进行临床试验。NCI赞助的成像转化研究网络（NTR）的参与站点将使用该软件和他们现有的资金参与研究，并将数据提供给一个数据库。结果数据将被分析并用于证明NIRFAST软件可以提供一个协作的学术平台，从这个平台上可以接受这种新的成像技术。该软件的特定更新将允许更灵活地使用薄组织，并通过临床前实验和受试者数据验证代码。该项目的总体组织将由达特茅斯学院和埃克塞特学院的研究人员共同负责，作为一种合作开发。

DESCRIPTION (provided by applicant): This project will develop and disseminate a key computational resource for integration of Near-Infrared Spectroscopy (NIRS) into Magnetic Resonance Imaging (MRI). The way to seamlessly use spectroscopy within MRI is to allow a flexible flow from MR image volumes through finite element mesh developed to spectroscopy fitting and display of spectral images overlying the MR images. The software existing, called NIRFAST, can already do this, and has been distributed to over a dozen research centers, wishing to use NIRS within an image guided setting. This project will customize the software into a truly open source shareware mode, where it is freely downloadable and can be updated by users for future versions. Onsite user training will be provided for participating clinical sites to allow development of a multicenter trial to study MRI- guided NIRS in breast cancer, to determine if this approach to an add-on to MRI could potentially reduce the number of false positive MR breast exams. This software development and distribution model will provide essential software tools needed before a clinical trial can be done in a multicenter manner. Participating sites in the NCI sponsored Network for Translational Research in Imaging (NTR) will each use the software with their existing funding to participate in the study, and contribute data to a pool. The resulting data will be analyzed and used to demonstrate that NIRFAST software can provide a collaborative academic platform from which acceptance of this new imaging technology can come. Specific updates to the software will allow more flexible use to thin tissues and validation of the code with pre-clinical experimental and subject data. Overall organization of the project will be shared between Dartmouth and Exeter investigators, as a collaborative development. PUBLIC HEALTH RELEVANCE: The relevance of this project is that it will provide key software to multiple investigators to try integration of Near-Infrared Spectroscopy into Magnetic Resonance imaging of breast cancer, and thereby provide radiologists more molecular-specific information about the lesions they are assessing in the image. Spectroscopy can only be used when realistically integrated into the image display, as is planned in this software development. The project will develop this, and allow multicenter collaboration on a study to show that it can be integrated into existing Magnetic resonance imaging systems.