NIRFAST

尼法斯特

• 批准号: 7653193
• 负责人: Brian W. Pogue
• 金额: $ 31.48万
• 依托单位: DARTMOUTH COLLEGE
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-06-01 至 2011-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7653193
• 关键词: Air; Algorithms; Animals; Area; Breast; Canada; Clinical; Clinical Trials; Code; Collaborations; Communities; Computer software; Data; Detection; Development; Dimensions; Elements; Equation; Fees; Fluorescence; Funding; Future; General Hospitals; Goals; Gray unit of radiation dose; Hemoglobin; Hybrids; Image; Imagery; Imaging technology; Individual; Knowledge; Laboratories; Lesion; Letters; Licensing; Lipids; Liquid substance; Magnetic Resonance Imaging; Mammary Neoplasms; Medical Research; Methods; Modeling; Molecular; Molecular Medicine; Morphologic artifacts; Multicenter Trials; Near-Infrared Spectroscopy; Neoadjuvant Therapy; Neoplasm Metastasis; Output; Pennsylvania; Phase; Positron-Emission Tomography; Process; Radiation; Recovery; Research; Research Personnel; Scanning; Series; Site; Software Tools; Source Code; Spectrum Analysis; Structure; Study of magnetics; System; Testing; Tissues; Tracer; Training; Translational Research; Universities; Update; Validation; Vendor; Washington; Water; Work; X-Ray Computed Tomography; absorption; base; chemotherapy; chromophore; clinical application; clinical research site; commercialization; computing resources; cyanine dye; flexibility; graphical user interface; image reconstruction; imaging modality; interest; malignant breast neoplasm; open source; optical imaging; pre-clinical; prototype; public health relevance; radiologist; reconstruction; response; software development; tomography; tool

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.

描述（由申请人提供）：该项目将开发和传播将近红外光谱 (NIRS) 集成到磁共振成像 (MRI) 中的关键计算资源。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灵活地流动，以光谱拟合和显示覆盖 MR 图像的光谱图像。现有的名为 NIRFAST 的软件已经可以做到这一点，并且已分发到十几个希望在图像引导设置中使用 NIRS 的研究中心。该项目将把软件定制成真正的开源共享软件模式，可免费下载，并可由用户更新为未来版本。将为参与临床中心提供现场用户培训，以便开展多中心试验来研究乳腺癌中 MRI 引导的 NIRS，以确定这种 MRI 附加方法是否有可能减少 MR 乳房检查的假阳性数量。该软件开发和分发模型将提供以多中心方式进行临床试验之前所需的基本软件工具。 NCI 赞助的影像转化研究网络 (NTR) 的参与站点将各自使用该软件及其现有资金参与研究，并向池中贡献数据。所产生的数据将被分析并用于证明 NIRFAST 软件可以提供一个协作学术平台，从而可以接受这种新的成像技术。该软件的具体更新将允许更灵活地使用薄组织并使用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和埃克塞特的研究人员共享，作为合作开发。 公共健康相关性：该项目的相关性在于，它将为多名研究人员提供关键软件，以尝试将近红外光谱集成到乳腺癌的磁共振成像中，从而为放射科医生提供有关他们正在评估的病变的更多分子特异性信息在图像中。正如本软件开发中所计划的那样，光谱学只有在实际集成到图像显示中时才能使用。该项目将对此进行开发，并允许多中心合作开展一项研究，以表明它可以集成到现有的磁共振成像系统中。