National Alliance-Medical Imaging Computing (NAMIC)(RMI)

描述(由申请人提供)： 国家医学影像计算联盟(NAMIC)是一个由计算机科学家、软件工程师和医学研究人员组成的多机构、跨学科的团队，他们开发用于分析和可视化医学图像数据的计算工具。该中心的目的是为计算算法和开源技术的开发提供基础设施和环境，然后监督这些工具的培训和向医学研究社区的传播。这种世界级的软件和开发环境是加速开发和部署计算工具的基础，医学研究社区可以随时访问这些工具。该团队将尖端的计算机视觉研究(创建医学成像分析算法)与最先进的软件工程技术(基于分布式、开源环境中的“极端”编程技术)相结合，以实现对基础神经科学和神经疾病的计算检查。在开发这一基础设施资源时，该团队将在经过验证的开放系统技术和平台上进行重大扩展。驱动生物学项目最初将来自对精神分裂症的研究，但这些方法将适用于许多其他疾病。NAMIC开发的计算工具和开放系统技术和平台最初将用于研究大脑的解剖结构和连接模式，长期以来，大脑的错乱一直被认为在精神分裂症的病因中发挥作用。整体分析将在一系列范围内进行，并将通过一系列方式进行，包括扩散磁共振成像、定量EGG、代谢和受体PET，但可能包括显微、基因组和其他图像数据。它将适用于个别患者的图像数据，以及在大量人群中执行的研究。这些数据将从广泛的时间范围内的受试者那里获得，并最终适用于广泛器官中的各种疾病。

DESCRIPTION (provided by applicant): The National Alliance for Medical Imaging Computing (NAMIC) is a multi-institutional, interdisciplinary team of computer scientists, software engineers, and medical investigators who develop computational tools for the analysis and visualization of medical image data. The purpose of the center is to provide the infrastructure and environment for the development of computational algorithms and open source technologies, and then oversee the training and dissemination of these tools to the medical research community. This world-class software and development environment serves as a foundation for accelerating the development and deployment of computational tools that are readily accessible to the medical research community. The team combines cutting-edge computer vision research (to create medical imaging analysis algorithms) with state-of-the-art software engineering techniques (based on "extreme" programming techniques in a distributed, open-source environment) to enable computational examination of both basic neuroscience and neurological disorders. In developing this infrastructure resource, the team will significantly expand upon proven open systems technology and platforms. The driving biological projects will come initially from the study of schizophrenia, but the methods will be applicable to many other diseases. The computational tools and open systems technologies and platforms developed by NAMIC will initially be used to study anatomical structures and connectivity patterns in the brain, derangements of which have long been thought to play a role in the etiology of schizophrenia. The overall analysis will occur at a range of scales, and will occur across a range of modalities including diffusion MRI, quantitative EGG, and metabolic and receptor PET, but potentially including microscopic, genomic, and other image data. It will apply to image data from individual patients, and to studies executed across large populations. The data will be taken from subjects across a wide range of time scales and ultimately apply to a broad range of diseases in a broad range of organs.