NATIONAL ALLIANCE-MEDICAL IMAGING COMPUTING (NAMIC)

这个子项目是许多研究子项目中的一个 由NIH/NCRR资助的中心赠款提供的资源。子项目和 研究者（PI）可能从另一个NIH来源获得主要资金， 因此可以在其他CRISP条目中表示。所列机构为 中心，不一定是研究者的机构。 国家医学成像计算联盟（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界的传播。这种世界一流的软件和开发环境是加速开发和部署医学研究界易于使用的计算工具的基础。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，以实现基础神经科学和神经系统疾病的计算检查。在开发这一基础设施资源的过程中，该团队将大大扩展经过验证的开放系统技术和平台。生物学项目的驱动力最初将来自精神分裂症的研究，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中的解剖结构和连接模式，长期以来，这些结构和连接模式的紊乱被认为在精神分裂症的病因学中发挥作用。总体分析将在一系列尺度下进行，并将在一系列模式中进行，包括弥散MRI、定量EGG以及代谢和受体PET，但可能包括显微镜、基因组和其他图像数据。它将适用于个体患者的图像数据，以及在大规模人群中执行的研究。这些数据将从不同时间范围的受试者中获取，并最终应用于各种器官中的各种疾病。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. 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.