NATIONAL ALLIANCE-MEDICAL IMAGING COMPUTING

国家医学影像计算联盟

• 批准号: 7955628
• 负责人: Ron Kikinis
• 金额: $ 0.34万
• 依托单位: UNIVERSITY OF CALIFORNIA LOS ANGELES
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-08-01 至 2010-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7955628
• 关键词: Algorithms; Arts; Automobile Driving; Biological; Brain; Communities; Computational algorithm; Computer Retrieval of Information on Scientific Projects Database; Computer Vision Systems; Computers; Data; Development; Diffusion Magnetic Resonance Imaging; Disease; Environment; Etiology; Foundations; Funding; Genomics; Grant; Image; Image Analysis; Imagery; Individual; Institution; Medical; Medical Imaging; Medical Research; Metabolic; Methods; Microscopic; Modality; Modeling; Neurosciences; Organ; Patients; Pattern; Play; Population; Positron-Emission Tomography; Research; Research Infrastructure; Research Personnel; Resources; Role; Schizophrenia; Scientist; Software Engineering; Source; Structure; System; Techniques; Technology; Time; Training; United States National Institutes of Health; Vision research; base; computational anatomy; computerized tools; egg; nervous system disorder; open source; programs; receptor; software development; tool

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.

该子项目是利用该技术的众多研究子项目之一 资源由 NIH/NCRR 资助的中心拨款提供。子项目和 研究者 (PI) 可能已从 NIH 的另一个来源获得主要资金， 因此可以在其他 CRISP 条目中表示。列出的机构是 对于中心来说，它不一定是研究者的机构。 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、跨学科团队，他们开发用于医学图像数据分析和可视化的计算工具。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，然后监督这些工具向医学研究界的培训和传播。这个世界一流的软件和开发环境是加速医学研究界易于使用的计算工具的开发和部署的基础。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“极限”编程技术）相结合，以实现对基础神经科学和神经系统疾病。在开发该基础设施资源时，该团队将显着扩展经过验证的开放系统技术和平台。驱动性的生物学项目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的解剖结构和连接模式，长期以来人们认为大脑的紊乱在精神分裂症的病因学中发挥着重要作用。总体分析将在一系列尺度上进行，并且将在一系列模式中进行，包括扩散 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。它将适用于来自个体患者的图像数据，以及针对大量人群进行的研究。这些数据将从广泛的时间范围内的受试者身上获取，并最终适用于广泛器官的广泛疾病。