ACTIVITY 1: BIOMEDICAL IMAGING AND BIOENGINEERING

这个子项目是许多研究子项目中利用 资源由NIH/NCRR资助的中心拨款提供。子项目和 调查员(PI)可能从NIH的另一个来源获得了主要资金， 并因此可以在其他清晰的条目中表示。列出的机构是 该中心不一定是调查人员的机构。 磁共振(MR)图像处理核心的总体目标是提供图像处理支持、基础设施改进和方法开发，以补充和充分利用迅速扩大的支持一系列临床研究的MR研究设施。位于女王医疗中心校园的MR研究设施是夏威夷大学和女王医疗中心的联合项目。磁共振研究设施是围绕西门子3特斯拉磁共振扫描仪建造的。核磁共振图像处理核心的具体目标包括四个主要领域：1)通过图像处理支持分析核磁共振扫描以及开发和分析试点研究；2)基础设施发展，包括升级核磁共振扫描仪、安装本地处理和数据存储计算机、改善互联网连接和改进以优化图像处理流；3)改进方法以开发和验证用于临床研究的图像处理工具；以及4)培训核磁共振研究设施的教职员工和图像处理人员。磁共振图像处理核心的服务将允许更快地发布研究结果，并导致改进对药物滥用和慢性疾病对大脑的影响的评估。

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 overall goal of the Magnetic Resonance (MR) Image-Processing Core is to provide image-processing support, infrastructure improvements and methodological developments to complement and fully utilize a rapidly expanding MR Research Facility that supports an array of clinical research studies. The MR Research Facility, located on The Queen's Medical Center campus, is a joint effort of the University of Hawaii and The Queen's Medical Center. The MR Research Facility is built around a Siemens 3 Tesla MR scanner. The specific aims of the MR Image-Processing Core cover four main areas: 1) research support through image-processing support for analyzing MR scans, and development and analysis of pilot studies; 2) infrastructure development involving upgrades to the MR scanner, installation of local processing and data storage computers, improved internet connectivity, and improvements to optimize image processing streams; 3) methodological improvements to develop and validate image-processing tools for clinical research; and 4) training of MR Research Facility faculty users and staff in image processing. The services of the MR Image-Processing Core will permit more rapid publication of research results and lead to improved evaluation of the effects of drug abuse and chronic diseases on the brain.