ARTIFACT REPAIR FOR HIGH MOTION CLINICAL SUBJECTS

高运动临床对象的工件修复

• 批准号: 7955362
• 负责人: PAUL K MAZAIKA
• 金额: $ 1.8万
• 依托单位: STANFORD UNIVERSITY
• 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 2010-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7955362
• 关键词: Clinical; Cognitive; Computer Retrieval of Information on Scientific Projects Database; Data; Data Set; Functional Magnetic Resonance Imaging; Funding; Grant; Institution; Measurement; Mental Health; Morphologic artifacts; Motion; Patients; Population; Process; Recording of previous events; Research; Research Personnel; Resources; Scanning; Source; Technology; United States National Institutes of Health; computerized data processing; cost; image reconstruction; improved; repaired

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. A key issue to improve mental health is to better understand the abnormal cognitive processing in mentally impaired populations. Thousands of fMRI data sets have been collected for many types of patients, often at large cost, but the data is difficult to analyze because clinical subjects often move during a scan session. In many cases, sporadic large motions cause artifacts from spin history effects during the measurement process and image reconstruction errors during data processing.

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。子项目及 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 中心，不一定是研究者的机构。 改善心理健康的一个关键问题是更好地了解精神障碍患者的异常认知过程 人口。已经为多种类型的患者收集了数千个功能磁共振成像数据集，通常成本高昂，但这些数据 很难分析，因为临床受试者在扫描过程中经常移动。在许多情况下，零星的大动作 测量过程中的旋转历史效应和数据过程中的图像重建错误会导致伪影 加工。