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.

该副本是利用众多研究子项目之一 由NIH/NCRR资助的中心赠款提供的资源。子弹和 调查员（PI）可能已经从其他NIH来源获得了主要资金， 因此可以在其他清晰的条目中代表。列出的机构是 对于中心，这不一定是调查员的机构。 改善心理健康的关键问题是更好地了解精神障碍的异常认知处理 人群。已经为许多类型的患者收集了成千上万的fMRI数据集，通常很大，但是数据集 很难分析，因为临床受试者经常在扫描过程中移动。在许多情况下，零星的大动作 在测量过程中引起自旋历史效应的伪影，并在数据期间产生图像重建错误 加工。