ARTIFACT REPAIR FOR HIGH MOTION CLINICAL SUBJECTS

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。 改善心理健康的一个关键问题是更好地了解智障患者的异常认知加工 人口。已经为许多类型的患者收集了数千个功能磁共振数据集，通常成本很高，但这些数据 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，零星的大型运动 测量过程中的自旋历史效应和数据过程中的图像重建错误导致伪影 正在处理。

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.