ARTIFACT REPAIR FOR HIGH MOTION CLINICAL SUBJECTS

这个子项目是许多研究子项目中的一个 由NIH/NCRR资助的中心赠款提供的资源。子项目和 研究者（PI）可能从另一个NIH来源获得了主要资金， 因此可以在其他CRISP条目中表示。所列机构为 研究中心，而研究中心不一定是研究者所在的机构。 提高心理健康水平的一个关键问题是更好地了解弱智者的异常认知加工 人口。已经为许多类型的患者收集了数千个功能磁共振成像数据集，通常花费很大，但这些数据 因为临床对象在扫描会话期间经常移动。在许多情况下，零星的大动作 在测量过程中引起来自自旋历史效应的伪影， 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.