Zeffiro T
Sensor Systems, Inc., Sterling, Virginia, USA.
Neuroimage. 1996 Dec;4(3 Pt 3):S95-100. doi: 10.1006/nimg.1996.0059.
Rapid improvements in functional magnetic resonance neuroimaging technology have resulted in impressive advances in our understanding of structure/function relationships in the human brain. The application of this new technology to the understanding of human brain disease is currently limited by difficulties in extracting task-related signal change from signal intensity time series that have been contaminated by artifacts arising from various intrinsic and extrinsic sources. Effects induced by interscan head motion are a major source of these artifacts. The correction of these artifacts by registration of pairs of reconstructed images has been a focus of research for the past few years and there are now a number of effective means to compensate for this source of noise. This paper discusses issues concerning the prevention and correction of interscan head motion as well as other sources of error variation in fMRI time series.
功能磁共振神经成像技术的迅速发展，使我们对人类大脑结构/功能关系的理解取得了令人瞩目的进展。这项新技术在理解人类脑部疾病方面的应用，目前受到从被各种内在和外在来源产生的伪影所污染的信号强度时间序列中提取任务相关信号变化的困难限制。扫描间头部运动引起的影响是这些伪影的主要来源。在过去几年中，通过对成对重建图像进行配准来校正这些伪影一直是研究的重点，现在有许多有效的方法来补偿这种噪声源。本文讨论了有关预防和校正扫描间头部运动以及功能磁共振成像时间序列中其他误差变化来源的问题。
