Resting State fMRI in the moving fetus: A robust framework for motion, bias field and spin history correction
Resting State fMRI in the moving fetus: A robust framework for motion, bias field and spin history correction
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DOI：
10.1016/j.neuroimage.2014.06.074
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发表时间：
2014-11-01
期刊：
影响因子：
5.7
通讯作者：
Hajnal, Joseph V.
中科院分区：
文献类型：
--
作者：
Ferrazzi, Giulio;Murgasova, Maria Kuklisova;Hajnal, Joseph V.
人们对探索胎儿大脑功能发育越来越感兴趣，尤其是静息状态功能磁共振成像。然而，在典型的fMRI采集过程中，子宫由于母亲的呼吸而移动，胎儿可能会进行大规模和不可预测的运动。传统的功能磁共振成像（fMRI）处理流程假定大脑运动不频繁或至少很小，因此不适合。以前发表的研究通过采用传统方法和丢弃多达40%或更多的已获得数据来解决这个问题。在这项工作中，我们开发并测试了胎儿静息状态fMRI的处理框架，能够纠正粗大运动。该方法包括扫描参考框架中的偏置场和自旋历史校正，结合切片到体配准和分散数据插值，将所有数据放入一致的解剖空间。目的是恢复一组有序的样品，适合使用标准工具进行进一步分析，如组独立成分分析（组ICA）。我们使用模拟和1.5 t时获得的体内数据对该方法进行了测试。在全运动校正后，ICA组对8个胎儿进行了实验，提取了20个网络，其中6个与先前在早产儿中观察到的网络相匹配。(C) 2014爱思唯尔公司版权所有。
There is growing interest in exploring fetal functional brain development, particularly with Resting State fMRI. However, during a typical fMRI acquisition, the womb moves due to maternal respiration and the fetus may perform large-scale and unpredictable movements. Conventional fMRI processing pipelines, which assume that brain movements are infrequent or at least small, are not suitable. Previous published studies have tackled this problem by adopting conventional methods and discarding as much as 40% or more of the acquired data.In this work, we developed and tested a processing framework for fetal Resting State fMRI, capable of correcting gross motion. The method comprises bias field and spin history corrections in the scanner frame of reference, combined with slice to volume registration and scattered data interpolation to place all data into a consistent anatomical space. The aim is to recover an ordered set of samples suitable for further analysis using standard tools such as Group Independent Component Analysis (Group ICA).We have tested the approach using simulations and in vivo data acquired at 1.5 T. After full motion correction, Group ICA performed on a population of 8 fetuses extracted 20 networks, 6 of which were identified as matching those previously observed in preterm babies. (C) 2014 Elsevier Inc. All rights reserved.