用于快速fMRI分解的压缩在线字典学习
Compressed Online Dictionary Learning for Fast fMRI Decomposition
摘要：
我们提出了一种快速静息状态fMRI空间分解的非常大的数据集，基于减少的时间维度之前，应用字典学习连接的个人记录从组的主题。介绍了一个措施的对应关系的空间分解休息功能磁共振成像，我们证明了时间减少字典学习产生的结果可靠的非减少分解。我们还表明，这种减少显着提高计算的可扩展性。
英文摘要：
We present a method for fast resting-state fMRI spatial decomposi-tions of very large datasets, based on the reduction of the temporal dimension before applying dictionary learning on concatenated individual records from groups of subjects. Introducing a measure of correspondence between spatial decompositions of rest fMRI, we demonstrates that time-reduced dictionary learning produces result as reliable as non-reduced decompositions. We also show that this reduction significantly improves computational scalability.
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