Sequential combination of k-t principle component analysis (PCA) and partial parallel imaging: k-t PCA GROWL

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• 作者：Haikun Qi ; Feng Huang ; Hongmei Zhou and Huijun Chen
• 刊名：Magnetic Resonance in Medicine
• 出版年：2017
• 出版时间：March 2017
• 年：2017
• 卷：77
• 期：3
• 页码：1058-1067
• 全文大小：2461K
• ISSN：1522-2594

文摘

k-t principle component analysis (k-t PCA) is a distinguished method for high spatiotemporal resolution dynamic MRI. To further improve the accuracy of k-t PCA, a combination with partial parallel imaging (PPI), k-t PCA/SENSE, has been tested. However, k-t PCA/SENSE suffers from long reconstruction time and limited improvement. This study aims to improve the combination of k-t PCA and PPI on both reconstruction speed and accuracy.