A computationally efficient method for reconstructing sequences of MR images from undersampled k-space data

作者：Zonoobi Dornoosh^*; Kassim Ashraf A

来源：Medical Image Analysis, 2014, 18(6): 857-865.

DOI：10.1016/j.media.2014.04.010

• Dynamic MRI reconstruction
• Iterative thresholding method
• Priori-knowledge

In this paper, we propose a Compressive Sensing based approach to the problem of real-time reconstruction of MR image sequences. Our proposed method is able to extract useful priori information and incorporate it into a modified iterative thresholding algorithm for fast casual reconstruction of MR images from highly undersampled k-space data. Through extensive experimental results we show that our proposed method achieves superior reconstruction quality, while having a lower computational complexity and memory requirements compared to the other state-of-the-art methods.

• 出版日期2014-8