Carmi Eyal, Liu Siyuan, Alon Noga, Fiat Amos, Fiat Daniel
Computer Science, Sackler Faculty of Exact Sciences, Tel Aviv University, Tel Aviv, Israel 39040.
Magn Reson Imaging. 2006 Feb;24(2):133-54. doi: 10.1016/j.mri.2005.09.011. Epub 2006 Jan 6.
We consider the problem of super-resolution reconstruction (SRR) in MRI. Subpixel-shifted MR images were taken in several fields of view (FOVs) to reconstruct a high-resolution image. A novel algorithm is presented. The algorithm can be applied locally and guarantees perfect reconstruction in the absence of noise. Results that demonstrate resolution improvement are given for phantom studies (mathematical model) as well as for MRI studies of a phantom carried out with a GE clinical scanner. The method raises questions that are discussed in the last section of the paper. Open questions should be answered in order to apply this method for clinical purposes.
我们考虑磁共振成像（MRI）中的超分辨率重建（SRR）问题。在多个视野（FOV）中采集亚像素移位的MR图像，以重建高分辨率图像。提出了一种新算法。该算法可在局部应用，并在无噪声情况下保证完美重建。给出了针对体模研究（数学模型）以及使用GE临床扫描仪对体模进行MRI研究的分辨率提高的结果。该方法提出了一些问题，将在本文最后一节进行讨论。为了将此方法应用于临床目的，应回答一些未解决的问题。
