@article{c3655a1799a34cbc99ef4be26ca59a95,
title = "Resolution enhancement in MRI",
abstract = "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.",
keywords = "Phantom, Resolution enhancement, Super-resolution reconstruction",
author = "Eyal Carmi and Siuyan Liu and Noga Alon and Amos Fiat and Daniel Fiat",
note = "Funding Information: We wish to thank Hezy Yeshurun, Nahum Kiryati, Leonid P. Yaroslavsky and Kostya Malsev for their very useful remarks and discussions on problems of SRR in MRI. Arie Yeredor for his remarks on generalization of the Nyquist sampling theorem for infinite band-limited signals. Kevin King for useful discussions in regard to GE scanner MRI data acquisition and processing and for useful comments in regard to the paper. Anna Altshuler and Janusz Hankiewicz for technical assistance. Zvi Regev for useful discussions in regard to the scanner's electronics. This research was supported in part by the National Institute of Health Grant NS37804 to Daniel Fiat.",
year = "2006",
month = feb,
doi = "10.1016/j.mri.2005.09.011",
language = "אנגלית",
volume = "24",
pages = "133--154",
journal = "Magnetic Resonance Imaging",
issn = "0730-725X",
publisher = "Elsevier Inc.",
number = "2",
}