Resolution enhancement in MRI

Eyal Carmi, Siuyan Liu, Noga Alon, Amos Fiat, Daniel Fiat

Research output: Contribution to journalArticlepeer-review

91 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)133-154
Number of pages22
JournalMagnetic Resonance Imaging
Issue number2
StatePublished - Feb 2006
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Biophysics
  • Radiology Nuclear Medicine and imaging
  • Biomedical Engineering


  • Phantom
  • Resolution enhancement
  • Super-resolution reconstruction


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