Resolution enhancement in MRI

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

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

91 Scopus citations

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.

Original languageEnglish
Pages (from-to)133-154
Number of pages22
JournalMagnetic Resonance Imaging
Volume24
Issue number2
DOIs
StatePublished - Feb 2006

Funding

FundersFunder number
National Institutes of Health
National Institute of Neurological Disorders and StrokeR01NS037804

    Keywords

    • Phantom
    • Resolution enhancement
    • Super-resolution reconstruction

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