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.
authors.affiliation: Computer Science, Sackler Faculty of Exact Sciences, Tel Aviv University, Tel Aviv, Israel 39040.
authors.forename: Eyal
authors.initials: E
authors.lastname: Carmi
authors.forename: Siyuan
authors.initials: S
authors.lastname: Liu
authors.forename: Siuyan
authors.initials: S
authors.lastname: Liu
authors.forename: Noga
authors.initials: N
authors.lastname: Alon
authors.forename: Amos
authors.initials: A
authors.lastname: Fiat
authors.forename: Daniel
authors.initials: D
authors.lastname: Fiat
mesh_terms: D000465:Algorithms; D007089:Image Enhancement / Q000379:methods*; D007091:Image Processing, Computer-Assisted; D008279:Magnetic Resonance Imaging / Q000379:methods*; D019047:Phantoms, Imaging