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Resolution enhancement in MRI Eyal Carmia,T, Siuyan Liub

Summary: Resolution enhancement in MRI
Eyal Carmia,T, Siuyan Liub
, Noga Alona
, Amos Fiata,T, Daniel Fiatc,4
School of Computer Science, Sackler Faculty of Exact Sciences, Tel Aviv University, Tel Aviv, Israel 39040
Department of Bioengineering, University of Illinois at Chicago, Chicago, IL 60607, USA
Magnetic Resonance Imaging Laboratory, Department of Physiology and Biophysics, University of Illinois at Chicago, Chicago, IL 60612, USA
Received 6 December 2004; revised 30 September 2005; accepted 30 September 2005
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.
D 2006 Elsevier Inc. All rights reserved.
Keywords: Resolution enhancement; Super-resolution reconstruction; Phantom
1. Introduction


Source: Alon, Noga - School of Mathematical Sciences, Tel Aviv University


Collections: Mathematics