Iterative Next-Neighbor Regridding (INNG): Improved Reconstruction from Nonuniformly Sampled k-Space Data Using Rescaled Matrices

Magnetic Resonance in Medicine

Volumn 51, Issue 2, 2004, Pages 343-352

  Moriguchi, Hisamoto ^a,b   Duerk, Jeffrey L ^a,b,c  

^a CASE WESTERN RESERVE UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b Case Western Reserve University   (United States)

^c UNIVERSITY HOSPITALS OF CLEVELAND   (United States)

Author keywords

Gridding; Nonuniform sampling; POCS; Reconstruction; Spiral

Indexed keywords

DISPERSION COMPENSATION; INVERSE PROBLEMS; ITERATIVE METHODS; MAGNETIC RESONANCE IMAGING; SINGULAR VALUE DECOMPOSITION;

EFFICIENT RECONSTRUCTION; GRIDDING; ITERATIVE RECONSTRUCTION; NONUNIFORM SAMPLING; POCS; RECONSTRUCTION ALGORITHMS; REGULARIZATION PARAMETERS; SPIRAL;

IMAGE RECONSTRUCTION;

ALGORITHM; ARTICLE; CALCULATION; COMPUTER SIMULATION; FOURIER TRANSFORMATION; IMAGE QUALITY; IMAGE RECONSTRUCTION; NUCLEAR MAGNETIC RESONANCE IMAGING;

EID: 0842264085     PISSN: 07403194     EISSN: None     Source Type: Journal    
DOI: 10.1002/mrm.10692     Document Type: Article

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