Journal
MAGNETIC RESONANCE IN MEDICINE
Volume 54, Issue 3, Pages 738-742Publisher
WILEY
DOI: 10.1002/mrm.20601
Keywords
partially parallel imaging; GRAPPA; MRI; data reconstruction; auto calibrating
Funding
- NCRR NIH HHS [RR02305] Funding Source: Medline
- NICHD NIH HHS [HD39621] Funding Source: Medline
- NIDA NIH HHS [DA015149] Funding Source: Medline
- NIMH NIH HHS [MH072576] Funding Source: Medline
- NINDS NIH HHS [NS045839] Funding Source: Medline
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This paper presents an improved data reconstruction method for generalized autocalibrating partially parallel acquisitions (GRAPPA) using multicolumn multiline interpolation (MCMLI). Both nearest acquired line (k(y)) neighboring points and column (k(x)) neighboring points from all components of an array coil were used to reconstruct each missing datum through interpolation. A new fitting scheme was designed to estimate the interpolation weights. Both simulations and in vivo experiments demonstrated that the proposed method yields higher-quality data reconstruction than the original GRAPPA method, especially with high acceleration factors.
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