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Abstract #4557

Parallel Imaging Technique Using Localized Gradients (PatLoc) Reconstruction Using Orthogonal Mode Decomposition

Fa-Hsuan Lin1, Thomas Witzel1, Jonanthan Polimeni1, Juergen Hennig2, Gerrit Schultz2, John W. Belliveau1, Lawrence L. Wald1

1A. A. Martinos Center, Massachusetts General Hospital, Charlestown, MA, USA; 2Department of Diagnostic Radiology, medical Physics, University Hospital Freiburg, Freiburg, Germany

Using conventional imaging sequence, the parallel imaging technique using localized gradients (PatLoc) system requires combining different gradient coils to generate two sets of gradient fields in order to complete frequency and phase encodings. Previously it was suggested using two orthogonal circular symmetric (OCS) fields to accomplish this requirement. Here we propose to use singular value decomposition (SVD) to automatically decompose the gradient information and suggest the linear combinations for two orthogonal gradients for the pulse sequence. Such orthogonal mode (OM) PatLoc fields were demonstrated with improved image reconstruction in up to 4-fold accelerated acquisitions.