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Abstract #2886

Using RF to Create Nonlinear Virtual Coil Profiles

Gigi Galiana1, Jason Stockmann2, Leo K. Tam2, Robert Todd Constable1,2

1Diagnostic Radiology, Yale University, New Haven, CT, United States; 2Biomedical Engineering, Yale University, New Haven, CT, United States

Since surface coil profiles are not usually arranged for optimal encoding along the undersampled direction, we address this with a sequence that uses RF excitation to create virtual coil profiles. These virtual coil profiles can be chosen to optimally complement the undersampled data, and previous work showed that encoding with bar-like RF profiles significantly improved the achievable acceleration of Cartesian undersampled data. With the increasing availability of high powered nonlinear gradient sets, other shapes are possible that can better complement the azimuthal arrangement of multichannel coils. Exploiting this flexibility, we present an implementation of ring-like RF profiles (BARings) and the acceleration enhancements they can bring to multichannel radial acquisitions.