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Abstract #0110

Accelerating Bloch-Siegert B1+ Mapping Using Modified Iterative SENSE and ESPIRiT (iSENSE)

Mohammad Mehdi Khalighi 1 and Peng Lai 1

1 Applied Science Lab, GE Healthcare, Menlo Park, CA, United States

Bloch-Siegert (B-S) B1 mapping is a great tool for pTx RF-pulse design, however collecting whole brain maps for multi-channel systems takes a long time. Because of slow-varying B1+ field, B-S images are collected in low resolution for shorter scan-times, therefore the application of auto-calibrated parallel imaging is impractical. We propose a modified iterative SENSE method using ESPIRiT (iSENSE) for estimating the receive sensitivities and enforcing data consistency within the B-S method to increase SNR. We showed R=2 acceleration, results in only 24% SNR loss (compared to 46% with SENSE), and performs equally with fully sampled B1+ maps in pTx application.

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