Calibration-Free Accelerated Dynamic MRI based on Low-Rank Matrix Recovery
نویسندگان
چکیده
Parallel magnetic resonance (MR) imaging techniques use multiple receiver coils for data acquisition. Sensitivity responses of these coils usually vary in space and must be estimated via a separate calibration process. We present an algorithm for jointly estimating MR images and coil sensitivity maps from subsampled k-space measurements. We pose the joint estimation problem as the recovery of a rank-one matrix from coded, linear measurements. We demonstrate the performance of our method on cardiac MRI datasets with multiple receiver coils.
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