Abstract: In a magnetic resonance imaging method, a plurality of at least partially overlapping k-space datasets are acquired. Each of at least partially overlapping k-space datasets includes k-space samples acquired at different measuring times including common locations in k-space that are sampled at different measuring times in the acquired k-space datasets. The plurality of at least partially overlapping k-space datasets are reconstructed to produce a reconstructed image representative of a selected measuring time. During the reconstructing, at least one of k-space values and intermediate image element values are interpolated or extrapolated to the selected measuring time based on the sampling at different measuring times of the common locations in k-space.

Abstract: A magnetic resonance imaging scanner includes a main magnet (20) generating a main B0 magnetic field, one or more shim coils (60) selectively shimming the main B0 magnetic field at selected shim currents, and a processor (70) executing a process including determining a magnitude shift of the main B0 magnetic field responsive to the selective shimming and performing a correction during the energizing to correct for the determined magnitude shift of the main B0 magnetic field. The performed correction includes one of (i) selectively energizing a D.C. shim coil (82) to counteract the determined magnitude shift of the main B0 magnetic field and (ii) computing a magnetic resonance frequency corresponding to the main B0 magnetic field including the determined magnitude shift and tuning a radio frequency transceiver (44, 46) to the computed magnetic resonance frequency.