Group‐Patch Joint Compression: Compressing Dynamic B 0 and Static RF Spatial Modulations Across k‐Space Subregion Groups for Highly Accelerated MRI

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Authors: Rui Tian, Klaus Scheffler
Cited by: 1
References: 68

Abstract

ABSTRACT Purpose To accelerate MRI further, rapid B 0 field modulations can be applied during oversampled readout to capture additional physical information, as in Wave‐CAIPI/FRONSAC/local B 0 coils modulation techniques. These methods, however, turn the Fourier readout into a non‐Fourier‐encoded dimension that cannot be reconstructed by FFT, posing significant reconstruction challenges especially in compressed‐sensing or neural‐network frameworks. Theory and Methods Because the rapid B 0 modulations still vary slowly relative to the oversampled ADC dwell time, we exploit this encoding redundancy by compressing k‐space patch‐by‐patch across subregions, each of which is jointly encoded by a distinct subset of B 0 and RF (receive) spatial encoding functions. For each subset, a compression matrix is computed once and reused to compress all patches encoded by the same B 0 ‐RF spatial modulations. This can be implemented by feeding subsets of B 0 and RF spatial encoding maps into an adapted conventional RF array compression algorithm, mimicking an expanded set of virtual receiver channels. This approach was evaluated on human brain scans at 9.4 T/3 T. Results The proposed group‐patch joint compression achieves substantially higher compression factors than conventional RF‐only compression, while minimally compromising encoding efficiency. Typically, joint compression factors of 11×–20× led to negligible encoding loss, dramatically reducing reconstruction time and peak memory usage. For example, compressed‐sensing reconstruction took 1.4–5.1 s/2D slice, 177 s–10.1 min/3D volume on a high‐memory CPU node. Conclusion Given joint encoding of dynamic B 0 and static RF fields, compressing multidimensional k‐space patches in separate groups outperforms compressing RF receivers alone. This substantially mitigates a fundamental computational bottleneck when combining rapid B 0 and RF‐receiver modulations.

Fields of Study & Subjects

Advanced MRI Techniques and Applications Functional Brain Connectivity Studies Sparse and Compressive Sensing Techniques

Publication details

Journal / source
Magnetic Resonance in Medicine
Publisher
Wiley
Volume
96
Issue
5
Pages
2106–2126
Publication date
23 July 2026
Language
EN