Keywords: Non-Proton, Spectroscopy, Phosphorous MRSICompressed sensing (CS) techniques suggest the feasibility of reducing the measurement duration of high‑resolution 31P‑MRSI at 7T to a clinically reasonable time (20 minutes) while preserving data quality. The proposed Compressed Adaptive SenSing Algorithm with Variable k‑space Averaging (CASSAVA) reconstructs 31P‑MRSI data with an undersampling factor of $$$R=3.8$$$ while simultaneously maintaining spectral peak accuracy and a high spatial resolution. This was demonstrated in the conducted simulation, retrospective, and prospective studies by evaluating the reconstructed spectra and intracellular pH maps of healthy and tumor tissues as a benchmark test. As a result, clinical research on larger patient cohorts becomes feasible.
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