Artifact suppression in readout-segmented consistent K-t space EPSI (RS-COKE) for fast 1H spectroscopic imaging at 7 T

Amir Seginer, Graeme A. Keith, David A. Porter, Rita Schmidt

Research output: Contribution to journalArticlepeer-review

Abstract

Purpose: Fast proton (1H) MRSI is an important diagnostic tool for clinical investigations, providing metabolic and spatial information. MRSI at 7 T benefits from increased SNR and improved separation of peaks but requires larger spectral widths. RS-COKE (Readout-Segmented Consistent K-t space Epsi) is an echo planar spectroscopic imaging (Epsi) variant capable to support the spectral width required for human brain metabolites spectra at 7 T. However, mismatches between readout segments lead to artifacts, particularly when subcutaneous lipid signals are not suppressed. In this study, these mismatches and their effects are analyzed and reduced. Methods: The following corrections to the data were performed: i) frequency-dependent phase corrections; ii) k-space trajectory corrections, derived from short reference scans; and iii) smoothing of data at segment transitions to mitigate the effect of residual mismatches. The improvement was evaluated by performing single-slice RS-COKE on a head-shaped phantom with a “lipid” layer and healthy subjects, using varying resolutions and durations ranging from 4.1 × 4.7 × 15 mm3 in 5:46 min to 3.1 × 3.3 × 15 mm3 in 13:07 min. Results: Artifacts arising from the readout-segmented acquisition were substantially reduced, thus providing high-quality spectroscopic imaging in phantom and human scans. LCModel fitting of the human data resulted in a relative Cramer-Rao lower bounds within 6% for NAA, Cr, and Cho images in the majority of the voxels. Conclusion: Using the new reference scans and reconstruction steps, RS-COKE was able to deliver fast 1H MRSI at 7 T, overcoming the spectral width limitation of standard EPSI at this field strength.

Original languageEnglish
Pages (from-to)2339-2357
Number of pages19
JournalMagnetic Resonance in Medicine
Volume88
Issue number6
Early online date17 Aug 2022
DOIs
StatePublished - Dec 2022

All Science Journal Classification (ASJC) codes

  • Radiology Nuclear Medicine and imaging

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