ArticleIEEE transactions on bio-medical engineering2026
Phase Correction of MR Spectroscopic Imaging Data Using Model-Based Signal Estimation and Extrapolation.
Article in IEEE transactions on bio-medical engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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Who cites it
1 citing paper in PubMed.
- Motion Correction in High-Resolution 3D Brain MRSI Without Water and Lipid Suppression.Magnetic resonance in medicine · 2026Article
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Authors and funding
8 authors.
Funding
Abstract
objectiveTo develop an effective method for phase correction of magnetic resonance spectroscopic imaging (MRSI) data.
methodsIn many MRSI applications, it is desirable to generate absorption-mode spectra, which requires correction of phase errors in the measured MRSI data. Conventional phase correction methods are sensitive to measurement noise and baseline distortion, often resulting in distorted absorption-mode spectra from MRSI data with low-SNR and long acquisition dead time. This paper proposed a novel model-based method for improved phase correction of MRSI data. The proposed method determined the zeroth-order phase and acquisition dead time using a Lorentzian-based spectral model and performed signal extrapolation using a generalized series model. Absorption-mode spectra were then generated from the phase-corrected and extrapolated MRSI data.
resultsThe proposed method was evaluated using both simulated data and experimental data acquired from human subjects in multi-nuclei (
conclusionThis paper introduced a novel method for phase correction of MRSI data. Results from simulated and in vivo data demonstrated that high-quality absorption-mode spectra could be obtained using the proposed method. SIGNIFICANCE: This method will provide a useful tool for processing MRSI data.
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