Baseline deconvolution, phase correction, and signal quantification in Fourier localized spectroscopic imaging

Area of Science:

• Magnetic Resonance Imaging
• Spectroscopy
• Medical Imaging Analysis

Background:

• Spectral lineshapes in chemical-shift imaging (CSI) are frequently distorted.
• Sampling delays required for phase-encoding gradients are a primary cause of these distortions.
• Accurate spectral analysis is crucial for reliable CSI data interpretation.

Purpose of the Study:

• To develop an automated fitting procedure for correcting distorted spectral lineshapes in CSI.
• To simultaneously address signal quantification, phase correction, and baseline deconvolution.
• To provide a robust method for improving the quality of CSI data.

Main Methods:

• Development of an automated fitting procedure based on the maximum likelihood method.
• Implementation of the fitting procedure in both the time and frequency domains.
• Simultaneous optimization of signal quantification, phase correction, and baseline deconvolution.

Main Results:

• The developed automated fitting procedure effectively corrects spectral lineshape distortions.
• Simultaneous quantification, phase correction, and baseline deconvolution are achieved.
• The method demonstrates flexibility through implementation in both time and frequency domains.

Conclusions:

• The automated maximum likelihood-based fitting procedure offers a significant improvement for analyzing chemical-shift imaging spectra.
• This method provides accurate signal quantification, phase correction, and baseline deconvolution.
• The developed technique enhances the reliability and interpretability of CSI data.