Improved Simultaneous Multislice EPI Reconstruction for Diffusion MRI using regularized iterative phase...

Area of Science:

• Magnetic Resonance Imaging
• Image Reconstruction
• Neuroimaging

Background:

• Simultaneous multi-slice echo planar imaging (SMS-EPI) enhances diffusion MRI efficiency and spatial resolution.
• Existing phase error-corrected SENSE (PEC-SENSE) effectively removes Nyquist ghosts but struggles with noise amplification and artifacts at high acceleration factors.

Purpose of the Study:

• To introduce an iterative reconstruction method integrating phase error-corrected SENSE (iPEC-SENSE) with wavelet regularization.
• To address and overcome the limitations of noise amplification and residual artifacts in current PEC-SENSE reconstructions for SMS-EPI.

Main Methods:

• Implementation of an iterative reconstruction framework combining PEC-SENSE with wavelet regularization (iPEC-SENSE).
• Evaluation of the method's performance in suppressing noise and artifacts in SMS-EPI diffusion MRI data.

Main Results:

• The regularized iPEC-SENSE method demonstrated significant suppression of artifacts and noise, leading to improved image quality.
• Enhanced reconstruction quality resulted in more reliable diffusion tensor imaging (DTI) analysis, evidenced by reduced coefficient of variation and test-retest variation.
• The method effectively mitigated noise amplification issues inherent in existing PEC-SENSE techniques for SMS-EPI.

Conclusions:

• The proposed iPEC-SENSE approach offers a robust solution for high-quality diffusion MRI with SMS-EPI.
• This method maintains the ability to eliminate Nyquist ghosts while improving precision and reproducibility in diffusion MRI.
• iPEC-SENSE enhances the potential for advanced neuroimaging applications by providing a more accurate and reliable parallel imaging reconstruction.