Keywords: Sparse & Low-Rank Models, Sparse & Low-Rank Models
Motivation: The need to reduce artifacts and improve SNR in phase error corrected SENSE (PEC-SENSE) reconstruction is critical for diffusion MRI.
Goal(s): To develop a method that enhances image quality in terms of reduced residual artifacts and noise while maintaining accurate phase error correction.
Approach: The iterative PEC-SENSE (iPEC-SENSE) method integrates slice-dependent phase error correction and L1-wavelet regularization using the POCS formalism.
Results: This approach significantly reduces artifacts and improves SNR, facilitating more reliable DTI analysis.
Impact: Iterative phase error corrected SENSE (iPEC-SENSE) effectively suppresses noise and artifacts in diffusion MR images, significantly improves image quality and DTI analysis.
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