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This is a Experimental Study study.

September 17, 2025

Parallel Imaging Using Virtual Conjugate Coils and Spatial Nulling Maps (VCC-SNMs)

Key Points

The VCC-SNMs method effectively reduces noise amplification compared to traditional methods.
Robustness and efficiency were achieved in imaging reconstruction using spatial nulling maps.
Incorporating phase constraints enhances performance in parallel imaging scenarios.
Results show improved imaging quality through the integration of virtual conjugate coils.

Abstract

Motivation: One of the key challenges in parallel imaging (PI) reconstruction is the amplification of noise. Effectively minimizing the noise is essential for achieving high-quality images. Goal(s): Implementation of highly robust and efficient PI reconstruction method with reduced noise amplification. Approach: The recent SNMs method has shown its robustness and efficiency as one hybrid-domain PI reconstruction method. Phase constraint was incorporated in the SNMs method by employing virtual conjugate coils (VCC-SNMs). Results: The VCC-SNMs method was successfully developed in the study, and it was shown to be effective in achieving less amplified noise, in comparison with VCC-GRAPPA, VCC-ESPIRiT, and the original SNMs method. Impact: A VCC-SNMs method leveraging the priori knowledge of the image phase constraint was successfully implemented for efficient and robust parallel imaging reconstruction with reduced noise amplification.

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