Accelerating multiparametric imaging(MTP) by 12-fold using 64 channel head coil and CS Wave reconstruction

Motivation: The MULTIPLEX technique could quantify the T1/T2*/PD/Susceptibility maps in a single 3D scan but leads to a long scan time. Goal(s): This study aimed to develop sparsity regularized Wave-SNMs reconstruction methods to address the issue of slow 3D scanning of the MULTIPLEX technique. Approach: This work is based on a SNMs reconstruction method with the addition of a sparsity regular term of L1, which utilizes nulling maps with a short calibration time to achieve a 12-fold accelerated imaging. Results: Sparsity regularized Wave-SNMs reconstruction with Multi-Dimensional Integration quantification accelerate MULTIPLEX by 12-fold into a single scan of 2 minutes. Impact: The L1 regularized Wave-SNMs reconstruction could benefits the Mutli-Dimensional lntegration (MDI) quantification to achieve comparable accuracy and robustness as the reference scan with 70% reduction of scan time.