Figure 1:

Illustration shows data acquisition and image reconstruction for SPARSE-SPACE method. Three-dimensional k-space data (d) are acquired by using Poisson-disk random undersampling pattern, which presents favorable conditions for SPARSE with sensitivity encoding (SENSE) approach. Fully sampled center is used to calculate coil sensitivity and the data acquisition operator (E). SPARSE with sensitivity-encoding reconstruction algorithm iteratively enforces sparsity in wavelet domain (W) by thresholding low-value coefficients and checking data consistency in k-space for each coil. After number of iterations (usually 20–25), the reconstruction algorithm will find the sparsest solution that is consistent with the acquired data, resulting in a unaliased image. m = reconstructed image, * = backward operator.