Experimental data illustrating proposed image reconstruction.

<p><b>(Left)</b> The measured signal is filtered and velocity compensated before gridding to partial fov images. The partial fov) images become the input to the optimization problem. <b>(Right)</b> The optimization problem formulation of dc recovery is illustrated. The forward model <b>A</b> consists of the <b>S</b> and <b>D</b> operators, where <b>S</b> is the segmentation operator and <b>D</b> is the dc removal operator. The initial estimated image is the zero vector, <i><b>ρ</b></i>₀ = <b>0</b>. The estimated image, <i><b>ρ</b></i>, is calculated and updated with each step of the iterative proximal gradient solver [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0140137#pone.0140137.ref029" target="_blank">29</a>]. The optimization problem is formulated in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0140137#pone.0140137.e009" target="_blank">Eq 6</a>.