MCS-MRI reconstruction on the acquired noiselet encoded and Fourier encoded data for different acceleration factors (up/down: phase encodes, left/right: frequency encode).

2015-05-12T02:50:14Z (GMT) by Kamlesh Pawar Gary Egan Jingxin Zhang
<p><b>RF</b>: shows reference image reconstructed from fully sampled Fourier encoded data; <b>RN</b>: shows reference image reconstructed from fully sampled Noiselet encoded data; <b>(a)-(c)</b>: show images reconstructed using Fourier encoding for acceleration factor of 4, 8 and 16 respectively; <b>(d)-(f)</b>: show the difference images using Fourier encoding for acceleration factor of 4, 8 and 16 respectively; <b>(g)-(i)</b>: show images reconstructed using noiselet encoding for acceleration factor of 4, 8 and 16 respectively; <b>(j)-(l)</b>: show the difference images using noiselet encoding for acceleration factor of 4, 8 and 16 respectively. The result here aligns with the simulation results and noiselet encoding outperforms Fourier encoding in preserving resolution. <b>(A-H)</b>: Zoomed portion of phantom images reconstructed with Fourier encoding and noiselet encoding with different acceleration factors. <b>(A)</b>: shows the original image reconstructed from fully sampled Fourier encoded data; <b>(B), (C) and (D)</b>: show the Fourier encoded reconstructed images for acceleration factors of 4, 8 and 16 respectively; <b>(E)</b>: shows the image reconstructed from fully sampled noiselet encoded data; <b>(F), (G) and (H)</b>: show the noiselet encoded reconstructed images for acceleration factors of 4, 8 and 16 respectively demonstrating that noiselet encoding produces improved resolution images than than Fourier encoding at all acceleration factors.</p>