Dynamic Magnetic Resonance Imaging Reconstruction Based on Nonconvex Low-Rank Model

<div>Reconstruction comparisons on four images. From top to bottom are images 1, 2, 4, and 6, respectively. From left to right are <svg height="9.49473pt" id="M238" style="vertical-align:-0.2063999pt" version="1.1" viewbox="-0.0498162 -9.28833 15.7581 9.49473" width="15.7581pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M480 416C480 431 465 448 438 448C388 448 312 383 252 330C217 299 188 273 155 237H153L257 680C262 700 263 712 253 712C240 712 183 684 97 674L92 648L126 647C166 646 172 645 163 606L23 -6L29 -12C51 -5 77 2 107 8C115 62 130 128 142 180C153 193 179 220 204 241C231 170 259 106 288 54C317 0 336 -12 358 -12C381 -12 423 2 477 80L460 100C434 74 408 54 398 54C385 54 374 65 351 107C326 154 282 241 263 299C296 332 351 377 403 377C424 377 436 372 445 368C449 366 456 368 462 375C472 386 480 402 480 416Z" id="g113-108"></path></g><g transform="matrix(.013,0,0,-0.013,6.539,0)"><path d="M300 253H71L57 198H286L300 253Z" id="g190-46"></path></g><g transform="matrix(.013,0,0,-0.013,11.185,0)"><path d="M324 430H196L233 583L223 592L145 529L120 430H54L29 396L31 388H111L56 126C33 15 54 -12 77 -12C137 -12 214 57 250 95L233 119C208 92 155 59 138 59C126 59 120 70 131 125L186 390L298 394L324 430Z" id="g113-117"></path></g></svg> SENSE, XD-GRASP, LplusS, and our algorithm, respectively.</div>

Mathematical Problems in Engineering

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Figure 9

Figure 9: Dynamic Magnetic Resonance Imaging Reconstruction Based on Nonconvex Low-Rank Model 