A Sparse Volume Reconstruction Method for Fetal Brain MRI Using Adaptive Kernel Regression

<table class="table-group" id="tab7"><tr><td><table class="table"><tr><td class="thead-hr" colspan="6"><hr/></td></tr><tr class="thead"><td class="align_left">Steering smoothing parameter</td><td class="align_center"><span style="width: 41.0431ptpx;"><svg height="12.5612pt" id="M327" style="vertical-align:-3.27287pt" version="1.1" viewbox="-0.0498162 -9.28833 41.0431 12.5612" width="41.0431pt" 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="M499 88L487 113C459 86 422 65 413 65C403 65 403 74 409 98L461 318C487 426 460 448 431 448C408 448 383 441 352 424C305 398 223 344 157 257H155L243 674C249 702 249 712 240 712C227 712 170 680 87 673L82 648H117C155 648 162 644 150 590L23 -4L30 -12C55 -4 81 3 105 8C113 53 131 150 143 187C199 281 323 387 372 387C390 387 393 369 380 311L328 86C313 19 319 -12 347 -12C379 -12 442 24 499 88Z"></path></g><g transform="matrix(.0091,0,0,-0.0091,6.643,3.132)"><path d="M319 325C317 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466 390 635 241 635ZM238 602C329 602 354 454 354 312C354 172 330 22 240 22C152 22 124 173 124 313S148 602 238 602Z"></path></g></svg></span></td></tr><tr><td class="thead-hr" colspan="6"><hr/></td></tr><tr><td class="align_left">RMSE</td><td class="align_center">79.005</td><td class="align_center">78.886</td><td class="align_center">79.230</td><td class="align_center">79.159</td><td class="align_center">82.87</td></tr><tr><td class="align_left">MSSIM</td><td class="align_center">0.7927</td><td class="align_center">0.8092</td><td class="align_center">0.7933</td><td class="align_center">0.7944</td><td class="align_center">0.7946</td></tr><tr class="table-tr"><td colspan="6"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>The RMSE and MSSIM value comparison of fetal brain reconstruction with different steering smoothing parameters <svg height="12.5612pt" id="M326" style="vertical-align:-3.27287pt" version="1.1" viewbox="-0.0498162 -9.28833 10.6179 12.5612" width="10.6179pt" 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="M499 88L487 113C459 86 422 65 413 65C403 65 403 74 409 98L461 318C487 426 460 448 431 448C408 448 383 441 352 424C305 398 223 344 157 257H155L243 674C249 702 249 712 240 712C227 712 170 680 87 673L82 648H117C155 648 162 644 150 590L23 -4L30 -12C55 -4 81 3 105 8C113 53 131 150 143 187C199 281 323 387 372 387C390 387 393 369 380 311L328 86C313 19 319 -12 347 -12C379 -12 442 24 499 88Z"></path></g><g transform="matrix(.0091,0,0,-0.0091,6.643,3.132)"><path d="M319 325C317 349 306 409 297 431C277 440 250 449 209 449C117 449 57 389 57 319C57 243 122 209 182 182C232 159 261 135 261 91C261 48 227 21 190 21C130 21 85 79 68 145L41 140C41 104 51 36 58 22C75 7 121 -12 172 -12C252 -12 337 35 337 126C337 195 286 231 210 262C166 281 126 304 126 348C126 388 152 417 191 417C240 417 274 378 294 318L319 325Z"></path></g></svg> ranged from 0.1 to 2.5, respectively.</div>

BioMed Research International

tab7

Table 7

Table 7: A Sparse Volume Reconstruction Method for Fetal Brain MRI Using Adaptive Kernel Regression 