Automated Workflow for MR-PET Attenuation Correction in a Tri-Modality System Using Dixon Fat-Water Imaging Based Tissue Classification

Keywords

accuracy accurate affine allows amount anatomy approaches attenuation auto automated available axial background board body boundary channel class classification coils commercially component connected consisted consisting contour correction correlate correlation coverage cyan database deal dedicated degree descent described direct discovery distinction elevation enabled enabling equation evaluation field flex flight form formulation function functionality gaps generation global gold good gradients head helps ideal identification identified inaccuracy includes indicate induced initial integrated intensity interlocked intra investigated laboratory lateral lava legs linear localization lung lungs manually mask minimal minimize modality neck neighboring noise normalized organ overlap patient patients pelvic pelvis pockets positioning presence processing python quantitative quaternion reconstructed reducing registration reliable reported represents reversed robust rooms scale scanner scanners schematic segmentation segmented sensitivity sequential setup shuttle slices sliding smoothness software started station steps stitched stitching success surface system table technical threshold tissue torso transfer transform translational transporter typical uptake variance versus warrants water weak whole