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. Author manuscript; available in PMC: 2018 Jul 15.
Published in final edited form as: Neuroimage. 2017 Apr 11;155:460–472. doi: 10.1016/j.neuroimage.2017.04.004

Table 2.

The clinical datasets used in this study consisted of a total of 154 stacks used for testing brain localization and extraction. Motion level has been qualitatively graded “Minor” (little,1, or none,0), “Moderate” (2,3) or “Severe” (4,5,excluded when necessary). A subset of 87 stacks that led to successful baseline reconstruction were further used to evaluate and compare the complete reconstruction pipeline. Selection criteria for a stack to be used in the reconstruction included: homogeneous in-plane and slice resolution in all stacks; stacks with thinner slices in cases where different slice thicknesses where available; fetuses with at least one stack per slice-select acquisition direction; and having no spin history or significant motion-induced intensity distortion artifact that could corrupt the reconstruction. The goal in this paper was not to challenge motion estimation or super-resolution reconstruction but to evaluate the performance of the proposed brain localization and extraction methods and their impact on final reconstruction.

Case F1 F2 F3 F4 F5 F6 F7 F8 F9 F10 F11 F12 F13 F14 F15 P1 P2 P3 P4 P5
GA (weeks) 27 28 28 29 29 30 30 31 31 32 33 33 34 35 35 25 26 26 30 34
Stacks (Localization-only) 6 7 6 5 6 14 9 7 3 8 11 8 6 9 4 10 4 15 6 10
Motion (0=none,5=severe) 2 5 4 3 3 1 1 2 3 3 3 4 4 3 2 4 1 1 2 2
Stacks (Reconstruction) 5 5 3 4 4 5 6 4 3 6 3 5 5 3 4 4 3 6 4 5