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. Author manuscript; available in PMC: 2022 Mar 3.
Published in final edited form as: IEEE Trans Med Imaging. 2022 Mar 2;41(3):543–558. doi: 10.1109/TMI.2021.3116879

Fig. 3.

Fig. 3.

Data synthesis. Top: from random shapes. Bottom: if available, from anatomical labels. We generate a pair of label maps {sm, sf} and from them images {m, f} with arbitrary contrast. The registration network then predicts the displacement um→f. If anatomical labels are used, we generate {sm, sf} from separate subjects.