Towards a 4D Spatio-Temporal Atlas of the Embryonic and Fetal Brain Using a Deep Learning Approach for Groupwise Image Registration

Author:

Bastiaansen Wietske A. P.,Rousian Melek,Steegers-Theunissen Régine P. M.,Niessen Wiro J.,Koning Anton H. J.,Klein Stefan

Publisher

Springer International Publishing

Reference19 articles.

1. Balci, S.K., Golland, P., Shenton, M.E., Wells, W.M.: Free-form B-spline deformation model for groupwise registration. Med. Image Comput. Comput. Assist. Interv. 10, 23–30 (2007)

2. Bastiaansen, W.A., Rousian, M., Steegers-Theunissen, R.P., Niessen, W.J., Koning, A.H., Klein, S.: Multi-atlas segmentation and spatial alignment of the human embryo in first trimester 3D ultrasound. arXiv:2202.06599 (2022)

3. Bhatia, K., Hajnal, J., Puri, B., Edwards, A., Rueckert, D.: Consistent groupwise non-rigid registration for atlas construction. In: 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro, vol. 1, pp. 908–911 (2004)

4. Dalca, A., Rakic, M., Guttag, J., Sabuncu, M.: Learning conditional deformable templates with convolutional networks. In: Advances in Neural Information Processing Systems, vol. 32 (2019)

5. Dittrich, E., et al.: A spatio-temporal latent atlas for semi-supervised learning of fetal brain segmentations and morphological age estimation. Med. Image Anal. 18(1), 9–21 (2014)

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