Self-Supervised Isotropic Superresolution Fetal Brain MRI
K. Lächler, H. Lajous, M. Unser, M. Bach Cuadra, P. del Aguila Pla
Proceedings of the Twentieth IEEE International Symposium on Biomedical Imaging (ISBI'23), Cartagena de Indias, Republic of Colombia, April 18-21, 2023, paper no. 565.
Superresolution T2-weighted fetal-brain magnetic-resonance imaging (FBMRI) traditionally relies on the availability of several orthogonal low-resolution series of 2-dimensional thick slices (volumes). In practice, only a few low-resolution volumes are acquired. Thus, optimization-based image-reconstruction methods require strong regularization using hand-crafted regularizers (e.g., TV). Yet, due to in utero fetal motion and the rapidly changing fetal brain anatomy, the acquisition of the high-resolution images that are required to train supervised learning methods is difficult. In this paper, we sidestep this difficulty by providing a proof of concept of a self-supervised single-volume superresolution framework for T2-weighted FBMRI (SAIR). We validate SAIR quantitatively in a motion-free simulated environment. Our results for different noise levels and resolution ratios suggest that SAIR is comparable to multiple-volume superresolution reconstruction methods. We also evaluate SAIR qualitatively on clinical FBMRI data. The results suggest SAIR could be incorporated into current reconstruction pipelines.
@INPROCEEDINGS(http://bigwww.epfl.ch/publications/laechler2301.html,
AUTHOR="L{\"{a}}chler, K. and Lajous, H. and Unser, M. and Bach Cuadra,
M. and del Aguila Pla, P.",
TITLE="Self-Supervised Isotropic Superresolution Fetal Brain {MRI}",
BOOKTITLE="Proceedings of the Twentieth IEEE International Symposium on
Biomedical Imaging ({ISBI'23})",
YEAR="2023",
editor="",
volume="",
series="",
pages="",
address="Cartagena de Indias, Republic of Colombia",
month="April 18-21,",
organization="",
publisher="",
note="paper no.\ 565")