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CINA: Conditional Implicit Neural Atlas for Spatio-Temporal Representation of Fetal Brains
March 14, 2024, 4:41 a.m. | Maik Dannecker, Vanessa Kyriakopoulou, Lucilio Cordero-Grande, Anthony N. Price, Joseph V. Hajnal, Daniel Rueckert
cs.LG updates on arXiv.org arxiv.org
Abstract: We introduce a conditional implicit neural atlas (CINA) for spatio-temporal atlas generation from Magnetic Resonance Images (MRI) of the neurotypical and pathological fetal brain, that is fully independent of affine or non-rigid registration. During training, CINA learns a general representation of the fetal brain and encodes subject specific information into latent code. After training, CINA can construct a faithful atlas with tissue probability maps of the fetal brain for any gestational age (GA) and anatomical …
abstract arxiv atlas brain brains cs.cv cs.lg general images independent mri registration representation temporal training type
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