CorticalFlow$^{++}$: Boosting Cortical Surface Reconstruction Accuracy, Regularity, and Interoperability. (arXiv:2206.06598v1 [eess.IV])

The problem of Cortical Surface Reconstruction from magnetic resonance
imaging has been traditionally addressed using lengthy pipelines of image
processing techniques like FreeSurfer, CAT, or CIVET. These frameworks require
very long runtimes deemed unfeasible for real-time applications and unpractical
for large-scale studies. Recently, supervised deep learning approaches have
been introduced to speed up this task cutting down the reconstruction time from
hours to seconds. Using the state-of-the-art CorticalFlow model as a blueprint,
this paper proposes three modifications to improve its …

accuracy arxiv boosting interoperability