DBSegment: Fast and robust segmentation of deep brain structures -- Evaluation of transportability across acquisition domains. (arXiv:2110.09473v3 [eess.IV] UPDATED)

Segmenting deep brain structures from magnetic resonance images is important
for patient diagnosis, surgical planning, and research. Most current
state-of-the-art solutions follow a segmentation-by-registration approach,
where subject MRIs are mapped to a template with well-defined segmentations.
However, registration-based pipelines are time-consuming, thus, limiting their
clinical use. This paper uses deep learning to provide a robust and efficient
deep brain segmentation solution. The method consists of a pre-processing step
to conform all MRI images to the same orientation, followed by a …

acquisition arxiv brain evaluation segmentation