AI RESEARCH
ECLARE: Efficient cross-planar learning for anisotropic resolution enhancement
arXiv CS.CV
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ArXi:2503.11787v3 Announce Type: replace In clinical imaging, magnetic resonance (MR) image volumes are often acquired as stacks of 2D slices with decreased scan times, improved signal-to-noise ratio, and image contrasts unique to 2D MR pulse sequences. While this is sufficient for clinical evaluation, automated algorithms designed for 3D analysis perform poorly on multi-slice 2D MR volumes, especially those with thick slices and gaps between slices.