A deep learning network performs non-rigid volume-to-surface registration to recover dense displacement fields from partial brain surface point clouds, achieving 1.13 mm endpoint error for brain shift compensation.
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Deep learning based Non-Rigid Volume-to-Surface Registration for Brain Shift compensation Using Point Cloud
A deep learning network performs non-rigid volume-to-surface registration to recover dense displacement fields from partial brain surface point clouds, achieving 1.13 mm endpoint error for brain shift compensation.