The deformable most-likely-point paradigm.
Medical Image Analysis(2019)
Abstract
•Presenting a novel deformable registration paradigm using statistical shape models.•Developed three algorithms that use different features and noise model assumptions.•Experiments with simulated data show submillimeter registrations, reconstructions.•Preliminary results on in-vivo clinical data also show promising results.
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Key words
Deformable most-likely-point paradigm,Statistical shape models,Deformable registration,Shape inference
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