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An Artificial Agent for Robust Image Registration

AAAI 2017 · Image generation › Image restoration · approach: Inverse imaging with learned priors · 184 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use the learned agent instead of human manual registration3-D rigid image registration · Spine E1success rate (TRE≤10 mm): 70% -> 92%Helped
Use the learned agent instead of human manual registration3-D rigid image registration · Heart E2success rate (MME≤20 mm): 96% -> 100%Helped
Use the learned agent instead of semantic registration3-D rigid image registration · Spine E1success rate (TRE≤10 mm): 24% -> 92%Helped
Use the learned agent instead of semantic registration3-D rigid image registration · Heart E2success rate (MME≤20 mm): 72% -> 100%Helped
Add the refinement CNN after coarse alignment (ablation)Proposed method · Spine E1median TRE (mm): 3.4mm -> 2.5mmHelped
Use DSL rather than DRL for policy trainingRegistration agent · Modified 2-D spine registrationregistration performanceHelped

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