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Surface-to-Skeleton 3D Cephalometry: Estimating Hidden Skeletal Landmarks from CT-Derived External Soft-Tissue Surfaces
Not provided in the abstract
3D modelingmedical imaginglandmark estimation
2608.12537
Builder Relevance
6h ago70%
Abstract
The study investigates the feasibility of inferring internal skeletal landmarks from external soft-tissue geometry using CT-derived surfaces.
Reality Card
Core Claim
The study successfully demonstrates that hidden skeletal landmarks can be inferred from external soft-tissue geometry with a mean radial error of 2.97 mm.
Method / Result
Achieved a mean radial error of 2.97 mm on skeletal landmarks and 3.03 mm on deep or surface-invisible landmarks.
Limitations
Optical-transfer diagnostics indicate unresolved issues with deployable optical inference.