Patient-Specific Articulated Digital Twins from a Single Full-Body CT Scan
Patient-specific anatomical models provide individualized context for surgical planning, image-guided intervention, and algorithm development. However, most CT-derived models are static: they preserve the body configuration captured at scan time, but cannot represent how the same anatomy would appear after patient repositioning. This limitation is especially important for radiographic imaging, where appearance depends jointly on imaging geometry and patient pose. We present a proof-of-concept for constructing a patient-specific articulated digital twin from a single full-body CT scan. The meth
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Paper → model → repo connections mined from source citations (Tier-1 exact match).
Why these links exist
- Linked via arxiv authorMohan Zhang →
Patient-Specific Articulated Digital Twins from a Single Full-Body CT Scan
- Linked via arxiv authorBoyang Zhao →
Patient-Specific Articulated Digital Twins from a Single Full-Body CT Scan
- Linked via arxiv authorMathias Unberath →
Patient-Specific Articulated Digital Twins from a Single Full-Body CT Scan
