arXiv · 2508.17635
Wound3DAssist: A Practical Framework for 3D Wound Assessment
Abstract
Managing chronic wounds remains a major healthcare challenge, with clinical assessment often relying on subjective and time-consuming manual documentation methods. Although 2D digital videometry frameworks have aided wound measurement, these approaches struggle with perspective distortion, a limited field of view, and an inability to capture wound depth, especially in anatomically complex or curved regions. To overcome these limitations, we present Wound3DAssist, a practical framework for 3D wound assessment using monocular consumer-grade videos. Our framework generates 3D wound models from short handheld recordings captured using consumer-grade devices, enabling non-contact, automatic measurements from reconstructed multi-view surfaces. We integrate 3D reconstruction, wound segmentation, tissue classification, and periwound analysis into a modular workflow. We evaluate Wound3DAssist across digital models with known geometry, silicone phantoms, and real patients. Results show that the framework supports high-quality wound bed visualization, approximately millimeter-scale surface reconstruction accuracy in the evaluated clinical cases, and multi-view wound-tissue composition analysis. Full assessments are completed in under 20 minutes, demonstrating feasibility for a research framework intended for future clinical workflow evaluation.
Explore related subjects
Keep this discovery
Explore connections, maps & timelines
Remi Chierchia, Rodrigo Santa Cruz, Léo Lebrat, Yulia Arzhaeva, Mohammad Ali Armin, Jeremy Oorloff, Chuong Nguyen, Olivier Salvado, Clinton Fookes, David Ahmedt-Aristizabal. 2026-09-02. Wound3DAssist: A Practical Framework for 3D Wound Assessment. https://arxiv.org/abs/2508.17635
Cite the original work for its findings. Save a collection to share your selection of sources.
Discover connections
Connections use source metadata and explicit phrase matches, not verified experimental comparisons.