We present an integrated scanning system designed for data collection and 3D reconstruction of macroscopic ex-vivo soft tissues. It combines a commercial RGB-D camera, a rotary stage, and a lighting system to capture high-resolution images with known and repeatable camera poses. The captured data enable the training of Neural Radiance Field (NeRF) models. The technical validation assesses the precision of the camera system and the accuracy of the NeRF-based 3D reconstruction. The demonstration of the system in clinical settings is illustrated on ex-vivo tissue scans, proving the system’s potential for real-world deployment in medical environments.

Application of NeRF and RGB-D Camera for the Generation of Digital Twins of Biological Soft Tissues

Mezei, M. C.;Auletta, F.;Oddo, C. M.;
2025-01-01

Abstract

We present an integrated scanning system designed for data collection and 3D reconstruction of macroscopic ex-vivo soft tissues. It combines a commercial RGB-D camera, a rotary stage, and a lighting system to capture high-resolution images with known and repeatable camera poses. The captured data enable the training of Neural Radiance Field (NeRF) models. The technical validation assesses the precision of the camera system and the accuracy of the NeRF-based 3D reconstruction. The demonstration of the system in clinical settings is illustrated on ex-vivo tissue scans, proving the system’s potential for real-world deployment in medical environments.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11382/588003
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