Abstract
Augmented Reality (AR) supports interactive 3D medical visualization but introduces challenges in data security, privacy, and collaborative access. This paper presents a decentralized AR framework that integrates a multimodal biometric cryptosystem, a redactable blockchain, and IPFS-based storage for secure visualization of patient-specific 3D anatomical models. User authentication combines facial and fingerprint biometrics protected by a fuzzy vault scheme with Reed-Solomon (RS) encoding and asymmetric encryption. Smart contracts on a private redactable blockchain provide secure, auditable access control for authorized users. MRI scans are converted into lightweight 3D meshes and visualized through a mobile AR application for collaborative surgical planning. Experimental results show low authentication latency and resilience against common security threats. A user study with 60 medical professionals confirms the framework’s security, privacy, usability, and clinical value, demonstrating its effectiveness for secure collaborative 3D medical visualization.
Links to Paper and Supplementary Materials
Main Paper (Open Access Version): https://papers.miccai.org/miccai-2026-sat/paper/COLAS_003.pdf
SharedIt Link: Not yet available
SpringerLink (DOI): Not yet available
Supplementary Material: Not Submitted
Link to Open Review
Open Review Page: https://openreview.net/forum?id=nIZjB4q20q
BibTex
@InProceedings{ShaShr_ASecure_MICCAISAT2026,
author = { Sharma, Shreyansh AND Chaudhury, Santanu},
title = { { A Secure AR Framework for 3D Medical Data Visualization using Decentralized Biometric Cryptosystem } },
booktitle = {Medical Image Computing and Computer Assisted Intervention -- MICCAI 2026 Workshops and Challenges},
year = {2026},
publisher = {Springer Nature Switzerland},
volume = {LNCS pending},
month = {pending},
page = {pending}
}