Whole slide images as non-fungible tokens: A decentralized approach to secure, scalable data storage and access

Arlen Brickman , Yigit Baykara , Miguel Carabaño , Sean M. Hacking
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Abstract

Background

Distributed ledger technology (DLT) enables the creation of tamper-resistant, decentralized, and secure digital ledgers. A non-fungible token (NFT) represents a record on-chain associated with a digital or physical asset, such as a whole-slide image (WSI). The InterPlanetary File System (IPFS) represents an off-chain network, hypermedia, and file sharing peer-to-peer protocol for storing and sharing data in a distributed file system. Today, we need cheaper, more efficient, highly scalable, and transparent solutions for WSI data storage and access of medical records and medical imaging data.

Methods

WSIs were created from non-human tissues and H&E-stained sections were scanned on a Philips Ultrafast WSI scanner at 40× magnification objective lens (1 μm/pixel). TIFF images were stored on IPFS, while NFTs were minted on the Ethereum blockchain network in ERC-1155 standard. WSI-NFTs were stored on MetaMask and OpenSea was used to display the WSI-NFT collection. Filebase storage application programing interface (API) were used to create dedicated gateways and content delivery networks (CDN).

Results

A total of 10 WSI-NFTs were minted on the Ethereum blockchain network, found on our collection “Whole Slide Images as Non-fungible Tokens Project” on Open Sea: https://opensea.io/collection/untitled-collection-126765644. WSI TIFF files ranged in size from 1.6 to 2.2 GB and were stored on IPFS and pinned on 3 separate nodes. Under optimal conditions, and using a dedicated CDN, WSI reached retrieved at speeds of over 10 mb/s, however, download speeds and WSI retrieval times varied significantly depending on the file and gateway used. Overall, the public IPFS gateway resulted in variably poorer WSI download retrieval performance compared to gateways provided by Filebase storage API.

Conclusion

Whole-slide images, as the most complex and substantial data files in healthcare, demand innovative solutions. In this technical report, we identify pitfalls in IPFS, and demonstrate proof-of-concept using a 3-layer architecture for scalable, decentralized storage, and access. Optimized through dedicated gateways and CDNs, which can be effectively applied to all medical data and imaging modalities across the healthcare sector. DLT and off-chain network solutions present numerous opportunities for advancements in clinical care, education, and research. Such approaches uphold the principles of equitable healthcare data ownership, security, and democratization, and are poised to drive significant innovation.

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作为不可篡改代币的整张幻灯片图像:安全、可扩展数据存储和访问的去中心化方法
背景分布式账本技术(DLT)能够创建防篡改、去中心化和安全的数字账本。不可篡改令牌(NFT)代表与数字或物理资产(如整张幻灯片图像(WSI))相关的链上记录。星际文件系统(IPFS)是一种链外网络、超媒体和文件共享点对点协议,用于在分布式文件系统中存储和共享数据。如今,我们需要更便宜、更高效、可高度扩展和透明的解决方案来存储 WSI 数据,并访问医疗记录和医学成像数据。方法从非人类组织创建 WSI,并在飞利浦超快 WSI 扫描仪上以 40 倍放大率物镜(1 微米/像素)扫描 H&E 染色切片。TIFF 图像存储在 IPFS 上,而 NFT 则以 ERC-1155 标准在以太坊区块链网络上铸造。WSI-NFT存储在MetaMask上,OpenSea用于显示WSI-NFT集合。Filebase 存储应用编程接口(API)被用于创建专用网关和内容交付网络(CDN)。结果在以太坊区块链网络上总共铸造了 10 个 WSI-NFT,这些 WSI-NFT 在 Open Sea 上的 "整张幻灯片图像作为不可篡改代币项目 "集合中找到:https://opensea.io/collection/untitled-collection-126765644。WSI TIFF 文件的大小从 1.6 GB 到 2.2 GB 不等,存储在 IPFS 上,并固定在 3 个不同的节点上。在最佳条件下,使用专门的 CDN,WSI 的检索速度超过 10 mb/s,但下载速度和 WSI 检索时间因文件和使用的网关不同而有很大差异。总体而言,与 Filebase 存储 API 提供的网关相比,公共 IPFS 网关的 WSI 下载检索性能要差一些。在本技术报告中,我们指出了 IPFS 中存在的缺陷,并使用可扩展、分散存储和访问的 3 层架构演示了概念验证。通过专用网关和 CDN 进行优化,可有效应用于医疗保健领域的所有医疗数据和成像模式。DLT 和链外网络解决方案为临床护理、教育和研究的进步提供了大量机会。这些方法坚持公平的医疗数据所有权、安全性和民主化原则,有望推动重大创新。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Pathology Informatics
Journal of Pathology Informatics Medicine-Pathology and Forensic Medicine
CiteScore
3.70
自引率
0.00%
发文量
2
审稿时长
18 weeks
期刊介绍: The Journal of Pathology Informatics (JPI) is an open access peer-reviewed journal dedicated to the advancement of pathology informatics. This is the official journal of the Association for Pathology Informatics (API). The journal aims to publish broadly about pathology informatics and freely disseminate all articles worldwide. This journal is of interest to pathologists, informaticians, academics, researchers, health IT specialists, information officers, IT staff, vendors, and anyone with an interest in informatics. We encourage submissions from anyone with an interest in the field of pathology informatics. We publish all types of papers related to pathology informatics including original research articles, technical notes, reviews, viewpoints, commentaries, editorials, symposia, meeting abstracts, book reviews, and correspondence to the editors. All submissions are subject to rigorous peer review by the well-regarded editorial board and by expert referees in appropriate specialties.
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