The Iris File Extension

Q2 Medicine
Ryan Erik Landvater, Michael David Olp, Mustafa Yousif, Ulysses Balis
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引用次数: 0

Abstract

A modern digital pathology vendor-agnostic binary slide format specifically targeting the unmet need of efficient real-time transfer and display has not yet been established. The growing adoption of digital pathology only intensifies the need for an intermediary digital slide format that emphasizes performance for use between slide servers and image management software. The DICOM standard is a well-established format widely used for the long-term storage of both images and associated critical metadata. However, it was inherently designed for radiology rather than digital pathology, a discipline that imposes a unique set of performance requirements due to high-speed multi-pyramidal rendering within whole slide viewer applications. Here, we introduce the Iris file extension, a binary container specification explicitly designed for performance-oriented whole slide image (WSI) viewer systems. The Iris file extension specification is explicit and straightforward, adding modern compression support, a dynamic structure with fully optional metadata features, computationally trivial deep file validation, corruption recovery capabilities, and slide annotations. In addition to the file specification document, we provide source code to allow for (de)serialization and validation of a binary stream against the standard. We also provide corresponding binary builds with C++, Python, and JavaScript language support. Finally, we provide full encoder and decoder implementation source code, as well as binary builds (part of the separate Iris Codec Community module), with language bindings for C++ and Python, allowing for easy integration with existing WSI solutions. We provide the Iris File Extension specification openly to the community in the form of a Creative Commons Attribution-No Derivative 4.0 International license.
虹膜文件扩展名
一种现代数字病理与供应商无关的二进制幻灯片格式,专门针对未满足的高效实时传输和显示需求,尚未建立。越来越多地采用数字病理学只会加强对中间数字幻灯片格式的需求,强调在幻灯片服务器和图像管理软件之间使用的性能。DICOM标准是一种完善的格式,广泛用于图像和相关关键元数据的长期存储。然而,它本质上是为放射学而不是数字病理学设计的,由于在整个幻灯片查看器应用程序中高速多金字塔渲染,这一学科强加了一组独特的性能要求。在这里,我们介绍Iris文件扩展名,这是一个专门为面向性能的全幻灯片图像(WSI)查看器系统设计的二进制容器规范。Iris文件扩展名规范是明确而直接的,它添加了现代压缩支持、具有完全可选元数据特性的动态结构、计算上微不足道的深度文件验证、损坏恢复功能和幻灯片注释。除了文件规范文档之外,我们还提供了源代码,允许根据标准对二进制流进行(反)序列化和验证。我们还提供相应的带有c++、Python和JavaScript语言支持的二进制构建。最后,我们提供了完整的编码器和解码器实现源代码,以及二进制构建(独立的Iris编解码器社区模块的一部分),带有c++和Python的语言绑定,允许与现有的WSI解决方案轻松集成。我们以知识共享署名-禁止衍生4.0国际许可协议的形式向社区公开提供虹膜文件扩展规范。
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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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