医学图像去识别基准挑战
计算机视觉与模式识别
2025-08-01 v1 密码学与安全
摘要
受保护健康信息（PHI）和可识别个人信息（PII）的去识别（deID）是共享医学图像、特别是通过公共数据仓库以确保符合患者隐私法律的基本要求。此外，保留非 PHI 元数据以 Inform and enable 下游开发医学人工智能（AI）也是医学生物研究中重要的考虑因素。MIDI-B 挑战的目标是提供一个标准化平台，用于基于符合 HIPAA Safe Harbor 法规、DICOM Attribute Confidentiality Profiles 以及 The Cancer Imaging Archive（TCIA）所定义的最佳实践进行去识别 DICOM 图像工具的基准测试。该挑战采用大规模、多样化、跨中心和跨模态的真实去识别放射学图像数据集，并插入合成 PHI/PII。MIDI-B 挑战分为三个阶段：训练、验证和测试。80 位注册者参与了该挑战。在训练阶段，我们鼓励参赛者使用其自有的或公共数据来调整算法。在验证和测试阶段采用包含合成标识符的 DICOM 图像（分别为 216 和 322 名受试者）。十支队伍成功完成了该挑战的测试阶段。为衡量基于规则的图像去识别方法的成功程度，计算正确操作的百分比占总必需操作数的比例。得分范围为 97.91% 至 99.93%。参赛者采用多种开源和专有工具，配合自定义配置，大语言模型和光学字符识别（OCR）。本文提供了关于 MIDI-B 挑战设计、实施、结果及经验教训的综合报告。
引用
@article{arxiv.2507.23608,
title = {Medical Image De-Identification Benchmark Challenge},
author = {Linmin Pei and Granger Sutton and Michael Rutherford and Ulrike Wagner and Tracy Nolan and Kirk Smith and Phillip Farmer and Peter Gu and Ambar Rana and Kailing Chen and Thomas Ferleman and Brian Park and Ye Wu and Jordan Kojouharov and Gargi Singh and Jon Lemon and Tyler Willis and Milos Vukadinovic and Grant Duffy and Bryan He and David Ouyang and Marco Pereanez and Daniel Samber and Derek A. Smith and Christopher Cannistraci and Zahi Fayad and David S. Mendelson and Michele Bufano and Elmar Kotter and Hamideh Haghiri and Rajesh Baidya and Stefan Dvoretskii and Klaus H. Maier-Hein and Marco Nolden and Christopher Ablett and Silvia Siggillino and Sandeep Kaushik and Hongzhu Jiang and Sihan Xie and Zhiyu Wan and Alex Michie and Simon J Doran and Angeline Aurelia Waly and Felix A. Nathaniel Liang and Humam Arshad Mustagfirin and Michelle Grace Felicia and Kuo Po Chih and Rahul Krish and Ghulam Rasool and Nidhal Bouaynaya and Nikolas Koutsoubis and Kyle Naddeo and Kartik Pandit and Tony O'Sullivan and Raj Krish and Qinyan Pan and Scott Gustafson and Benjamin Kopchick and Laura Opsahl-Ong and Andrea Olvera-Morales and Jonathan Pinney and Kathryn Johnson and Theresa Do and Juergen Klenk and Maria Diaz and Arti Singh and Rong Chai and David A. Clunie and Fred Prior and Keyvan Farahani},
journal= {arXiv preprint arXiv:2507.23608},
year = {2025}
}
备注
19 pages