College of Information and Computer, Taiyuan University of Technology, Taiyuan, 030024, China.
State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, 100875, China.
Sci Data. 2022 Jun 9;9(1):286. doi: 10.1038/s41597-022-01413-3.
The big-data use is becoming a standard practice in the neuroimaging field through data-sharing initiatives. It is important for the community to realize that such open science effort must protect personal, especially facial information when raw neuroimaging data are shared. An ideal tool for the face anonymization should not disturb subsequent brain tissue extraction and further morphological measurements. Using the high-resolution head images from magnetic resonance imaging (MRI) of 215 healthy Chinese, we discovered and validated a template effect on the face anonymization. Improved facial anonymization was achieved when the Chinese head templates but not the Western templates were applied to obscure the faces of Chinese brain images. This finding has critical implications for international brain imaging data-sharing. To facilitate the further investigation of potential culture-related impacts on and increase diversity of data-sharing for the human brain mapping, we released the 215 Chinese multi-modal MRI data into a database for imaging Chinese young brains, namely'I See your Brains (ISYB)', to the public via the Science Data Bank ( https://doi.org/10.11922/sciencedb.00740 ).
通过数据共享计划,大数据的使用正成为神经影像学领域的标准实践。对于科学界来说,重要的是要意识到,在共享原始神经影像学数据时,必须保护个人特别是面部信息。理想的面部匿名化工具在进行后续的脑组织提取和进一步的形态学测量时,不应造成干扰。我们使用了 215 名健康中国人的磁共振成像(MRI)的高分辨率头部图像,发现并验证了面部匿名化中的模板效应。当应用中国人的头部模板而不是西方模板来模糊中国人的大脑图像时,可以实现更好的面部匿名化。这一发现对国际脑成像数据共享具有重要意义。为了促进对潜在的与文化相关的影响的进一步研究,并增加人类大脑图谱数据共享的多样性,我们将 215 名中国人的多模态 MRI 数据发布到一个用于成像中国人年轻大脑的数据库中,即“I See your Brains (ISYB)”,并通过科学数据银行(https://doi.org/10.11922/sciencedb.00740)向公众开放。