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<p>Retinal imaging is pivotal in the evaluation of ocular and systemic health, presenting significant promise for extensive population studies. However, the lack of standardized and automated techniques for extracting Imaging-Derived Phenotypes (IDPs) from retinal images is a major impediment. To counteract this challenge, the Chinese Human Phenome Project (CHPP) has developed a comprehensive protocol that includes Quality Control (QC), preprocessing, and automated or semi-automated extraction of IDPs from fundus photography and Optical Coherence Tomography (OCT) images. This protocol incorporates Artificial Intelligence (AI)-based methods to achieve accurate and efficient IDP extraction, facilitating standardized analysis of large-scale populations. We hope that this Standard Operating Procedure (SOP) guideline will impart valuable insights for ophthalmology-related disciplines and provides support for future research endeavors utilizing retinal imaging data.</p>

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Protocol for Retinal Imaging and Extraction of Imaging-Derived Phenotypes from the Chinese Human Phenome Project

  • 期刊论文

  • 发表日期：

    2025年2月21日

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  • Lizhen Lan,
  • Binxin Xu,
  • Zhiqiang Yan,
  • Yating Tang,
  • Shengli Shen,
  • Xuan Lan,
  • Yidan Gao,
  • Jianhua Jin,
  • Yan Zheng,
  • Chengyan Wang,
  • Jingchun Luo,
  • Mei Tian

摘要

Retinal imaging is pivotal in the evaluation of ocular and systemic health, presenting significant promise for extensive population studies. However, the lack of standardized and automated techniques for extracting Imaging-Derived Phenotypes (IDPs) from retinal images is a major impediment. To counteract this challenge, the Chinese Human Phenome Project (CHPP) has developed a comprehensive protocol that includes Quality Control (QC), preprocessing, and automated or semi-automated extraction of IDPs from fundus photography and Optical Coherence Tomography (OCT) images. This protocol incorporates Artificial Intelligence (AI)-based methods to achieve accurate and efficient IDP extraction, facilitating standardized analysis of large-scale populations. We hope that this Standard Operating Procedure (SOP) guideline will impart valuable insights for ophthalmology-related disciplines and provides support for future research endeavors utilizing retinal imaging data.