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阿尔茨海默氏症成像联盟

Christopher G Schwarz1, Carl M Prakaashana1, Walter K Kremers1

  • 1Mayo Clinic, Rochester, MN, USA.

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概括
此摘要是机器生成的。

在脑成像研究中使用的De-facing软件显示了跨种族群体的性能差异. 这些差异很小,不太可能影响目前的阿尔茨海默病研究分析.

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科学领域:

  • 神经成像是一种神经成像.
  • 医学图像分析 医学图像分析
  • 计算神经科学是一种神经科学.

背景情况:

  • 自动面部识别的进步需要脑部MRI的面部识别软件.
  • 目前的面对工具在有限的种族群体上得到验证,主要是非西班牙裔白人参与者.
  • 在不同人群中对抗软件的性能差异仍然未得到充分研究.

研究的目的:

  • 为了评估不同种族群体的脱脸软件的性能.
  • 为了比较非西班牙裔白人,非裔美国人和墨西哥裔美国人的大脑测量 (灰质体积和皮质厚度) 的影响.

主要方法:

  • 利用了305名健康和衰老大脑研究:健康差异 (HABS-HD) 队列的T1加权MRI数据.
  • 根据年龄,性别和认知状况,在三个种族群体 (非西班牙裔白人,非洲裔美国人,墨西哥裔美国人) 中匹配了参与者.
  • 应用 mri_reface 软件用于 de-facing 和 FreeSurfer 进行大脑测量,比较不同组的 de-faced 和原始图像之间的差异.

主要成果:

  • 由于脱面而导致的皮层厚度差异在非西班牙裔白人和墨西哥裔美国人之间,以及在非裔美国人和墨西哥裔美国人之间有很大的差异.
  • 在非洲裔美国人和墨西哥裔美国人之间,灰色物质体积差异显著.
  • 观察到的差异通常很小,对分析的大多数大脑区域的影响很小.

结论:

  • 在神经成像研究中,De-facing软件表现出种族性能的变化.
  • 虽然在统计学上显著,但在大脑测量中观察到的差异不太可能影响当前的分析.
  • 未来的工作将专注于优化面对算法,以确保所有人群的公平表现.