FreeSurfer 7质量控制:关键问题领域和手动校正的重要性
Vesa Vahermaa1, Dogu Baran Aydogan2, Tuukka Raij3
1Department of Computer Science, Aalto School of Science, Aalto University, Finland; Mental Health Unit, Finnish Institute for Health and Welfare, Finland.
NeuroImage
|August 4, 2023
概括
用Freesurfer处理的大脑磁共振成像 (MRI) 数据的手动质量控制显示了灰色物质边界检测中的错误. 纠正这些错误对关键的大脑测量的影响很小,这表明对于大多数研究来说,它可能不必要.
科学领域:
- 神经成像是一种神经成像.
- 神经科学是一个神经科学.
- 放射学 放射学是一门学科.
背景情况:
- 使用Freesurfer进行脑磁共振成像 (MRI) 分析在神经科学研究中很常见.
- 对灰色和白质边界的准确细分对于可靠的神经成像指标至关重要.
- 手动质量控制通常用于识别和纠正Freesurfer处理错误.
研究的目的:
- 评估手动质量控制对自由冲浪者处理的大脑MRI数据的影响.
- 评估纠正灰质边界误差对大脑体积,厚度和表面积的影响.
- 为了确定 Freesurfer 分析中手动纠错的必要性和效率.
主要方法:
- 来自第一发精神病患者 (N=60) 和健康对照组 (N=41) 的T1加权MRI图像使用Freesurfer v7.1.1.1.进行处理.
- 进行了灰色物质边界误差的手动检查.
- 纠正错误,量化大脑体积,皮质厚度和表面积的变化.
主要成果:
- 自由冲浪者 v7.1.1.1. 在皮质灰色物质边界检测中经常出现错误.
- 手动纠正这些错误导致对标准神经成像变量的有限变化.
- 在处理女性大脑的过程中,与男性大脑相比,观察到的错误较少.
结论:
- 由于对主要指标的影响最小,手动纠正Freesurfer灰色物质边界错误可能不总是有价值的.
- 对于专注于经常受到错误影响的特定区域的研究,可能存在例外,例如小脑,半中心叶片和视神经.
- 这些发现表明,需要重新评估大脑MRI研究中Freesurfer处理手动质量控制的常规应用.
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