基于PAM50脊髓模板的注册
Sandrine Bédard1, Jan Valošek1,2,3,4, Valeria Oliva5,6
1NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada.
Imaging neuroscience (Cambridge, Mass.)
|August 29, 2025
概括
使用神经根的新脊髓成像方法改善了功能性MRI (fMRI) 组分析的解剖对齐. 这种基于rootlet的注册增强了准确性和可重复性,导致更可靠的神经成像结果.
科学领域:
- 神经成像
- 脊髓的解剖学
- 医学图像分析
背景情况:
- 脊髓功能性MRI (fMRI) 需要精确的解剖学定位进行组分析.
- 使用椎间盘进行注册的传统方法存在解剖学变异性.
- 在脊髓研究中,改善对齐对于可靠的语音组分析至关重要.
研究的目的:
- 开发和验证使用背部根的脊髓fMRI的新注册方法.
- 为了提高对齐准确度和可重复性,在不同个体和不同的部位置.
- 将基于rootlet的注册与基于磁盘的传统方法在组级fMRI分析中的性能进行比较.
主要方法:
- 开发了一种非线性注册方法,将细分的背部根与PAM50脊髓模板对齐.
- 在大型多个受试者,多个地点的数据集 (n=267) 和不同部位置的数据集 (n=10) 上验证了该方法.
- 基于任务的fMRI (n=23) 的组级激活图与基于磁盘的注册进行了比较.
主要成果:
- 与基于磁盘的方法相比,基于rootlet的注册在226个个体的一般分析和176个个体的形态分析中显示出优异的对齐.
- 不同的部位置显示出更大的稳定性.
- 基于任务的fMRI分析显示Z得分增加,激活集群大小显著增加 (3292至7978个voxel),基于rootlet的注册.
结论:
- 基于rootlet的注册显著改善了脊髓成像中的内部和内部解剖对齐.
- 这种方法增强了群体级fMRI分析的空间规范化,提高了精度和可靠性.
- 这些发现支持基于根子的注册在推进脊髓神经成像方面的潜力.
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