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在皮层表面上进行个性化dMRI协调.

Yihao Xia1,2, Yonggang Shi1,2

  • 1Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California (USC), Los Angeles, CA 90033, USA.

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|March 19, 2024
PubMed
概括

扩散MRI协调对于多中心研究至关重要. 一个基于表面的新框架改善了皮质微结构数据的协调,优于传统方法.

关键词:
皮层表面 皮层表面扩散式核磁共振成像 (MRI)统一化 统一化 统一化

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科学领域:

  • 神经成像是一种神经成像.
  • 计算神经科学是一种神经科学.
  • 生物医学工程 生物医学工程

背景情况:

  • 扩散MRI (dMRI) 数据的跨站点变异性阻碍了多中心聚合.
  • 协调是必要的,以消除dMRI中的非生物部位效应.
  • 高分辨率的dMRI使皮质微结构的大规模分析成为可能.

研究的目的:

  • 开发一个新的框架,用于在皮层表面进行个性化dMRI协调.
  • 通过自适应地估计站点间映射来改善灰色物质的dMRI协调.
  • 克服现有的基于登记的协调方法在皮质区域的局限性.

主要方法:

  • 提出了一个在皮层表面进行个性化dMRI协调的框架.
  • 采用了跨站点协调映射的适应性估计.
  • 应用该方法在人类结合体项目 (HCP) 和HCP-开发 (HCPD) 研究中协调dMRI数据.

主要成果:

  • 拟议的方法在协调dMRI数据方面表现出卓越的性能.
  • 与传统的基于注册的方法相比,实现了明显更好的协调.
  • 有效地解决了调整皮层折叠模式以实现协调的挑战.

结论:

  • 个性化,基于表面的协调框架有效地改善了皮质灰质中的dMRI协调.
  • 这种方法比现有方法有了显著的进步,特别是在大规模的连接组研究中.
  • 能够对多中心dMRI数据集进行更强大的聚合和分析.