发表机构
South China University of Technology; The First Affiliated Hospital of Sun Yat-sen University; Guangzhou First People’s Hospital, The Second Affiliated Hospital of South China University of Technology; Penn State College of Medicine（华南理工大学; 中山大学附属第一医院; 广州市第一人民医院/南方医科大学附属广州医院; 宾夕法尼亚州立大学医学院）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
该研究针对深部组织无创活细胞成像的挑战，提出IDPD模型，通过多层分析工作流程实现细胞级大脑微观结构的无创成像，为评估体内活细胞功能提供新途径。
AI 中文摘要
对人体深部组织进行无创活细胞成像，对于探索细胞生物学和致病过程至关重要，但仍是一项尚未解决的重大挑战。扩散磁共振成像（dMRI）有望缩小这一差距，它可无创提供细胞级微观结构信息。在一个包含数百万活细胞的拥挤体素内，复杂的细胞级微观结构形成了众多微区室，每个微区室具有特定的扩散率。然而，传统dMRI方法依赖于体素平均的宏观参数，仅能反映总体微观结构特性，无法量化单个体素内微区室特异性扩散率的分布，从而掩盖了微观结构细节。在此，我们提出一种体素内扩散率概率分布（IDPD）模型，通过量化微区室特异性扩散率分布来解析大量重要微观结构信息，从而实现直接的细胞级表征。这一卓越能力通过多层分析工作流程得以实现，涵盖靶向单个体素或感兴趣区域（ROI）分析，以及利用动态视频和统计参数图进行的全局可视化。最终，IDPD模型可实现无创细胞级微观结构成像，为评估体内活细胞功能提供了一条有前景的途径。
英文摘要
Noninvasive live-cell imaging in deep human tissues is crucial for exploring the cellular biological and pathogenic processes, but remains a significant unmet challenge. Diffusion magnetic resonance imaging (dMRI) promises to narrow this gap by noninvasively providing cellular-level microstructural information. Within a single crowded voxel containing millions of living cells, the intricate cellular-level microstructures create numerous microcompartments, each characterized by a specific diffusivity. However, conventional dMRI methods relying on voxel-averaged macroscopic parameters, merely reflect aggregate microstructural properties and fail to quantify this distribution of microcompartment-specific diffusivity within a voxel, thereby obscuring microstructural details. Here, we propose an intravoxel diffusivity probability distribution (IDPD) model to resolve a wealth of essential microstructural information via quantifying microcompartment-specific diffusivity distribution, thereby enabling direct cellular-level characterization. This exceptional capability is realized through a multi-tiered analytical workflow spanning targeted single-voxel or region of interest (ROI) analysis to global visualization using dynamic videos and statistic parametric maps. Ultimately, the IDPD model enables noninvasive cellular-level microstructure imaging, offering a promising avenue to evaluate living cell functions in vivo.
