使用平衡稳态自由进动磁共振指纹成像的无对比剂脑微血管定量与弛豫测量
Relaxometry and contrast-free cerebral microvascular quantification using balanced Steady-State Free Precession MR Fingerprinting
AI总结：
本研究提出一种基于bSSFP序列的无对比剂MRF方法，通过字典匹配模拟微血管网络，实现脑血容量、血管半径及弛豫参数的同时定量，并验证其与标准方法的一致性。
摘要：
本研究提出了一种新颖的、无对比剂的磁共振指纹成像（MRF）方法，采用平衡稳态自由进动（bSSFP）序列，用于量化脑血容量（CBV）、血管半径（R）以及脑部弛豫参数（T1、T2、T2*）。该技术利用了bSSFP序列在瞬态和稳态条件下对体素内频率分布的敏感性。通过字典匹配过程，使用真实小鼠微血管网络的模拟生成MRF字典。该方法通过计算机模拟研究和六名健康受试者的体内实验进行验证，并与标准MRF方法和文献值进行比较。所提出的方法在T1和T2值方面与标准MRF方法显示出强相关性和一致性。高分辨率图谱提供了CBV和微血管结构的详细可视化，突出了白质（WM）和灰质（GM）区域的差异。测得的CBV的GM/WM比值为1.91，与文献值一致。这种基于bSSFP的无对比剂MRF方法为量化CBV、血管半径和弛豫参数提供了一种创新途径。进一步针对DSC成像和病理状态下的临床研究进行验证，以确认其临床实用性是必要的。
英文摘要：
This study proposes a novel, contrast-free Magnetic Resonance Fingerprinting (MRF) method using balanced Steady-State Free Precession (bSSFP) sequences for the quantification of cerebral blood volume (CBV), vessel radius (R), and relaxometry parameters (T1, T2 T2*) in the brain. The technique leverages the sensitivity of bSSFP sequences to intra-voxel frequency distributions in both transient and steady-state regimes. A dictionary-matching process is employed, using simulations of realistic mouse microvascular networks to generate the MRF dictionary. The method is validated through in silico studies and in vivo experiments on six healthy subjects, comparing results with standard MRF methods and literature values. The proposed method shows strong correlation and agreement with standard MRF methods for T1 and T2 values. High-resolution maps provide detailed visualizations of CBV and microvascular structures, highlighting differences in white matter (WM) and grey matter (GM) regions. The measured GM/WM ratio for CBV is 1.91, consistent with literature values. This contrast-free bSSFP-based MRF method offers an innovative approach for quantifying CBV, vessel radius, and relaxometry parameters. Further validation against DSC imaging and clinical studies in pathological conditions is warranted to confirm its clinical utility.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
