适用于B1与运动校正的厂商无关联合弛豫测量及髓鞘水分数mapping
Vendor-Agnostic Joint Relaxometry and Myelin Water Fraction Mapping with B1 and Motion Correction
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中文总结 AI 辅助
提出一种厂商无关的磁共振采集与校正方法，实现T1、T2及髓鞘水分数联合mapping，经多类实验验证，可用于多站点多厂商神经影像学研究
中文摘要 AI 辅助
在不同站点和厂商间获取一致的髓鞘含量及弛豫时间定量图谱，对加深脑发育的理解至关重要。本文提出一种协调化、厂商无关的磁共振采集方法，用于联合T1、T2及髓鞘水分数mapping，同时提出一种快速B1+与B1-场估计算法。采用基于字典的拟合及多室建模方法，实现T1、T2与髓鞘水分数的联合mapping；将自导航回顾性运动校正与子空间重建相结合，用于扫描过程中刚性头部运动的追踪与校正，无需外部硬件。仿真、体模及在体实验证实了该方法的灵敏度与准确性，尤其对应于髓鞘的短T2值，且在多种类型扫描仪上表现出一致性能。结合协调化校准扫描，该方法包为成人及儿科人群的多站点、多厂商神经影像学研究提供了实用工具。
英文摘要
Obtaining consistent quantitative maps of myelin content and relaxation times across different sites and vendors is essential for advancing our understanding of brain development. Herein, we present a harmonized, vendor-agnostic magnetic resonance acquisition method designed for joint T1, T2, and myelin water fraction mapping, along with a method for rapid B1+ and B1- field estimation. We used our dictionary-based fitting and multi-compartment modeling for joint mapping of T1, T2 and myelin water fraction. Self-navigation-based retrospective motion correction was integrated with subspace reconstruction to track and correct rigid head motion during scanning, operating without the need for external hardware. Simulations, phantom and in vivo experiments confirmed the sensitivity and accuracy of the method, particularly for short T2 values corresponding to myelin, and demonstrated consistent performance across multiple scanner types. Coupled with the harmonized calibration scan, the proposed package offers a practical tool for multi-site, multi-vendor neuroimaging studies in both adult and pediatric populations.
