Beaulieu Christian, Daducci Alessandro, Mayberg Helen, Leemans Alexander
Departments of Radiology and Diagnostic Imaging & Biomedical Engineering, University of Alberta, 3-50D University Terrace, Edmonton, AB, T6G 2T4, Canada.
Department of Computer Science, University of Verona, Verona, Italy.
Brain Struct Funct. 2025 Apr 29;230(4):61. doi: 10.1007/s00429-025-02924-6.
Standardization of diffusion MRI tractography remains a major challenge due to variability in anatomical definitions, subject-specific white matter organization, pathology, acquisition protocols, and tractography methods. This short communication summarizes the key points of a debate on the limitations and opportunities in standardizing tractography across basic research and clinical settings held at the 2024 Tract-Anat Retreat. While full harmonization may be infeasible, there is optimism given the high performance of many current tractography methods, their demonstrated utility in multiple applications, and flexibility for adapting to the previously mentioned variabilities. Ultimately, what will be best will depend on the brain region and application, thereby reflecting the need for multiple dedicated standardized protocols.
由于解剖学定义、个体特异性白质结构、病理学、采集协议和纤维束成像方法的变异性，扩散磁共振成像纤维束成像的标准化仍然是一个重大挑战。本简短通讯总结了在2024年纤维束 - 解剖学研讨会上举行的关于基础研究和临床环境中纤维束成像标准化的局限性和机遇的辩论要点。虽然完全统一可能不可行，但鉴于许多当前纤维束成像方法的高性能、它们在多种应用中已证明的效用以及适应上述变异性的灵活性，人们仍持乐观态度。最终，最佳方案将取决于脑区和应用，从而反映出对多个专用标准化协议的需求。
