纤维束成像
利用
计算机科学
领域(数学)
流线、条纹线和路径线
定量评估
磁共振弥散成像
数据科学
主题(文档)
人工智能
定量分析(化学)
风险分析(工程)
数学
工程类
磁共振成像
航空航天工程
图书馆学
放射科
化学
纯数学
医学
色谱法
计算机安全
作者
Robert E. Smith,David Raffelt,Jacques‐Donald Tournier,Alan Connelly
标识
DOI:10.31219/osf.io/c67kn
摘要
Recent developments in semi-global tractogram optimisation algorithms have opened the field of diffusion MRI to the possibility of performing quantitative assessment of structural fibre connectivity. The proper application of these methods in neuroscience research has however been limited by a lack of awareness, understanding, or appreciation for the consequences of these methods; furthermore, particular steps necessary to use these tools in an appropriate manner to fully exploit their quantitative properties have not yet been described. This article therefore serves three purposes: to increase awareness of the fact that there are existing tools that attempt to address the well-known non-quantitative nature of streamlines counts; to illustrate why these algorithms work the way they do to give quantitative results; and to explain how to properly utilise these results for quantitative tractography analysis across subjects.
科研通智能强力驱动
Strongly Powered by AbleSci AI