基于dti的纤维束状图:为什么不呢?

IF 2.7 3区 医学 Q1 ANATOMY & MORPHOLOGY
Dogu Baran Aydogan, Alexander Leemans, Jessica Dubois, Flavio Dell'Acqua, Chiara Maffei
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引用次数: 0

摘要

弥散张量成像(DTI)是实现脑白质结构无创探测的基础。然而,由于已知的张量模型在捕获复杂纤维结构方面的局限性,DTI用于纤维束成像仍然具有挑战性。这篇简短的通讯总结了在2024年Tract-Anat静修会上举行的一场辩论的要点,这场辩论是由一项挑衅性的声明引发的:“使用DTI进行牵引造影是永远不可接受的”。虽然我们确定了向更先进的定向模型移动的优势,可以提供更完整和准确的白质通路重建,但我们也强调了基于dti的神经束造影在临床环境中或在研究更简单的纤维结构时可以做出的宝贵贡献。这些观点强调了在评估是否可以接受使用张量模型进行牵引造影时具体应用的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DTI-based fiber tractography: why not?

Diffusion tensor imaging (DTI) has been fundamental in enabling the noninvasive exploration of the brain white matter architecture. However, the use of DTI for tractography remains challenging due to the known limitations of the tensor model in capturing complex fiber configurations. This short communication summarizes the key points of a debate held at the 2024 Tract-Anat Retreat sparked by the provocative statement: "it is never acceptable to use DTI for tractography". While we identified the advantages of moving towards more advanced orientation models that can provide more complete and accurate reconstructions of white matter pathways, we also highlighted the valuable contribution DTI-based tractography can make in clinical contexts, or when investigating simpler fiber architectures. These perspectives underscore the importance of the specific application when evaluating whether it is acceptable or not to use the tensor model for tractography.

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来源期刊
Brain Structure & Function
Brain Structure & Function 医学-解剖学与形态学
CiteScore
6.00
自引率
6.50%
发文量
168
审稿时长
8 months
期刊介绍: Brain Structure & Function publishes research that provides insight into brain structure−function relationships. Studies published here integrate data spanning from molecular, cellular, developmental, and systems architecture to the neuroanatomy of behavior and cognitive functions. Manuscripts with focus on the spinal cord or the peripheral nervous system are not accepted for publication. Manuscripts with focus on diseases, animal models of diseases, or disease-related mechanisms are only considered for publication, if the findings provide novel insight into the organization and mechanisms of normal brain structure and function.
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