Wharton Samuel, Bowtell Richard
Sir Peter Mansfield Magnetic Resonance Centre, School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, United Kingdom.
Magn Reson Med. 2015 Mar;73(3):1258-69. doi: 10.1002/mrm.25189. Epub 2014 Mar 11.
To investigate the effects on quantitative susceptibility mapping (QSM) and susceptibility tensor imaging (STI) of the frequency variation produced by the microstructure of white matter (WM).
The frequency offsets in a WM tissue sample that are not explained by the effect of bulk isotropic or anisotropic magnetic susceptibility, but rather result from the local microstructure, were characterized for the first time. QSM and STI were then applied to simulated frequency maps that were calculated using a digitized whole-brain, WM model formed from anatomical and diffusion tensor imaging data acquired from a volunteer. In this model, the magnitudes of the frequency contributions due to anisotropy and microstructure were derived from the results of the tissue experiments.
The simulations suggest that the frequency contribution of microstructure is much larger than that due to bulk effects of anisotropic magnetic susceptibility. In QSM, the microstructure contribution introduced artificial WM heterogeneity. For the STI processing, the microstructure contribution caused the susceptibility anisotropy to be significantly overestimated.
Microstructure-related phase offsets in WM yield artifacts in the calculated susceptibility maps. If susceptibility mapping is to become a robust MRI technique, further research should be carried out to reduce the confounding effects of microstructure-related frequency contributions.
研究白质(WM)微观结构产生的频率变化对定量磁化率映射(QSM)和磁化率张量成像(STI)的影响。
首次对白质组织样本中不由整体各向同性或各向异性磁化率效应解释,而是由局部微观结构导致的频率偏移进行了表征。然后将QSM和STI应用于模拟频率图,这些频率图是使用从一名志愿者获取的解剖学和扩散张量成像数据形成的数字化全脑白质模型计算得出的。在该模型中,各向异性和微观结构引起的频率贡献大小源自组织实验结果。
模拟结果表明,微观结构的频率贡献远大于各向异性磁化率的整体效应所引起的频率贡献。在QSM中,微观结构贡献引入了人为的白质异质性。对于STI处理,微观结构贡献导致磁化率各向异性被显著高估。
白质中与微观结构相关的相位偏移在计算出的磁化率图中产生伪影。如果磁化率映射要成为一种可靠的MRI技术,应开展进一步研究以减少与微观结构相关的频率贡献的混杂效应。