Bach Michael, Fritzsche Klaus H, Stieltjes Bram, Laun Frederik B
Quantitative Imaging-based Disease Characterization, German Cancer Research Center, Heidelberg, Germany; Department of Medical Physics in Radiology, German Cancer Research Center, Heidelberg, Germany.
Magn Reson Med. 2014 Mar;71(3):1108-16. doi: 10.1002/mrm.24774.
The clinical potential of the diffusion imaging-based analysis of fine brain structures such as fornix or cingulum is high due to the central role of these structures in psychiatric diseases. However, the quantification of diffusion parameters in fine structures is especially prone to partial volume effects (PVEs).
In this study, a phantom for the investigation of PVEs and their influence on diffusion parameters in fine structures of different diameter is presented. The phantom is produced by winding wet polyester fibers onto a spindle. The resulting fiber strands have well defined square cross-sections of 1-25 mm(2) and provide a homogeneous and high fractional anisotropy (FA ≈ 0.9).
Several PVEs are demonstrated and analyzed. It is shown that inferred results such as the fiber geometry and diffusion parameters strongly depend on the relative position of the structure of interest to the voxel-grid. Several implications of PVEs on post-processing methods such as Tract-based Spatial Statistics and fiber tractography are demonstrated.
These results show that the handling of PVEs in common post-processing tasks can be problematic, and that the presented phantom provides a valuable tool for the improvement and evaluation of these effects.
由于穹窿或扣带回等精细脑结构在精神疾病中起核心作用,基于扩散成像对这些结构进行分析具有很高的临床潜力。然而,精细结构中扩散参数的量化特别容易受到部分容积效应(PVE)的影响。
在本研究中,提出了一种用于研究PVE及其对不同直径精细结构中扩散参数影响的体模。该体模通过将湿聚酯纤维缠绕在纺锤体上制成。所得纤维束具有明确的1 - 25平方毫米的方形横截面,并提供均匀且高分值各向异性(FA≈0.9)。
展示并分析了几种PVE。结果表明,诸如纤维几何形状和扩散参数等推断结果强烈依赖于感兴趣结构相对于体素网格的相对位置。展示了PVE对诸如基于纤维束的空间统计学和纤维束成像等后处理方法的若干影响。
这些结果表明,在常见的后处理任务中处理PVE可能存在问题,并且所呈现的体模为改善和评估这些效应提供了有价值的工具。