Merlet Sylvain, Philippe Anne-Charlotte, Deriche Rachid, Descoteaux Maxime
Athena Project-Team, INRIA Sophia Antipolis - Méditerranée, France.
Med Image Comput Comput Assist Interv. 2012;15(Pt 2):339-46. doi: 10.1007/978-3-642-33418-4_42.
It's well known that in diffusion MRI (dMRI), fibre crossing is an important problem for most existing diffusion tensor imaging (DTI) based tractography algorithms. To overcome these limitations, High Angular Resolution Diffusion Imaging (HARDI) based tractography has been proposed with a particular emphasis on the the Orientation Distribution Function (ODF). In this paper, we advocate the use of the Ensemble Average Propagator (EAP) instead of the ODF for tractography in dMRI and propose an original and efficient EAP-based tractography algorithm that outperforms the classical ODF-based tractography, in particular, in the regions that contain complex fibre crossing configurations. Various experimental results including synthetic, phantom and real data illustrate the potential of the approach and clearly show that our method is especially efficient to handle regions where fiber bundles are crossing, and still well handle other fiber bundle configurations such as U-shape and kissing fibers.
众所周知,在扩散磁共振成像(dMRI)中,纤维交叉对于大多数现有的基于扩散张量成像(DTI)的纤维束成像算法来说是一个重要问题。为了克服这些局限性,已经提出了基于高角分辨率扩散成像(HARDI)的纤维束成像方法,特别强调了方向分布函数(ODF)。在本文中,我们主张在dMRI纤维束成像中使用系综平均传播子(EAP)而非ODF,并提出了一种原创且高效的基于EAP的纤维束成像算法,该算法优于传统的基于ODF的纤维束成像算法,特别是在包含复杂纤维交叉结构的区域。包括合成数据、体模数据和真实数据在内的各种实验结果说明了该方法的潜力,并清楚地表明我们的方法在处理纤维束交叉的区域时特别有效,并且仍然能够很好地处理其他纤维束结构,如U形纤维和交叉纤维。