Toussaint Nicolas, Sermesant Maxime, Stoeck Christian T, Kozerke Sebastian, Batchelor Philip G
King's College London, Imaging Sciences, London, UK.
Med Image Comput Comput Assist Interv. 2010;13(Pt 1):418-25. doi: 10.1007/978-3-642-15705-9_51.
In vivo imaging of the cardiac 3D fibre architecture is still a challenge, but it would have many clinical applications, for instance to better understand pathologies and to follow up remodelling after therapy. Recently, cardiac MRI enabled the acquisition of Diffusion Tensor images (DTI) of 2D slices. We propose a method for the complete 3D reconstruction of cardiac fibre architecture in the left ventricular myocardium from sparse in vivo DTI slices. This is achieved in two steps. First we map non-linearly the left ventricular geometry to a truncated ellipsoid. Second, we express coordinates and tensor components in Prolate Spheroidal System, where an anisotropic Gaussian kernel regression interpolation is performed. The framework is initially applied to a statistical cardiac DTI atlas in order to estimate the optimal anisotropic bandwidths. Then, it is applied to in vivo beating heart DTI data sparsely acquired on a healthy subject. Resulting in vivo tensor field shows good correlation with literature, especially the elevation (helix) angle transmural variation. To our knowledge, this is the first reconstruction of in vivo human 3D cardiac fibre structure. Such approach opens up possibilities in terms of analysis of the fibre architecture in patients.
心脏三维纤维结构的体内成像仍然是一项挑战，但它具有许多临床应用，例如更好地理解病理状况以及跟踪治疗后的重塑情况。最近，心脏磁共振成像能够获取二维切片的扩散张量图像（DTI）。我们提出了一种从稀疏的体内DTI切片对左心室心肌中的心脏纤维结构进行完整三维重建的方法。这分两步实现。首先，我们将左心室几何形状非线性映射到一个截顶椭球体。其次，我们在长椭球坐标系中表示坐标和张量分量，并在该坐标系中进行各向异性高斯核回归插值。该框架最初应用于一个统计性心脏DTI图谱，以估计最佳各向异性带宽。然后，将其应用于在一名健康受试者身上稀疏采集的体内跳动心脏DTI数据。所得的体内张量场与文献显示出良好的相关性，尤其是跨壁变化的仰角（螺旋角）。据我们所知，这是首次对体内人类三维心脏纤维结构进行重建。这种方法为分析患者的纤维结构开辟了可能性。
