Poveda Ferran, Gil Debora, Martí Enric, Andaluz Albert, Ballester Manel, Carreras Francesc
Departamento de Ciencias de la Computación, Universitat Autònoma de Barcelona, Bellaterra, Barcelona, Spain.
Departamento de Ciencias de la Computación, Universitat Autònoma de Barcelona, Bellaterra, Barcelona, Spain; Centro de Visión por Computador, Universitat Autònoma de Barcelona, Bellaterra, Barcelona, Spain.
Rev Esp Cardiol (Engl Ed). 2013 Oct;66(10):782-90. doi: 10.1016/j.rec.2013.04.021. Epub 2013 Jul 25.
Deeper understanding of the myocardial structure linking the morphology and function of the heart would unravel crucial knowledge for medical and surgical clinical procedures and studies. Several conceptual models of myocardial fiber organization have been proposed but the lack of an automatic and objective methodology prevented an agreement. We sought to deepen this knowledge through advanced computer graphical representations of the myocardial fiber architecture by diffusion tensor magnetic resonance imaging.
We performed automatic tractography reconstruction of unsegmented diffusion tensor magnetic resonance imaging datasets of canine heart from the public database of the Johns Hopkins University. Full-scale tractographies have been built with 200 seeds and are composed by streamlines computed on the vector field of primary eigenvectors at the diffusion tensor volumes. We also introduced a novel multiscale visualization technique in order to obtain a simplified tractography. This methodology retains the main geometric features of the fiber tracts, making it easier to decipher the main properties of the architectural organization of the heart.
Output analysis of our tractographic representations showed exact correlation with low-level details of myocardial architecture, but also with the more abstract conceptualization of a continuous helical ventricular myocardial fiber array.
Objective analysis of myocardial architecture by an automated method, including the entire myocardium and using several 3-dimensional levels of complexity, reveals a continuous helical myocardial fiber arrangement of both right and left ventricles, supporting the anatomical model of the helical ventricular myocardial band described by F. Torrent-Guasp.
更深入地了解将心脏形态与功能联系起来的心肌结构,将为医学和外科临床程序及研究揭示关键知识。已经提出了几种心肌纤维组织的概念模型,但由于缺乏自动且客观的方法,尚未达成共识。我们试图通过扩散张量磁共振成像对心肌纤维结构进行先进的计算机图形表示来深化这方面的知识。
我们对约翰霍普金斯大学公共数据库中犬类心脏的未分割扩散张量磁共振成像数据集进行了自动纤维束成像重建。使用200个种子点构建了全尺寸纤维束成像,其由在扩散张量体积处的主特征向量矢量场上计算的流线组成。我们还引入了一种新颖的多尺度可视化技术,以获得简化的纤维束成像。这种方法保留了纤维束的主要几何特征,使其更容易解读心脏结构组织的主要特性。
我们纤维束成像表示的输出分析显示,其与心肌结构的低层次细节精确相关,而且与连续螺旋状心室心肌纤维阵列的更抽象概念化也精确相关。
通过一种自动方法对心肌结构进行客观分析,包括整个心肌并使用几个三维复杂层次,揭示了左右心室连续的螺旋状心肌纤维排列,支持了F. Torrent-Guasp所描述的螺旋状心室心肌带的解剖模型。