IEEE Trans Med Imaging. 2018 Mar;37(3):693-702. doi: 10.1109/TMI.2017.2769640.
The purpose of this paper was to extend the extended cardiac-torso (XCAT) series of computational phantoms to include a detailed lung architecture including airways and pulmonary vasculature. Eleven XCAT phantoms of varying anatomy were used in this paper. The lung lobes and initial branches of the airways, pulmonary arteries, and veins were previously defined in each XCAT model. These models were extended from the initial branches of the airways and vessels to the level of terminal branches using an anatomically-based volume-filling branching algorithm. This algorithm grew the airway and vasculature branches separately and iteratively without intersecting each other using cylindrical models with diameters estimated by order-based anatomical measurements. Geometrical features of the extended branches were compared with the literature anatomy values to quantitatively evaluate the models. These features include branching angle, length to diameter ratio, daughter to parent diameter ratio, asymmetrical branching pattern, diameter, and length ratios. The XCAT phantoms were then used to simulate CT images to qualitatively compare them with the original phantom images. The proposed growth model produced 46369 ± 12521 airways, 44737 ± 11773 arteries, and 39819 ± 9988 veins to the XCAT phantoms. Furthermore, the growth model was shown to produce asymmetrical airway, artery, and vein networks with geometrical attributes close to morphometry and model based studies. The simulated CT images of the phantoms were judged to be more realistic, including more airways and pulmonary vessels compared with the original phantoms. Future work will seek to add a heterogeneous parenchymal background into the XCAT lungs to make the phantoms even more representative of human anatomy, paving the way towards the use of XCAT models as a tool to virtually evaluate the current and emerging medical imaging technologies.
本文旨在扩展扩展心脏-胸腔 (XCAT) 系列计算体模,以包含详细的肺部结构,包括气道和肺血管。本文使用了 11 个具有不同解剖结构的 XCAT 体模。在每个 XCAT 模型中,已经定义了肺叶和气道的初始分支、肺动脉和静脉。使用基于解剖学的体积填充分支算法,将这些模型从气道和血管的初始分支扩展到终末分支。该算法使用基于顺序的解剖学测量估计直径的圆柱形模型,分别且迭代地生长气道和血管分支,而不相互交叉。扩展分支的几何特征与文献解剖值进行比较,以定量评估模型。这些特征包括分支角、长度与直径比、子分支与母分支直径比、不对称分支模式、直径和长度比。然后,使用 XCAT 体模模拟 CT 图像,定性地将其与原始体模图像进行比较。所提出的生长模型产生了 46369±12521 条气道、44737±11773 条动脉和 39819±9988 条静脉到 XCAT 体模。此外,生长模型产生了具有接近形态学和基于模型研究的几何属性的不对称气道、动脉和静脉网络。与原始体模相比,体模的模拟 CT 图像被判断为更逼真,包括更多的气道和肺血管。未来的工作将寻求在 XCAT 肺部中添加异质实质背景,以使体模更能代表人体解剖结构,为使用 XCAT 模型作为虚拟评估当前和新兴医学成像技术的工具铺平道路。