Palágyi Kálmán, Tschirren Juerg, Sonka Milan
Dept of Electrical and Computer Engineering, The University of Iowa, Iowa City, IA 52242-1595, USA.
Inf Process Med Imaging. 2003 Jul;18:222-33. doi: 10.1007/978-3-540-45087-0_19.
A method for quantitative assessment of tree structures is reported allowing evaluation of airway or vascular tree morphology and its associated function. Our skeletonization and branch-point identification method provides a basis for tree quantification or tree matching, tree-branch diameter measurement in any orientation, and labeling individual branch segments. All main components of our method were specifically developed to deal with imaging artifacts typically present in volumetric medical image data. The proposed method has been tested in 343 computer phantom instances subjected to changes of its orientation as well as in a repeatedly CT-scanned rubber plastic phantom width sub-voxel accuracy and high reproducibility. Application to 35 human in vivo trees yielded reliable and well-positioned centerlines and branch-points.
报道了一种用于树状结构定量评估的方法,该方法可对气道或血管树形态及其相关功能进行评估。我们的骨架化和分支点识别方法为树状结构的量化或匹配、任意方向的树枝直径测量以及单个分支段的标记提供了基础。我们方法的所有主要组件都是专门为处理体积医学图像数据中典型存在的成像伪影而开发的。所提出的方法已在343个计算机体模实例中进行了测试,这些实例的方向发生了变化,同时也在一个反复CT扫描的橡胶塑料体模中进行了测试,具有亚体素精度和高再现性。应用于35个活体人体树状结构时,可产生可靠且定位良好的中心线和分支点。