TY - JOUR TI - 改善强度为基础的CT肺配准精度利用血管信息VL - 2012 PY - 2012 DA - 2012年11月28日DO - 10.1155 /二十八万五千一百三十六分之二千○十二UR - https://doi.org/10.1155/2012/285136 AB - 精确肺图像配准是一个具有挑战性的问题，当肺部有大距离的变形。在这项工作中，我们提出了一种非刚性的体积配准算法以跟踪一对在不同的充气水平获取的个体内的CT图像之间肺运动并引入改善仅强度的配准新血管性相似性成本。来自六个人类受试者的容积CT数据在本研究中使用。四只强度的配准算法的性能与不加入血管性相似性的成本函数进行比较。使用地标，血管树，裂隙面的匹配精度进行了评价。使用了变换的雅可比行列式，揭示本地实质组织的变形模式。The average matching error for intensity-only registration methods was on the order of 1 mm at landmarks and 1.5 mm on fissure planes. After adding the vesselness preserving cost function, the landmark and fissure positioning errors decreased approximately by 25% and 30%, respectively. The vesselness cost function effectively helped improve the registration accuracy in regions near thoracic cage and near the diaphragm for all the intensity-only registration algorithms tested and also helped produce more consistent and more reliable patterns of regional tissue deformation. JF - International Journal of Biomedical Imaging SN - 1687-4188 PB - Hindawi Publishing Corporation SP - 285136 KW - A2 - El-Baz, Ayman AU - Cao, Kunlin AU - Ding, Kai AU - Reinhardt, Joseph M. AU - Christensen, Gary E. ER -