Chen Shuo-Tsung, Hung Pei-Kai, Lin Muh-Shi, Huang Chao-Yu, Chen Chung-Ming, Wang Tzung-Dau, Lee Wen-Jeng
Institute of Biomedical Engineering, National Taiwan University, Taipei, 10617, Taiwan, Republic of China,
J Med Syst. 2014 Jun;38(6):55. doi: 10.1007/s10916-014-0055-8. Epub 2014 May 9.
This work presents a new method for segmenting coronary arteries automatically in computed tomography angiography (CTA) data sets. The method automatically isolates heart and coronary arteries from surrounding structures and search for the probable location of coronary arteries by 3D region growing. Based on the dilation of the probable location, discrete wavelet transformation (DWT) and λ - mean operation complete accurate detection of coronary arties. Finally, the proposed method is tested on clinical CTA data-sets. The results on clinical datasets show that the proposed method is able to extract each branch of arteries when comparing to commercial software GE Healthcare and delineated ground truth.
这项工作提出了一种在计算机断层扫描血管造影（CTA）数据集中自动分割冠状动脉的新方法。该方法自动将心脏和冠状动脉与周围结构分离，并通过三维区域生长搜索冠状动脉的可能位置。基于可能位置的扩张，离散小波变换（DWT）和λ均值运算完成对冠状动脉的精确检测。最后，在临床CTA数据集上对所提出的方法进行了测试。临床数据集的结果表明，与商业软件GE Healthcare和划定的地面真值相比，该方法能够提取出每条动脉分支。
