Liu Bo, Bai Xiangzhi, Zhou Fugen
Image Processing Center, Beihang University, 37 Xueyuan Road, Beijing, 100191, China.
Image Processing Center, Beihang University, 37 Xueyuan Road, Beijing, 100191, China; State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing 100191, China.
Biomed Opt Express. 2016 Nov 23;7(12):5268-5283. doi: 10.1364/BOE.7.005268. eCollection 2016 Dec 1.
The 3D reconstruction of coronary artery from X-ray angiograms rotationally acquired on C-arm has great clinical value. While cardiac-gated reconstruction has shown promising results, it suffers from the problem of residual motion. This work proposed a new local motion-compensated reconstruction method to handle this issue. An initial image was firstly reconstructed using a regularized iterative reconstruction method. Then a 3D/2D registration method was proposed to estimate the residual vessel motion. Finally, the residual motion was compensated in the final reconstruction using the extended iterative reconstruction method. Through quantitative evaluation, it was found that high-quality 3D reconstruction could be obtained and the result was comparable to state-of-the-art method.
从C形臂旋转采集的X射线血管造影图像中进行冠状动脉的三维重建具有很大的临床价值。虽然心脏门控重建已显示出有前景的结果，但它存在残余运动的问题。这项工作提出了一种新的局部运动补偿重建方法来处理这个问题。首先使用正则化迭代重建方法重建初始图像。然后提出了一种三维/二维配准方法来估计残余血管运动。最后，使用扩展迭代重建方法在最终重建中对残余运动进行补偿。通过定量评估发现，可以获得高质量的三维重建，其结果与现有最先进方法相当。
