Groher Martin, Bender Frederik, Hoffmann Ralf-Thorsten, Navab Nassir
Computer Aided Medical Procedures (CAMP), TUM, Munich, Germany.
Med Image Comput Comput Assist Interv. 2007;10(Pt 2):527-35. doi: 10.1007/978-3-540-75759-7_64.
2D-3D registration of abdominal angiographic data is a difficult problem due to hard time constraints during the intervention, different vessel contrast in volume and image, and motion blur caused by breathing. We propose a novel method for aligning 2D Digitally Subtracted Angiograms (DSA) to Computed Tomography Angiography (CTA) volumes, which requires no user interaction intrainterventionally. In an iterative process, we link 2D segmentation and 2D-3D registration using a probability map, which creates a common feature space where outliers in 2D and 3D are discarded consequently. Unlike other approaches, we keep user interaction low while high capture range and robustness against vessel variability and deformation are maintained. Tests on five patient data sets and a comparison to two recently proposed methods show the good performance of our method.
由于介入过程中时间紧迫、容积与图像中血管对比度不同以及呼吸引起的运动模糊，腹部血管造影数据的二维到三维配准是一个难题。我们提出了一种将二维数字减影血管造影（DSA）与计算机断层血管造影（CTA）容积进行对齐的新方法，该方法在介入过程中无需用户交互。在一个迭代过程中，我们使用概率图将二维分割与二维到三维配准联系起来，概率图创建了一个公共特征空间，二维和三维中的异常值会因此被舍弃。与其他方法不同，我们在保持高捕获范围以及对血管变异性和变形具有鲁棒性的同时，尽量减少用户交互。对五个患者数据集的测试以及与最近提出的两种方法的比较表明了我们方法的良好性能。
