Morariu Cosmin Adrian, Terheiden Tobias, Dohle Daniel Sebastian, Tsagakis Konstantinos, Pauli Josef
Intelligent Systems, Faculty of Engineering, University of Duisburg-Essen, 47057, Duisburg, Germany.
Department of Thoracic and Cardiovascular Surgery, University Clinic Essen, Essen, Germany.
Int J Comput Assist Radiol Surg. 2016 Feb;11(2):243-52. doi: 10.1007/s11548-015-1283-1. Epub 2015 Aug 29.
Our goal is to provide precise measurements of the aortic dimensions in case of dissection pathologies. Quantification of surface lengths and aortic radii/diameters together with the visualization of the dissection membrane represents crucial prerequisites for enabling minimally invasive treatment of type A dissections, which always also imply the ascending aorta.
We seek a measure invariant to luminance and contrast for aortic outer wall segmentation. Therefore, we propose a 2D graph-based approach using phase congruency combined with additional features. Phase congruency is extended to 3D by designing a novel conic directional filter and adding a lowpass component to the 3D Log-Gabor filterbank for extracting the fine dissection membrane, which separates the true lumen from the false one within the aorta.
The result of the outer wall segmentation is compared with manually annotated axial slices belonging to 11 CTA datasets. Quantitative assessment of our novel 2D/3D membrane extraction algorithms has been obtained for 10 datasets and reveals subvoxel accuracy in all cases. Aortic inner and outer surface lengths, determined within 2 cadaveric CT datasets, are validated against manual measurements performed by a vascular surgeon on excised aortas of the body donors.
This contribution proposes a complete pipeline for segmentation and quantification of aortic dissections. Validation against ground truth of the 3D contour lengths quantification represents a significant step toward custom-designed stent-grafts.
我们的目标是在主动脉夹层病变情况下提供精确的主动脉尺寸测量。量化表面长度和主动脉半径/直径，以及可视化夹层膜，是实现A型夹层微创治疗的关键前提条件，而A型夹层总是涉及升主动脉。
我们寻求一种对亮度和对比度不变的测量方法用于主动脉外壁分割。因此，我们提出一种基于二维图形的方法，将相位一致性与其他特征相结合。通过设计一种新颖的圆锥方向滤波器并在三维对数-伽柏滤波器组中添加低通分量，将相位一致性扩展到三维，以提取精细的夹层膜，该膜在主动脉内将真腔与假腔分隔开。
将外壁分割结果与属于11个CTA数据集的手动标注轴向切片进行比较。对10个数据集进行了我们新颖的二维/三维膜提取算法的定量评估，结果显示在所有情况下均具有亚体素精度。在2个尸体CT数据集中确定的主动脉内、外表面长度，与血管外科医生对尸体供体切除主动脉进行的手动测量结果进行了验证。
本研究提出了一个完整的主动脉夹层分割和量化流程。针对三维轮廓长度量化的真实情况进行验证，是朝着定制设计的支架型人工血管迈出的重要一步。
