IEEE Trans Med Imaging. 2019 Jun;38(6):1384-1397. doi: 10.1109/TMI.2018.2884142. Epub 2018 Nov 29.
Automated analysis of vascular imaging techniques is limited by the inability to precisely determine arterial borders. Intravascular optical coherence tomography (OCT) offers unprecedented detail of artery wall structure and composition, but does not provide consistent visibility of the outer border of the vessel due to the limited penetration depth. Existing interpolation and surface fitting methods prove insufficient to accurately fill the gaps between the irregularly spaced and sometimes unreliably identified visible segments of the vessel outer border. This paper describes an intuitive, efficient, and flexible new method of 3D surface fitting and smoothing suitable for this task. An anisotropic linear-elastic mesh is fit to irregularly spaced and uncertain data points corresponding to visible segments of vessel borders, enabling the fully automated delineation of the entire inner and outer borders of diseased vessels in OCT images for the first time. In a clinical dataset, the proposed smooth surface fitting approach had great agreement when compared with human annotations: areas differed by just 11 ± 11% (0.93 ± 0.84 mm), with a coefficient of determination of 0.89. Overlapping and non-overlapping area ratios were 0.91 and 0.18, respectively, with a sensitivity of 90.8 and specificity of 99.0. This spring mesh method of contour fitting significantly outperformed all alternative surface fitting and interpolation approaches tested. The application of this promising proposed method is expected to enhance clinical intervention and translational research using OCT.
血管成像技术的自动分析受到无法精确确定动脉边界的限制。血管内光学相干断层扫描(OCT)提供了前所未有的动脉壁结构和组成细节,但由于穿透深度有限,不能始终如一地显示血管的外边界。现有的插值和曲面拟合方法证明不足以准确地填补血管外边界不规则间隔且有时不可靠识别的可见段之间的间隙。本文描述了一种直观、高效、灵活的新的 3D 曲面拟合和光滑方法,适用于该任务。各向异性线性弹性网格适用于对应于血管边界可见段的不规则间隔和不确定数据点,从而首次能够在 OCT 图像中自动描绘出病变血管的整个内边界和外边界。在临床数据集上,与人工注释相比,所提出的平滑曲面拟合方法具有很好的一致性:面积差异仅为 11±11%(0.93±0.84mm),决定系数为 0.89。重叠和非重叠区域比分别为 0.91 和 0.18,灵敏度为 90.8%,特异性为 99.0%。这种用于轮廓拟合的弹性网格方法明显优于所有经过测试的替代曲面拟合和插值方法。预计这种有前景的新方法的应用将增强 OCT 的临床干预和转化研究。