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 limited penetration depth. Existing interpolation and surface fitting methods prove insufficient to accurately fill the gaps between the irregularlyspaced and sometimes unreliably identified visible segments of the vessel outer border. This paper describes an intuitive, efficient, and flexible new method of three dimensional 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 fullyautomated 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 to human annotations: areas differed by just 11±11% (0.93±0.84 mm 2), with a coefficient of determination of 0.89. Overlapping and nonoverlapping area ratios were 0.91 and 0.18, respectively, with sensitivity of 90.8 and specificity of 99.0. This spring mesh method of contour fitting significantly outperformed all alternative surface fitting and interpolation