© 2015 Elsevier Ltd. Two novel techniques, photo based reconstruction (photogrammetry) and computed tomography (CT), are used to investigate the formation of an exceptional array of sigmoidal veins in a hand sample from Cape Liptrap, Southern Victoria, and to provide constraint on models for their development. The accuracies of the photogrammetric models were tested by comparison with a laser scan generated three dimensional (3D) model. The photogrammetric model was found to be accurate to at least 0.25mm and substantially more detailed than the laser scan. A methodology was developed by which 3D structural measurements could be extracted from the photogrammetric model. This was augmented with the CT model which, through its capacity to elucidate internal structure, was used to constrain the geometry and linkage of structures within the rock volume. The photogrammetric and CT data were then combined with detailed photomicrographs to evaluate the evolution of the sigmoidal veins in the sample.The angle between the sigmoidal vein margins and an inferred shear zone, as well as the orientations of the crystal fibres, were found to imply a rotation of >27°. However coeval pressure solution seams and older veinlets in the rock bridges between the veins were only found to have rotated by ~10°, an observation not easily explained using existing models for sigmoidal vein formation.A new model is proposed in which a significant component of sigmoidal vein geometry is due to localised dilation caused by slip on the pressure solution seams. The process involves strain partitioning onto pressure solution seams, which leads to exaggeration of sigmoidal vein geometries. If not accounted for, the apparent vein rotation due to slip partitioning introduces errors into calculations of simple shear and volume strain based on sigmoidal arrays of this type. Furthermore, the CT data demonstrated that in 3D the veins are continuous and channel-like, implying a far higher degree of connectivity and fluid transport than is suggested by their 2D form.