In this paper, we first propose the use of Optical Coherence Tomography (OCT) imaging for the problem of iris presentation attack (PA) detection. Secondly, we assess its viability by comparing its performance with respect to traditional modalities, viz., near-infrared (NIR) and visible spectrum. OCT imaging provides a cross-sectional view of an eye, whereas NIR and visible spectrum imaging provide 2D iris textural information. Implementation is performed using three state-of-the-art deep architectures (VGG19, ResNet50 and DenseNet121) to differentiate between bonafide and PA samples for each of the three imaging modalities. Experiments are performed on a dataset of 2,169 bonafide, 177 Van Dyke eyes and 360 cosmetic contact images acquired using all three imaging modalities under intra-attack (known PAs) and cross-attack (unknown PAs) scenario. We observe promising results demonstrating OCT as a viable solution for iris PA detection.