Homotopic, non-local sparse reconstruction of optical coherence tomography imagery

TitleHomotopic, non-local sparse reconstruction of optical coherence tomography imagery
Publication TypeJournal Article
Year of Publication2012
AuthorsLiu, C., A. Wong, K. Bizheva, P. Fieguth, and H. Bie
JournalOptics Express
Date Published05/2012
Type of ArticleJounal

The resolution in optical coherence tomography imaging is an important parameter which determines the size of the smallest features that can be visualized. Sparse sampling approaches have shown considerable promise in producing high resolution OCT images with fewer camera pixels, reducing both the cost and the complexity of an imaging system. In this paper, we propose a non-local approach to the reconstruction of high resolution OCT images from sparsely sampled measurements. An iterative strategy is introduced for minimizing a homotopic, non-local regularized functional in the spatial domain, subject to data fidelity constraints in the k-space domain. The novel algorithm was tested on human retinal, corneal, and limbus images, acquired in-vivo, demonstrating the effectiveness of the proposed approach in generating high resolution reconstructions from a limited number of camera pixels.