Compressed sensing for optical coherence tomography angiography volume generation

Husvogt L, Ploner S, Stromer D, Schottenhamml J, Moult E, Fujimoto JG, Maier A (2020)


Publication Type: Conference contribution

Publication year: 2020

Journal

Publisher: Springer

Pages Range: 82-87

Conference Proceedings Title: Informatik aktuell

Event location: Berlin DE

ISBN: 9783658292669

DOI: 10.1007/978-3-658-29267-6_19

Abstract

Optical coherence tomography angiography (OCTA) is an increasingly popular modality for imaging of the retinal vasculature. Repeated optical coherence tomography (OCT) scans of the retina allow the computation of motion contrast to display the retinal vasculature. To the best of our knowledge, we present the first application of compressed sensing for the generation of OCTA volumes. Using a probabilistic signal model for the computation of OCTA volumes and a 3D median filter, it is possible to perform compressed sensing reconstruction of OCTA volumes while suppressing noise. The presented approach was tested on a ground truth, averaged from ten individual OCTA volumes. Average reductions of the mean squared error of 9:67% were achieved when comparing reconstructed OCTA images to the stand-alone application of a 3D median filter.

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How to cite

APA:

Husvogt, L., Ploner, S., Stromer, D., Schottenhamml, J., Moult, E., Fujimoto, J.G., & Maier, A. (2020). Compressed sensing for optical coherence tomography angiography volume generation. In Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (Eds.), Informatik aktuell (pp. 82-87). Berlin, DE: Springer.

MLA:

Husvogt, Lennart, et al. "Compressed sensing for optical coherence tomography angiography volume generation." Proceedings of the International workshop on Algorithmen - Systeme - Anwendungen, 2020, Berlin Ed. Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm, Springer, 2020. 82-87.

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