Zusammenfassung
Optical coherence tomography angiography (OCTA) is a clinically promising modality to image retinal vasculature. For this end, optical coherence tomography (OCT) volumes are repeatedly scanned and intensity changes over time are used to compute OCTA images. Because of patient movement and variations in blood ow, OCTA data are prone to noise.
Chapter PDF
Similar content being viewed by others
References
Husvogt L, Ploner SB, Chen S, et al. Maximum a-posteriori signal recovery for optical coherence tomography angiography image generation and denoising. Biomed Opt Express. 2021;12(1):55–68.
Ploner SB, Riess C, Schottenhamml J, et al. A joint probabilistic model for speckle variance, amplitude decorrelation and interframe variance (IFV) optical coherence tomography angiography. Proc BVM. 2018; p. 98–102.
Ploner SB, Kraus MF, Moult EM, et al. Efficient and high accuracy 3-D OCT angiography motion correction in pathology. Biomed Opt Express. 2021 Jan;12(1):125–146.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Der/die Autor(en), exklusiv lizenziert durch Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature
About this paper
Cite this paper
Husvogt, L. et al. (2021). Abstract: Maximum A-posteriori Signal Recovery for OCT Angiography Image Generation. In: Palm, C., Deserno, T.M., Handels, H., Maier, A., Maier-Hein, K., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2021. Informatik aktuell. Springer Vieweg, Wiesbaden. https://doi.org/10.1007/978-3-658-33198-6_61
Download citation
DOI: https://doi.org/10.1007/978-3-658-33198-6_61
Published:
Publisher Name: Springer Vieweg, Wiesbaden
Print ISBN: 978-3-658-33197-9
Online ISBN: 978-3-658-33198-6
eBook Packages: Computer Science and Engineering (German Language)