QuaSI: Quantile Sparse Image Prior for Spatio-Temporal Denoising of Retinal OCT Data

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Schirrmacher F, Köhler T, Husvogt L, Fujimoto JG, Hornegger J, Maier A
Title edited volumes: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Publisher: Springer Verlag
Publication year: 2017
Volume: 10434 LNCS
Conference Proceedings Title: Medical Image Computing and Computer-Assisted Intervention - MICCAI 2017, Proceedings, Part II
Pages range: 83-91
ISBN: 9783319661841
ISSN: 1611-3349


Abstract

Optical coherence tomography (OCT) enables high-resolution and non-invasive 3D imaging of the human retina but is inherently impaired by speckle noise. This paper introduces a spatio-temporal denoising algorithm for OCT data on a B-scan level using a novel quantile sparse image (QuaSI) prior. To remove speckle noise while preserving image structures of diagnostic relevance, we implement our QuaSI prior via median filter regularization coupled with a Huber data fidelity model in a variational approach. For efficient energy minimization, we develop an alternating direction method of multipliers (ADMM) scheme using a linearization of median filtering. Our spatio-temporal method can handle both, denoising of single B-scans and temporally consecutive B-scans, to gain volumetric OCT data with enhanced signal-to-noise ratio. Our algorithm based on 4 B-scans only achieved comparable performance to averaging 13 B-scans and outperformed other current denoising methods.


FAU Authors / FAU Editors

Hornegger, Joachim Prof. Dr.-Ing.
Lehrstuhl für Informatik 5 (Mustererkennung)
Husvogt, Lennart
Lehrstuhl für Informatik 5 (Mustererkennung)
Köhler, Thomas
Lehrstuhl für Informatik 5 (Mustererkennung)
Maier, Andreas Prof. Dr.-Ing.
Lehrstuhl für Informatik 5 (Mustererkennung)
Schirrmacher, Franziska
Lehrstuhl für Informatik 5 (Mustererkennung)


External institutions with authors

Massachusetts Institute of Technology (MIT)


How to cite

APA:
Schirrmacher, F., Köhler, T., Husvogt, L., Fujimoto, J.G., Hornegger, J., & Maier, A. (2017). QuaSI: Quantile Sparse Image Prior for Spatio-Temporal Denoising of Retinal OCT Data. In Medical Image Computing and Computer-Assisted Intervention - MICCAI 2017, Proceedings, Part II (pp. 83-91). Quebec City, QC, Canada: Springer Verlag.

MLA:
Schirrmacher, Franziska, et al. "QuaSI: Quantile Sparse Image Prior for Spatio-Temporal Denoising of Retinal OCT Data." Proceedings of the Medical Image Computing and Computer-Assisted Intervention, Quebec City, QC, Canada Springer Verlag, 2017. 83-91.

BibTeX: 

Last updated on 2019-23-06 at 07:11