QuaSI: Quantile Sparse Image Prior for Spatio-Temporal Denoising of Retinal OCT Data
© Springer International Publishing AG 2017. 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 nove...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Springer International Publishing
2021
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| Online Access: | https://hdl.handle.net/1721.1/137948 |
| _version_ | 1826217484337807360 |
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| author | Schirrmacher, Franziska Köhler, Thomas Husvogt, Lennart Fujimoto, James G. Hornegger, Joachim Maier, Andreas K. |
| author_facet | Schirrmacher, Franziska Köhler, Thomas Husvogt, Lennart Fujimoto, James G. Hornegger, Joachim Maier, Andreas K. |
| author_sort | Schirrmacher, Franziska |
| collection | MIT |
| description | © Springer International Publishing AG 2017. 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. |
| first_indexed | 2024-09-23T17:04:23Z |
| format | Article |
| id | mit-1721.1/137948 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T17:04:23Z |
| publishDate | 2021 |
| publisher | Springer International Publishing |
| record_format | dspace |
| spelling | mit-1721.1/1379482021-11-10T03:01:05Z QuaSI: Quantile Sparse Image Prior for Spatio-Temporal Denoising of Retinal OCT Data Schirrmacher, Franziska Köhler, Thomas Husvogt, Lennart Fujimoto, James G. Hornegger, Joachim Maier, Andreas K. © Springer International Publishing AG 2017. 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. 2021-11-09T16:10:19Z 2021-11-09T16:10:19Z 2017 2019-06-26T15:53:02Z Article http://purl.org/eprint/type/ConferencePaper 0302-9743 1611-3349 https://hdl.handle.net/1721.1/137948 Schirrmacher, Franziska, Köhler, Thomas, Husvogt, Lennart, Fujimoto, James G., Hornegger, Joachim et al. 2017. "QuaSI: Quantile Sparse Image Prior for Spatio-Temporal Denoising of Retinal OCT Data." en 10.1007/978-3-319-66185-8_10 Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Springer International Publishing arXiv |
| spellingShingle | Schirrmacher, Franziska Köhler, Thomas Husvogt, Lennart Fujimoto, James G. Hornegger, Joachim Maier, Andreas K. QuaSI: Quantile Sparse Image Prior for Spatio-Temporal Denoising of Retinal OCT Data |
| title | QuaSI: Quantile Sparse Image Prior for Spatio-Temporal Denoising of Retinal OCT Data |
| title_full | QuaSI: Quantile Sparse Image Prior for Spatio-Temporal Denoising of Retinal OCT Data |
| title_fullStr | QuaSI: Quantile Sparse Image Prior for Spatio-Temporal Denoising of Retinal OCT Data |
| title_full_unstemmed | QuaSI: Quantile Sparse Image Prior for Spatio-Temporal Denoising of Retinal OCT Data |
| title_short | QuaSI: Quantile Sparse Image Prior for Spatio-Temporal Denoising of Retinal OCT Data |
| title_sort | quasi quantile sparse image prior for spatio temporal denoising of retinal oct data |
| url | https://hdl.handle.net/1721.1/137948 |
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