Komninos, C;
Pissas, T;
Flores, B;
Bloch, E;
Vercauteren, T;
Ourselin, S;
Cruz, LD;
(2022)
Intra-operative OCT (iOCT) Super Resolution: A Two-Stage Methodology Leveraging High Quality Pre-operative OCT Scans.
In: Antony, B and Fu, H and Lee, CS and MacGillivray, T and Xu, Y and Zheng, Y, (eds.)
International Workshop on Ophthalmic Medical Image Analysis OMIA 2022: Ophthalmic Medical Image Analysis.
(pp. pp. 105-114).
Springer, Cham
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Abstract
Regenerative therapies have recently shown potential in restoring sight lost due to degenerative diseases. Their efficacy requires precise intra-retinal delivery, which can be achieved by robotic systems accompanied by high quality visualization of retinal layers. Intra-operative Optical Coherence Tomography (iOCT) captures cross-sectional retinal images in real-time but with image quality that is inadequate for intra-retinal therapy delivery. This paper proposes a two-stage super-resolution methodology that enhances the image quality of the low resolution (LR) iOCT images leveraging information from pre-operatively acquired high-resolution (HR) OCT (preOCT) images. First, we learn the degradation process from HR to LR domain through CycleGAN and use it to generate pseudo iOCT (LR) images from the HR preOCT ones. Then, we train a Pix2Pix model on the pairs of pseudo iOCT and preOCT to learn the super-resolution mapping. Quantitative analysis using both full-reference and no-reference image quality metrics demonstrates that our approach clearly outperforms the learning-based state-of-the art techniques with statistical significance. Achieving iOCT image quality comparable to preOCT quality can help this medical imaging modality be established in vitreoretinal surgery, without requiring expensive hardware-related system updates.
| Type: | Proceedings paper |
|---|---|
| Title: | Intra-operative OCT (iOCT) Super Resolution: A Two-Stage Methodology Leveraging High Quality Pre-operative OCT Scans |
| Event: | Ophthalmic Medical Image Analysis 9th International Workshop, OMIA 2022, Held in Conjunction with MICCAI 2022 |
| Location: | Singapore, SINGAPORE |
| Dates: | 22 Sep 2022 |
| ISBN-13: | 9783031165245 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1007/978-3-031-16525-2_11 |
| Publisher version: | https://doi.org/10.1007/978-3-031-16525-2_11 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Science & Technology, Life Sciences & Biomedicine, Ophthalmology, Radiology, Nuclear Medicine & Medical Imaging, Image quality, Super-resolution, iOCT |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Institute of Ophthalmology UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10163972 |
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