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A Hand-held Optical Coherence Tomography Angiography Scanner based on Angiography Reconstruction Transformer Networks
  • +2
  • JINPENG LIAO,
  • Shufan Yang,
  • Tianyu Zhang,
  • Chunhui Li,
  • Zhihong Huang
JINPENG LIAO
University of Dundee
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Shufan Yang
University College London
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Tianyu Zhang
University of Dundee
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Chunhui Li
University of Dundee

Corresponding Author:[email protected]

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Zhihong Huang
University of Dundee
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Abstract

Optical coherence tomography angiography (OCTA) has successfully demonstrated its viability for clinical applications in dermatology. Due to the high optical scattering property of skin, extracting high-quality OCTA images from skin tissues requires at least six-repeated scans. While the motion artifacts from the patient and the free hand-held probe can lead to a low-quality OCTA image. Our deep-learning-based scan pipeline enables fast and high-quality OCTA imaging with 0.3-second data acquisition. We utilize a fast scanning protocol with a 60 µm/pixel spatial interval rate and introduce Angiography-Reconstruction-Transformer (ART) for 4× super-resolution of low transverse resolution OCTA images. The ART outperforms state-of-the-art networks in OCTA image super-resolution and provides a lighter network size. ART can restore microvessels while reducing the processing time by 85%, and maintaining improvements in structural similarity and peak-signal-to-noise ratio. This study represents that ART can achieve fast and flexible skin OCTA imaging while maintaining image quality.
25 Mar 2023Submitted to Journal of Biophotonics
28 Mar 2023Submission Checks Completed
28 Mar 2023Assigned to Editor
28 Mar 2023Review(s) Completed, Editorial Evaluation Pending
28 Mar 2023Reviewer(s) Assigned
10 May 2023Editorial Decision: Revise Major
21 May 20231st Revision Received
21 May 2023Submission Checks Completed
21 May 2023Assigned to Editor
21 May 2023Reviewer(s) Assigned
21 May 2023Review(s) Completed, Editorial Evaluation Pending
24 May 2023Editorial Decision: Accept