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Effective bidirectional scanning pattern for optical coherence tomography angiography.

Myeong Jin Ju1, Morgan Heisler1, Arman Athwal1

  • 1Simon Fraser University, Department of Engineering Science, 8888 University Drive, Burnaby, British Columbia V5A 1S6, Canada.

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|May 16, 2018
PubMed
Summary
This summary is machine-generated.

A new stepped bidirectional scanning method improves optical coherence tomography angiography (OCTA) imaging by reducing distortion. This novel approach enhances retinal imaging quality in both healthy individuals and those with diabetic retinopathy.

Keywords:
(170.4460) Ophthalmic optics and devices(170.4470) Ophthalmology(170.4500) Optical coherence tomography

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Area of Science:

  • Ophthalmology
  • Medical Imaging
  • Biomedical Engineering

Background:

  • Optical coherence tomography angiography (OCTA) is crucial for retinal imaging.
  • Current raster scanning methods can introduce distortions, especially with increasing sweep rates.
  • Galvanometer-based scanners contribute to image artifacts in OCTA.

Purpose of the Study:

  • To introduce and validate a novel stepped bidirectional scanning method for OCTA.
  • To address and mitigate contrast variations and distortions in OCTA imaging.
  • To assess the utility of the new method in retinal imaging of normal and pathological subjects.

Main Methods:

  • Development of a stepped bidirectional scanning technique for OCTA.
  • Comparison with traditional unidirectional raster scanning approaches.
  • Application of the method to retinal imaging in human subjects, including those with diabetic retinopathy.

Main Results:

  • The stepped bidirectional approach effectively reduces distortions common in OCTA.
  • Contrast variations observed in strictly bidirectional scans are minimized.
  • Successful application demonstrated in both normal and diabetic retinopathy retinal imaging.

Conclusions:

  • The novel stepped bidirectional scanning method offers improved OCTA image quality.
  • This technique is a viable advancement for reducing artifacts in retinal angiography.
  • The method shows promise for enhanced diagnosis and monitoring of retinal diseases like diabetic retinopathy.