Evaluation of artifact reduction in optical coherence tomography angiography with realtime tracking and motion correction technology

Acner Camino, Miao Zhang, Simon S. Gao, Thomas Hwang, Utkarsh Sharma, David Wilson, David Huang, Jia Yali

Research output: Contribution to journalArticle

42 Scopus citations

Abstract

Artifacts introduced by eye motion in optical coherence tomography angiography (OCTA) affect the interpretation of images and the quantification of parameters with clinical value. Eradication of such artifacts in OCTA remains a technical challenge. We developed an algorithm that recognizes five different types of motion artifacts and used it to evaluate the performance of three motion removal technologies. On en face maximum projection of flow images, the summed flow signal in each row and column and the correlation between neighboring rows and columns were calculated. Bright line artifacts were recognized by large summed flow signal. Drifts, distorted lines, and stretch artifacts exhibited abnormal correlation values. Residual lines were simultaneously a local maximum of summed flow and a local minimum of correlation. Tracking-assisted scanning integrated with motion correction technology (MCT) demonstrated higher performance than tracking or MCT alone in healthy and diabetic eyes.

Original languageEnglish (US)
Article number#270214
Pages (from-to)3905-3915
Number of pages11
JournalBiomedical Optics Express
Volume7
Issue number10
DOIs
Publication statusPublished - Oct 1 2016

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Keywords

  • Image enhancement
  • Motion detection
  • Ophthalmology
  • Optical coherence tomography

ASJC Scopus subject areas

  • Biotechnology
  • Atomic and Molecular Physics, and Optics

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