Intraframe motion correction for raster-scanned adaptive optics images using strip-based cross-correlation lag biases

Mehdi Azimipour, Robert Zawadzki, Iwona Gorczynska, Justin Migacz, John S Werner, Ravi Jonnal

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

In retinal raster imaging modalities, fixational eye movements manifest as image warp, where the relative positions of the beam and retina change during the acquisition of single frames. To remove warp artifacts, strip-based registration methods–in which fast-axis strips from target images are registered to a reference frame–have been applied in adaptive optics (AO) scanning light ophthalmoscopy (SLO) and optical coherence tomography (OCT). This approach has enabled object tracking and frame averaging, and methods have been described to automatically select reference frames with minimal motion. However, inconspicuous motion artifacts may persist in reference frames and propagate themselves throughout the processes of registration, tracking, and averaging. Here we test a previously proposed method for removing movement artifacts in reference frames, using biases in stripwise cross-correlation statistics. We applied the method to synthetic retinal images with simulated eye motion artifacts as well as real AO-SLO images of the cone mosaic and volumetric AO-OCT images, both affected by eye motion. In the case of synthetic images, the method was validated by direct comparison with motion-free versions of the images. In the case of real AO images, performance was validated by comparing the correlation of uncorrected images with that of corrected images, by quantifying the effect of motion artifacts on the image power spectra, and by qualitative examination of AO-OCT B-scans and en face projections. In all cases, the proposed method reduced motion artifacts and produced more faithful images of the retina.

Original languageEnglish (US)
Article numbere0206052
JournalPLoS One
Volume13
Issue number10
DOIs
StatePublished - Oct 1 2018

Fingerprint

Adaptive optics
optics
Artifacts
Optical tomography
tomography
Optical Coherence Tomography
eyes
retina
Ophthalmoscopy
Scanning
methodology
Retina
Eye movements
cones (retina)
Power spectrum
Light
Cones
statistics
Eye Movements
Statistics

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Agricultural and Biological Sciences(all)

Cite this

Intraframe motion correction for raster-scanned adaptive optics images using strip-based cross-correlation lag biases. / Azimipour, Mehdi; Zawadzki, Robert; Gorczynska, Iwona; Migacz, Justin; Werner, John S; Jonnal, Ravi.

In: PLoS One, Vol. 13, No. 10, e0206052, 01.10.2018.

Research output: Contribution to journalArticle

@article{e630aa4d4bbc43a4876863c9e552f06f,
title = "Intraframe motion correction for raster-scanned adaptive optics images using strip-based cross-correlation lag biases",
abstract = "In retinal raster imaging modalities, fixational eye movements manifest as image warp, where the relative positions of the beam and retina change during the acquisition of single frames. To remove warp artifacts, strip-based registration methods–in which fast-axis strips from target images are registered to a reference frame–have been applied in adaptive optics (AO) scanning light ophthalmoscopy (SLO) and optical coherence tomography (OCT). This approach has enabled object tracking and frame averaging, and methods have been described to automatically select reference frames with minimal motion. However, inconspicuous motion artifacts may persist in reference frames and propagate themselves throughout the processes of registration, tracking, and averaging. Here we test a previously proposed method for removing movement artifacts in reference frames, using biases in stripwise cross-correlation statistics. We applied the method to synthetic retinal images with simulated eye motion artifacts as well as real AO-SLO images of the cone mosaic and volumetric AO-OCT images, both affected by eye motion. In the case of synthetic images, the method was validated by direct comparison with motion-free versions of the images. In the case of real AO images, performance was validated by comparing the correlation of uncorrected images with that of corrected images, by quantifying the effect of motion artifacts on the image power spectra, and by qualitative examination of AO-OCT B-scans and en face projections. In all cases, the proposed method reduced motion artifacts and produced more faithful images of the retina.",
author = "Mehdi Azimipour and Robert Zawadzki and Iwona Gorczynska and Justin Migacz and Werner, {John S} and Ravi Jonnal",
year = "2018",
month = "10",
day = "1",
doi = "10.1371/journal.pone.0206052",
language = "English (US)",
volume = "13",
journal = "PLoS One",
issn = "1932-6203",
publisher = "Public Library of Science",
number = "10",

}

TY - JOUR

T1 - Intraframe motion correction for raster-scanned adaptive optics images using strip-based cross-correlation lag biases

AU - Azimipour, Mehdi

AU - Zawadzki, Robert

AU - Gorczynska, Iwona

AU - Migacz, Justin

AU - Werner, John S

AU - Jonnal, Ravi

PY - 2018/10/1

Y1 - 2018/10/1

N2 - In retinal raster imaging modalities, fixational eye movements manifest as image warp, where the relative positions of the beam and retina change during the acquisition of single frames. To remove warp artifacts, strip-based registration methods–in which fast-axis strips from target images are registered to a reference frame–have been applied in adaptive optics (AO) scanning light ophthalmoscopy (SLO) and optical coherence tomography (OCT). This approach has enabled object tracking and frame averaging, and methods have been described to automatically select reference frames with minimal motion. However, inconspicuous motion artifacts may persist in reference frames and propagate themselves throughout the processes of registration, tracking, and averaging. Here we test a previously proposed method for removing movement artifacts in reference frames, using biases in stripwise cross-correlation statistics. We applied the method to synthetic retinal images with simulated eye motion artifacts as well as real AO-SLO images of the cone mosaic and volumetric AO-OCT images, both affected by eye motion. In the case of synthetic images, the method was validated by direct comparison with motion-free versions of the images. In the case of real AO images, performance was validated by comparing the correlation of uncorrected images with that of corrected images, by quantifying the effect of motion artifacts on the image power spectra, and by qualitative examination of AO-OCT B-scans and en face projections. In all cases, the proposed method reduced motion artifacts and produced more faithful images of the retina.

AB - In retinal raster imaging modalities, fixational eye movements manifest as image warp, where the relative positions of the beam and retina change during the acquisition of single frames. To remove warp artifacts, strip-based registration methods–in which fast-axis strips from target images are registered to a reference frame–have been applied in adaptive optics (AO) scanning light ophthalmoscopy (SLO) and optical coherence tomography (OCT). This approach has enabled object tracking and frame averaging, and methods have been described to automatically select reference frames with minimal motion. However, inconspicuous motion artifacts may persist in reference frames and propagate themselves throughout the processes of registration, tracking, and averaging. Here we test a previously proposed method for removing movement artifacts in reference frames, using biases in stripwise cross-correlation statistics. We applied the method to synthetic retinal images with simulated eye motion artifacts as well as real AO-SLO images of the cone mosaic and volumetric AO-OCT images, both affected by eye motion. In the case of synthetic images, the method was validated by direct comparison with motion-free versions of the images. In the case of real AO images, performance was validated by comparing the correlation of uncorrected images with that of corrected images, by quantifying the effect of motion artifacts on the image power spectra, and by qualitative examination of AO-OCT B-scans and en face projections. In all cases, the proposed method reduced motion artifacts and produced more faithful images of the retina.

UR - http://www.scopus.com/inward/record.url?scp=85055485877&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85055485877&partnerID=8YFLogxK

U2 - 10.1371/journal.pone.0206052

DO - 10.1371/journal.pone.0206052

M3 - Article

C2 - 30359401

AN - SCOPUS:85055485877

VL - 13

JO - PLoS One

JF - PLoS One

SN - 1932-6203

IS - 10

M1 - e0206052

ER -