Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

High-fidelity super-resolution optical fluctuation imaging via frequency separation correlation.

Optics express·2025
Same author

Physically consistent joint prediction of porosity and shale volume via core-calibrated deep learning in well-consolidated sandstones.

Scientific reports·2025
Same author

Yes-associated protein regulates autophagy to restore skin barrier function in atopic dermatitis.

Frontiers in immunology·2025
Same author

Screening of sinapic acid as a polyphenol stabilizing agent for enhanced miR-124 delivery in ulcerative colitis therapy.

Journal of controlled release : official journal of the Controlled Release Society·2025
Same author

Modification of Zero-valent Iron with Fe-N<sub>4</sub> Coordination Structure Enables Dechlorination of 1,2-Dichloroethane.

Environmental science & technology·2025
Same author

Protein post-translational modifications in sepsis: Molecular mechanisms and biomarkers.

Ageing research reviews·2025

Related Experiment Video

Updated: Nov 17, 2025

In vivo Structural Assessments of Ocular Disease in Rodent Models using Optical Coherence Tomography
07:44

In vivo Structural Assessments of Ocular Disease in Rodent Models using Optical Coherence Tomography

Published on: July 24, 2020

3.2K

Retinal cross-section motion correction in three-dimensional retinal optical coherence tomography.

Nanshou Wu1, Min Yi2, Caizhong Guan2

  • 1School of Physics and Telecommunication Engineering, South China Normal University, Guangzhou, China.

Journal of Biophotonics
|February 12, 2021
PubMed
Summary

This study introduces a new method for correcting motion artifacts in optical coherence tomography (OCT) retinal scans. The technique improves visualization and analysis of eye tissues, aiding in the diagnosis of various ophthalmic conditions.

Keywords:
boundary segmentationmotion correctionoptical coherence tomographyretinal imaging

More Related Videos

Author Spotlight: Advancements in In Vivo and Ex Vivo Retinal Imaging for Improved Glaucoma Diagnosis and Treatment
07:02

Author Spotlight: Advancements in In Vivo and Ex Vivo Retinal Imaging for Improved Glaucoma Diagnosis and Treatment

Published on: June 30, 2023

1.9K
Optical Coherence Tomography: Imaging Mouse Retinal Ganglion Cells In Vivo
08:17

Optical Coherence Tomography: Imaging Mouse Retinal Ganglion Cells In Vivo

Published on: September 22, 2017

19.7K

Related Experiment Videos

Last Updated: Nov 17, 2025

In vivo Structural Assessments of Ocular Disease in Rodent Models using Optical Coherence Tomography
07:44

In vivo Structural Assessments of Ocular Disease in Rodent Models using Optical Coherence Tomography

Published on: July 24, 2020

3.2K
Author Spotlight: Advancements in In Vivo and Ex Vivo Retinal Imaging for Improved Glaucoma Diagnosis and Treatment
07:02

Author Spotlight: Advancements in In Vivo and Ex Vivo Retinal Imaging for Improved Glaucoma Diagnosis and Treatment

Published on: June 30, 2023

1.9K
Optical Coherence Tomography: Imaging Mouse Retinal Ganglion Cells In Vivo
08:17

Optical Coherence Tomography: Imaging Mouse Retinal Ganglion Cells In Vivo

Published on: September 22, 2017

19.7K

Area of Science:

  • Ophthalmic imaging
  • Biomedical engineering
  • Medical image analysis

Background:

  • Motion artifacts significantly degrade the quality of ophthalmic optical coherence tomography (OCT) data.
  • Accurate visualization and analysis of retinal structures are crucial for diagnosing eye diseases.
  • Existing methods may not fully address cross-sectional motion artifacts in OCT volumes.

Purpose of the Study:

  • To present a novel method for correcting cross-sectional motion artifacts in retinal OCT volumes.
  • To enhance the accuracy of OCT data for physiological structure representation.
  • To facilitate easier visualization and subsequent analysis of retinal OCT images.

Main Methods:

  • Implemented a normalized cross-correlation algorithm for correcting motion along the x-direction (fast-scan).
  • Utilized polynomial fitting on the inner segment/outer segment (IS/OS) layer, segmented by the shortest path faster algorithm (SPFA), for axial motion compensation.
  • Applied the method to OCT volumes from volunteers with central serous chorioretinopathy.

Main Results:

  • The proposed method effectively corrects motion artifacts in retinal OCT volumes.
  • Demonstrated improved data quality for visualizing and analyzing retinal tissues.
  • The technique showed potential for application in evaluating ophthalmic diseases.

Conclusions:

  • The novel motion correction method significantly improves the quality of retinal OCT data.
  • This technique has potential clinical applications in diagnosing and monitoring diseases like diabetic retinopathy, glaucoma, and age-related macular degeneration.